WO2023137803A1

WO2023137803A1 - Diet management system and method based on unmanned cooking machine

Info

Publication number: WO2023137803A1
Application number: PCT/CN2022/075533
Authority: WO
Inventors: 申文静; 尹澍
Original assignee: 深圳技术大学; 深圳蓝博王餐饮科技有限公司
Priority date: 2022-01-18
Filing date: 2022-02-08
Publication date: 2023-07-27
Also published as: CN114496163A

Abstract

A diet management system (1) and method based on an unmanned cooking machine, which system and method belong to the technical field of nutritional diet combination. The diet management system (1) comprises: a physical health index analysis module (11), which is run to obtain physical health index information and provide an output signal, which represents the physical health and life conditions of a customer; and a nutrition-balanced diet customization module (15), which comprises an unmanned cooking machine (151) and is used for receiving customer information and diet combination scheme information, completing an operation of cooking food, and delivering the food to the customer. By means of the unmanned cooking machine (151) of the nutrition-balanced diet customization module (15), automatic cooking can be realized, and a door-to-door delivery service is also provided, such that insofar as the balanced nutrition of the diet of the customer is ensured, the time of the customer is saved on to a certain extent.

Description

A meal management system and method based on an unmanned cooking machine

technical field

The invention belongs to the technical field of nutritional diet collocation, and in particular relates to a diet management system and method based on an unmanned cooking machine.

Background technique

The number of deaths caused by chronic diseases has accounted for 79% of the total number of deaths in the world, and more than 80% of chronic diseases can be prevented through effective nutritional supplements and exercise. Most of these chronic diseases are related to living habits, which can be prevented or adjusted by matching a nutritionally balanced diet.

The meal management systems in the prior art have the following problems: none of them can realize automatic cooking and provide customers with door-to-door meal delivery service. Therefore, there is an urgent need to design a meal management system and method based on an unmanned cooking machine to solve the above technical problems.

technical problem

The purpose of the present invention is to provide a dietary management system and method based on an unmanned cooking machine, aiming to provide a dietary management system for sub-healthy people, and under the premise of ensuring a balanced diet, use the unmanned cooking machine to complete meal cooking and provide door-to-door service.

technical solution

The present invention is achieved by providing a dietary management system based on an unmanned vegetable cooking machine, including a body health index analysis module and a nutritionally balanced meal customization module, wherein the body health index analysis module is used to analyze the user's body health index, and output a signal representing the body health index, the signal of the body health index and the daily calorie consumption information signal are both used to input the diet therapy prediction cycle planning module, and the diet therapy prediction cycle planning module is used to output the estimated planning information to the meal matching plan recommendation module. Meal collocation program information signal, the meal collocation program information signal is used to guide the nutritionally balanced meal customization module to complete the meal customization;

The nutritionally balanced meal customization module includes an unmanned cooking machine, and the nutritionally balanced meal customization module is used to receive the signal of the body health index and the information of the meal matching plan, complete the operation of cooking the meal, and deliver the meal to the customer.

Preferably, the body health index analysis module is used to transmit the output information to the dietary therapy prediction cycle planning module. When the sub-health degree of the customer's body delivered by the output signal exceeds the range of dietary conditioning, it can be input to the remote medical diagnosis and suggestion module.

Preferably, the remote medical diagnosis suggestion module is used to output doctor's diagnosis information and feed back the doctor's diagnosis information signal.

Preferably, the dietary therapy prediction cycle planning module is used to run the estimated planning information, and output a preliminary meal matching scheme information signal for guiding cooking, and transmit it to the meal matching scheme recommendation module.

Preferably, the meal matching plan recommendation module is used to compare the meal matching plan information, provide the meal matching plan information for regulating the customer's health, and transmit it to the nutritionally balanced meal customization module.

Preferably, the nutritionally balanced meal customization module is also used to receive feedback signals from the meal opinion feedback and suggestion module.

