CN114496163A - Meal management system and method based on unmanned cooking machine - Google Patents

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

Meal management system and method based on unmanned cooking machine

technical field

The invention belongs to the technical field of nutritious meal matching, and in particular relates to a meal 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 lifestyle habits, which can be prevented or managed by matching a nutritionally balanced meal plan.

The meal management systems in the prior art have the following problems: none of them can realize automatic cooking and provide door-to-door meal delivery services for customers. 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.

SUMMARY OF THE INVENTION

The purpose of the present invention is to provide a meal management system and method based on an unmanned vegetable cooking machine, aiming to provide a meal management system whose audience is sub-healthy people, and under the premise of ensuring a balanced diet, using an unmanned vegetable cooking machine to complete Meals are cooked and delivered to home.

The present invention is achieved by providing a meal management system based on an unmanned 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 the 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, the daily calorie consumption information signal is calculated and output by the intake and consumption calorie calculation module, the meal matching plan recommendation module is used to output the meal matching plan information signal, and the meal matching plan information signal is used to guide nutritionally balanced meals The customization module completes meal customization;

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

Preferably, the body health index analysis module is used to transmit the output information to the diet therapy prediction cycle planning module, when the sub-health level of the client's body transmitted by the output signal exceeds the range of diet therapy, and can be input to the telemedicine diagnosis suggestion module.

Preferably, the telemedicine diagnosis suggestion module is used for outputting the doctor's diagnosis information and feeding back the doctor's diagnosis information signal.

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

Preferably, the meal collocation plan recommendation module is used to compare the meal collocation plan information, provide the meal collocation plan information for adjusting the health of the client, and transmit it to the nutritionally balanced meal customization module.

Preferably, the nutritionally balanced meal customization module is further configured to receive a feedback signal from the meal feedback and suggestion module.

Preferably, the body health index analysis module is further configured to transmit an output signal to a body health index tracking module, and the body health index tracking module is configured to generate a comparison statistics chart of the body health index information.

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

Preferably, the customer selection takes precedence over system deployment.

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

Beneficial effects: 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 the customer's time to a certain extent on the premise of ensuring the balanced nutrition of the customer's meal.

Description of drawings

In order to illustrate the technical solutions in the embodiments of the present invention more clearly, the following briefly introduces the accompanying drawings 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 from these drawings without creative effort.

1 is a schematic diagram of the relationship between the modules in the present invention;

2 is a schematic diagram of steps of an embodiment of a meal management system in the present invention;

Figure 3 is an exploded schematic diagram of the unmanned cooking machine of the present invention.

Reference numerals: 1-diet management system; 11-body health index analysis module; 12-calorie intake and consumption calculation module; 13-diet feedback and suggestion module; 14-meal matching plan recommendation module; 15-nutritious balanced meal customization module ; 151- Unmanned cooking machine; 16- Physical health index tracking module; 17- Dietary therapy prediction cycle planning module; 18- Telemedicine diagnosis and suggestion module.

Detailed ways

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 with reference to the accompanying drawings and embodiments. The specific embodiments described herein are only used to explain the present invention, and are not intended to limit the present 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 the operations must be performed in that particular order, or that all illustrated operations must be performed to achieve the desired As a result, instead, the steps described herein may change the order of execution. Additionally or alternatively, certain steps may be omitted, multiple steps may be combined to be performed as one step, and/or one step may be decomposed into multiple steps to be performed.

Example meal management system

Referring to FIG. 1 , in this embodiment, the meal management system 1 includes a body health index analysis module 11 , a calorie consumption calculation module 12 , a meal feedback suggestion module 13 , a telemedicine diagnosis suggestion module 18 , and a meal matching scheme. A recommendation module 14 , a nutritionally balanced meal customization module 15 , a physical health index tracking module 16 and a dietary therapy prediction cycle planning module 17 .

In this embodiment, the meal management system 1 of the present invention realizes the customization of a meal for conditioning the body and nutritionally balanced according to the customer's body health index information. The body health index information can be run through the body health index analysis module 11, and according to The order of the date and time is stored in the body health index analysis module 11, specifically, the body health index information with the earlier date is stored before the body health index information with the later date; the same date, the body health index information with the earlier time Stored in front of physical fitness index information that is later in time. 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 matching plan, first input the customer's personal information into the meal management system 1, wherein the customer's personal information includes gender information, age data information, height data information, weight data information, and living habit information. Specifically, the living habit information includes food preference, average sleep duration, start and end of sleep time, weekly/daily exercise duration, and type of work nature, etc. , the types of the work nature are mainly divided into mental work and physical work according to different angles. Secondly, the body health index analysis module 11 is used to run the customer's personal information into the body health index information, the purpose is to form a personalized meal matching reference, so as to customize a meal suitable for customers and nutritionally balanced through the body health index information , thereby helping to condition the client's body.

In this embodiment, the body health index information includes body mass index data information, and the body mass index data is represented by BMI (full name in English: Body Mass Index, full name in Chinese: body mass index), where the calculation formula is BMI=weight ( kg)÷height ² (m ² ), the BMI judgment criteria are underweight, standard, over-standard, and severely over-standard, for example, a BMI below 18.5 indicates a lean body.