Preferably, the body health index analysis module is also used to transmit the output signal to the body health index tracking module, and the body health index tracking module is used to generate a comparison chart of body health index information.

Preferably, the type of the statistical graph is selected by the customer or configured by the system.

Preferably, the customer selection takes precedence over system configuration.

The present invention also provides a meal management method based on the unmanned cooking machine, which is executed based on the above-mentioned management system.

Beneficial effect

The unmanned cooking machine of the nutritionally balanced meal customization module in the present invention can realize automatic cooking and provide door-to-door service, which saves time for customers to a certain extent on the premise of ensuring balanced nutrition for customers' meals.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the description of the embodiments. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can also be obtained based on these drawings without creative work.

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 an embodiment of the dietary management system in the present invention;

Fig. 3 is an explosion schematic diagram of the unmanned cooking machine in the present invention.

Reference signs: 1-dietary management system; 11-body health index analysis module; 12-intake and consumption calorie calculation module; 13-diet opinion feedback suggestion module; 14-diet collocation program recommendation module;

Embodiments of the present invention

In order to make the technical problems, technical solutions and beneficial effects to be solved by the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The specific embodiments described here are only used to explain the present invention, not to limit the present invention. It should be noted that although the steps of the relevant methods in the present invention are described in a specific order, this does not require or imply that these operations must be performed in this specific order, or that all the shown operations must be performed to achieve the desired result. On the contrary, the steps described herein can change the execution order. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined into one step for execution, and/or one step may be decomposed into multiple steps for execution.

Example Meal Management System

1, in this embodiment, the dietary management system 1 includes a body health index analysis module 11, an intake and consumption calorie calculation module 12, a diet opinion feedback and suggestion module 13, a telemedicine diagnosis and suggestion module 18, a meal matching plan recommendation module 14, a nutritionally balanced meal customization module 15, a body health index tracking module 16 and a diet therapy period planning module 17.

In this embodiment, the dietary management system 1 of the present invention realizes the customization of a nutritionally balanced diet for conditioning the body according to the customer's health index information. The health index information can be run through the health index analysis module 11 and stored in the health index analysis module 11 according to the order of date and time. Specifically, the health index information with an earlier date is stored before the health index information with a later date; if the date is the same, the health index information with an earlier time is stored before the health index information with a later date. In order to enable the analysis of the physical health index analysis module 11 to provide a accurate reference for the diet mixing scheme. First, enter the customer's personal information to the dietary management system 1. Among them, the customer's personal information includes gender information, age data information, height data information, weight data information, and lifestyle information. Specifically, the living habits include food preferences, average sleep duration, sleeping time to sleep time. Specifically, the types of working nature are divided into brainpower work and physical work according to different angles. Secondly, the body health index analysis module 11 is used to convert the customer's personal information into the body health index information, the purpose is to form a personalized meal collocation reference, so as to customize a nutritionally balanced meal suitable for the customer through the body health index information, thereby helping to regulate the customer's body.

In this embodiment, the body health index information includes body shape index data information, and the body shape index data is represented by BMI (full name in English: Body Mass Index, full name in Chinese: body shape index), where the calculation formula is BMI=weight (kg)÷height ² (m ² ), and the judgment criteria of the BMI are thin, standard, exceeding the standard, and severely exceeding the standard. For example, if the BMI is below 18.5, it means that the body is thin.

The body health index information also includes body water percentage data information, bone mass data information, muscle mass data information, basal metabolism data information and visceral fat metabolism data information. Obviously, the water content information is the percentage information of water in the body of the human body, and the water content standards in the human body can be divided into unqualified standards, qualified standards and excellent standards according to the water content. For example, the body water content of women is 45%~60%, of which 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, if a male weighs less than 60 kg, the specified bone mass is about 2.5 kg; if a male weighs 60-75 kg, the specified bone mass is about 2.9 kg; if a male weighs more than 75 kg, the specified bone mass is about 3.2 kg; the bone mass judgment standard is that if the bone weight is lower than the specified bone mass, it should be considered whether the bone density is low.所述基础代谢信息为衡量人体处于静止状态下的体能消耗信息，所述基础代谢信息不同性别在不同年龄段内的基础代谢标准值不同，比如，女性在18~29岁，基础代谢标准值为23.6kcal/kg/日；所述内脏脂肪代谢信息用级数来表示人体的内脏脂肪含量，并通过远程医疗诊断建议模块18给出专业医生建议以辅助膳食搭配方案推荐模块14实施制定膳食搭配方案，其中通过每级表示人体内每10cm ²的内脏脂肪含量，比如，女性处于6级以上，表示内脏脂肪含量过多，所述远程医疗诊断建议模块18输出客户需要积极参加体育运动并注意减少自身热量摄入等专业医生建议，以及将专业医生建议传输至所述膳食搭配方案推荐模块18以辅助其实施定制膳食搭配方案。

Referring to Fig. 2, in this embodiment, the dietary management system 1 is used to judge whether the body sub-health degree presented by the customer’s body health index information is beyond the range that can be adjusted by diet therapy. When it exceeds the range that can be adjusted by diet therapy, the diet management system 1 is used to transmit the body health index information signal to the remote medical diagnosis and suggestion module 18. After that, the telemedicine diagnosis and suggestion module 18 outputs a professional doctor’s recommendation that advises the customer to go to a specific department in time; Then, the remote medical diagnosis suggestion module 18 is used to output the doctor’s suggestion information, the doctor’s suggestion information can be but not limited to strengthening physical exercise and the like to change life habits, also can be but not limited to the suggestion of eating more fruits and vegetables to supplement the necessary organic compounds to maintain health, and can also be a combination of both. Afterwards, the telemedicine diagnosis opinion module 18 is used to transmit the doctor's suggestion information to the dietary therapy expected cycle planning module 17 and the meal collocation scheme recommendation module 14 respectively, so that the doctor's suggestion can be used to assist the diet therapy expected cycle planning module 17 to run out the customer's diet.

In this embodiment, the body health index analysis module 11 is used to transmit the customer's personal information and body health index information to the dietary therapy estimated cycle planning module 17, so as to improve the estimated planning information of the client's dietary therapy, so as to create a meal matching plan that suits the customer.

In this embodiment, the formulating of the customer’s diet therapy plan is related to the customer’s daily calorie consumption. The calorie consumption information is output by the intake and consumption calorie calculation module 12. The intake and consumption calorie calculation module 12 is used to estimate the customer’s daily calorie consumption information based on the customer’s daily habit information. The schedule habit information includes information on commuting, dining, whether there is exercise habit, and whether to stay up late; the commuting method includes but is not limited to driving, cycling, walking or taking public transportation. The average calorie consumption per day. If the calorie intake of the customer according to the meal plan is less than the average calorie consumption per day, the customer can have a healthy body and a beautiful posture. The exercise habit information also includes whether there is habit information of postprandial exercise. The postprandial exercise habit information includes but not limited to habit information of walking after dinner. Walking after dinner is one of the most important behaviors for maintaining health.

In this embodiment, the intake and consumption calorie calculation module 12 is also used to transmit the daily calorie consumption information to the dietary therapy estimated cycle planning module 17, so as to assist the diet therapy estimated cycle planning module 17 to formulate estimated cycle information and estimated planning information. The dietary therapy prediction cycle planning module 17 is used to run out the client’s dietary therapy prediction cycle information and estimated planning information according to the daily calorie consumption information, doctor’s advice information, and body health index information, so as to assist the meal matching program recommendation module 14 to formulate a meal matching program through the estimated cycle information and estimated planning information.

In this embodiment, the diet therapy estimated period planning module 17 is also used to transmit customer information, customer body health index information, doctor's advice information, diet therapy estimated cycle information and estimated planning information to the meal matching scheme recommendation module 14 . The meal matching program recommendation module 14 is used to receive the customer's personal information, customer body health index information, doctor's advice information, estimated cycle information and estimated planning information of dietary therapy, and compare the body health index information and estimated planning information with the nutritional value of ingredients to adjust and improve the dietary matching program for the client's dietary therapy, so as to create a targeted meal matching program that belongs to the customer and has significant curative effect, thereby ensuring that the customer regains health within the expected cycle.

Referring to Fig. 2 and Fig. 3, in this embodiment, the meal collocation recommendation module 14 is also used to transmit customer information and meal collocation plan information to the nutritionally balanced meal customization module 15, so as to cook a customer-specific meal through the meal collocation plan. The nutritionally balanced meal customization module 15 is used to receive customer information and meal matching plan information for dietary therapy, and transmit the meal matching plan information to the unmanned vegetable cooking machine, and deliver the meal cooked by the unmanned vegetable cooking machine to the door according to the customer information adapted to the meal matching plan. Specifically, the nutritionally balanced meal customization module 15 includes an unmanned cooking machine, which is used for cooking and delivering meals. The unmanned vegetable cooking machine includes a network order payment unit, which is used to issue delivery tasks according to user information, in order to ensure that meals are delivered to customers within an estimated time after the customer places an order.

In this embodiment, the unmanned vegetable cooking machine device includes a housing and a cover plate adapted to the housing. The housing is provided with a first partition plate and a second partition plate. The first partition plate and the second partition plate are used to separate the unmanned vegetable cooking machine according to their functions, specifically to separate the functions of pouring, cooking and loading of the unmanned vegetable cooking machine, so as to realize the automation and intelligence of the unmanned vegetable cooking machine. Wherein, the unmanned cooking machine includes an automatic side dish unloading unit and a continuous dish washing unit, the automatic side dish unloading unit includes a bottom plate, a rotary member and a driving mechanism, the bottom plate is arranged on the first partition plate, and the drive mechanism drives the rotary part to rotate around the central axis of the bottom plate; the bottom plate is provided with a turning piece for dumping dishes; the automatic side dish dumping unit also includes a discharge chamber between the first partition plate and the second partition plate. The continuous pan loading and washing unit includes a pot body and a frying shovel that is movable with the pot body. Corresponding positions on the periphery of the pot body are respectively fixed on the housing through a rotating shaft and a motor. A plurality of support sleeves are arranged under the pot body. The support sleeves are fixed on the second partition plate through support rods. The support sleeves are used to place utensils for loading meals.

In this embodiment, after the customer finishes eating, the customer can fill in the opinion on the quality of the customized meal and/or make suggestions according to the customer's own preferences and/or the service attitude evaluation information during the meal delivery process of the takeaway personnel in the meal opinion feedback suggestion module 13. Specifically, the opinions on the customized meal and/or the suggestion information put forward according to the customer's own preferences are transmitted to the unmanned cooking machine. The unmanned vegetable cooking machine includes an automatic side dish dumping unit and an automatic pot dumping unit. Time, in order to meet customer requirements for meals. The automatic pot dumping unit can increase the number of times the pot body is turned to meet the customer's expectation on the taste of the meal; and the service attitude evaluation information during the meal delivery process of the takeaway personnel is transmitted to the network order payment unit.

In this embodiment, the customer can also make body health index information in the body health index analysis module 11 while eating the customized meal. The body health index analysis module 11 is used to transmit the current and last body health index information to the body health index tracking module 16 . Wherein, the number of copies of the body health index information transmission is not limited to this time and the last time, nor is it limited to the transmission of coherent sequence of body health index information, and may also be incoherent sequence of body health index information. Customers can select the body health index information to be transmitted in the body health index analysis module 11 according to themselves. The body health index tracking module 16 is used to compare multiple pieces of body health index information received and run an intuitive fan-shaped statistical graph, which can intuitively and clearly reflect the quantitative relationship between part and part, part and whole; the type of the statistical graph is not limited to fan-shaped statistical graphs, and it also includes bar statistical graphs, line statistical graphs, and the like. Before running the statistical chart, the customer can choose according to his own needs in the body health index tracking module 16. For example, the customer needs to know the change trend of the body moisture rate data, so as to understand the change situation of his own body moisture rate data, and the customer can choose the line chart. The body health index tracking module 16 can also self-adjust according to the received multiple pieces of body health index information. For example, the body health index information indicates that the visceral fat content is the key index for the customer's dietary conditioning. The body health index tracking module 16 can select a bar chart to highlight the value of the visceral fat metabolism information, so that the customer can understand his physical condition. Moreover, the priority selected by the customer is higher than the priority assigned by the BMI tracking module 16. Specifically, when the type of statistical graph selected by the customer is inconsistent with the type of statistical graph deployed by the health tracking module, the meal management system 1 defaults to the type of statistical graph selected by the customer.

The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention shall be included within the protection scope of the present invention.

Claims

A dietary management system based on an unmanned cooking machine, characterized in that: the dietary management system includes:

It includes a body health index analysis module and a nutritionally balanced meal customization module, wherein the body health index analysis module is used to analyze the user's body health index, and output a signal representing the body health index, the signal of the body health index and the daily calorie consumption information signal are used to input the diet therapy prediction cycle planning module, the diet therapy prediction cycle planning module is used to output the estimated planning information to the meal matching program recommendation module, the daily calorie consumption information signal is calculated and output by the intake and consumption calorie calculation module, and the meal matching program recommendation module is used to output meal matching program information signals, and the meal matching program information signal is used to guide the customization of nutritionally balanced meals The module completes meal customization;

The nutritionally balanced meal customization module includes an unmanned cooking machine, and the nutritionally balanced meal customization module is used to receive customer information and meal matching plan information, complete the operation of cooking meals, and deliver meals to customers.
The dietary management system based on an unmanned vegetable cooking machine according to claim 1, wherein the physical health analysis module is used to transmit output information to the diet therapy prediction cycle planning module, when the sub-health degree of the customer's body transmitted by the output signal exceeds the range of diet therapy conditioning, it can be input to the remote medical diagnosis and suggestion module.
The meal management system based on an unmanned vegetable cooking machine according to claim 2, wherein the remote medical diagnosis suggestion module is used to output doctor's diagnosis information and feed back the doctor's diagnosis information signal.
The dietary management system based on an unmanned cooking machine according to claim 2, wherein the dietary therapy prediction cycle planning module is used to run estimated planning information, and output a preliminary meal matching plan information signal for guiding cooking, and transmit it to the meal matching plan recommendation module.
The meal management system based on an unmanned vegetable cooking machine according to claim 4, wherein the meal collocation recommendation module is used to compare the meal collocation plan information, and provide the meal collocation plan information for conditioning the customer's health, and transmit it to the nutritionally balanced meal customization module.
The diet management system based on an unmanned vegetable cooking machine according to claim 5, wherein the nutritionally balanced diet customization module is also used to receive feedback signals from the diet opinion feedback and suggestion module.
The dietary management system based on an unmanned cooking machine according to claim 1, wherein the body health index analysis module is also used to transmit output signals to the body health index tracking module, and the body health index tracking module is used to generate body health index information comparison statistics.
The meal management system based on an unmanned vegetable cooking machine according to claim 7, wherein the type of the statistical graph is selected by the customer or configured by the system.
The meal management system based on an unmanned vegetable cooking machine according to claim 8, wherein the customer's choice takes precedence over system deployment.
A dietary management method, characterized in that it is implemented by using the dietary management system according to any one of claims 1-9.