The body health index information further includes body water rate 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 information on the percentage of body water in the human body, and the water content standard in the human body can be divided into unqualified standards, qualified standards and excellent standards according to the water content. 60%, of which 50% is the qualified standard, and more than 55% is the excellent standard. The bone mass information is the weight of human bones related to body weight. For example, if a man weighs less than 60 kg, the specified bone mass is about 2.5 kg; if a man weighs 60 to 75 kg, the specified bone mass is about 2.9 kg; if a man weighs 75 kg, the specified bone mass is about 2.9 kg. Above, the specified bone mass is about 3.2kg; the criterion for determining the bone mass is that if the bone weight is lower than the specified bone mass, it should be considered whether the density of the bones is low. quality food. The basal metabolism information is information that measures the physical energy consumption of the human body in a static state, and the basal metabolism standard value of the basal metabolism information is different for different genders in different age groups. 23.6kcal/kg/day; the visceral fat metabolism information is used to represent the visceral fat content of the human body, and the telemedicine diagnosis suggestion module 18 gives professional doctor advice to assist the meal matching plan recommendation module 14 to implement and formulate a meal matching plan. , where each level represents the visceral fat content per 10cm ² in the human body. For example, if women are at level 6 or above, it means that the visceral fat content is too much. The telemedicine diagnosis suggestion module 18 outputs that the customer needs to actively participate in sports and pay attention to reducing their own Professional doctor's advice such as calorie intake, and the professional doctor's advice is transmitted to the meal matching plan recommendation module 18 to assist it in implementing a customized meal matching plan.

Referring to Figure 2, in this embodiment, the meal management system 1 is used to determine whether the sub-health level presented by the client's body health index information exceeds the range that can be adjusted by diet therapy. The meal management system 1 is used to transmit the body health index information signal to the telemedicine diagnosis suggestion module 18, after which the telemedicine diagnosis suggestion module 18 outputs the professional doctor's suggestion that the client should go to a specific department for treatment in time; When adjusting the range, the meal management system 1 is used to transmit the physical health index information and personal information to the telemedicine diagnosis and suggestion module 18, and then the telemedicine diagnosis and suggestion module 18 is used to output the doctor's suggestion information, the doctor Suggested information can be, but not limited to, advice to change life habits, such as strengthening physical exercise, or advice to supplement organic compounds necessary for maintaining good health, such as eating more fruits and vegetables. is both. After that, the telemedicine diagnosis opinion module 18 is used to transmit the doctor's suggestion information to the diet therapy prediction cycle planning module 17 and the meal matching plan recommendation module 14 respectively, so as to assist the diet therapy prediction cycle planning module 17 to run the client's diet therapy through the doctor's suggestion. The expected cycle information, and the matching plan information of the customer's diet is output by the doctor's suggestion to assist the meal matching plan recommendation module 14.

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 diet therapy prediction cycle planning module 17, so as to improve the client's diet therapy prediction planning information, so as to create a suitable customer meal plan.

In this embodiment, the formulation of the matching plan for the client's diet is related to the client's own daily calorie consumption, and the calorie consumption information is output by the calorie intake and consumption calculation module 12, and the calorie intake and consumption calculation module 12 is used for The customer's daily calorie consumption information is estimated according to the customer's daily habit information. The schedule habit information includes information on commuting to and from get off work, meals, whether there is exercise habit, and whether to stay up late; the commuting methods include but are not limited to driving, Cycling, walking or taking public transportation. Specifically, for example, according to the distance of cycling or walking, it takes time to estimate the average calories consumed per day. To enable customers to have a healthy body and beautiful posture. The exercise habit information also includes the postprandial exercise habit information, the postprandial exercise habit information includes but is not limited to the post-dinner walk habit information, and the post-dinner walk is very important to maintain good health one of the behaviors.

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

In this embodiment, the dietary therapy prediction cycle planning module 17 is further configured to transmit client information, client health index information, doctor advice information, dietary therapy expected cycle information and estimated planning information to the meal matching plan recommendation module 14 . The meal matching plan recommendation module 14 is used to receive the personal information of the customer, the customer's physical health index information, the doctor's advice information, the expected period information and the estimated planning information of diet therapy, and combine the physical health index information and the estimated planning information with the ingredients' information. The nutritional value is compared to adjust and improve the customer's dietary plan, so as to create a targeted and effective meal plan for the customer, so as to ensure that the customer regains health within the expected period.

Referring to FIG. 2 and FIG. 3 , in this embodiment, the meal matching plan recommendation module 14 is also used to transmit the customer information and the meal matching plan information to the nutritionally balanced meal customization module 15, so as to facilitate cooking through the meal matching plan Customer-specific meals. The nutritionally balanced meal customization module 15 is used to receive customer information and meal matching plan information of diet therapy, and transmit the meal matching plan information to the unmanned cooking machine, and match the meal basis cooked by the unmanned cooking machine with the meal. Customer information adapted to the solution is delivered to your door. Specifically, the nutritionally balanced meal customization module 15 includes an unmanned cooking machine, which is used for cooking and delivering meals. The unmanned cooking machine includes a network order payment unit, which is used to issue distribution tasks according to user information, and the purpose is to ensure that meals are delivered to customers in a timely manner within an estimated time after customers place orders. .

In this embodiment, the unmanned cooking machine device includes a casing and a cover plate adapted to the casing, the casing is provided with a first partition plate and a second partition plate, the first partition plate The separating plate and the second separating plate are used to separate the unmanned cooking machine according to the function, specifically, the functions of pouring, cooking and loading the unmanned cooking machine are separated, so as to realize the automation of the unmanned cooking machine. and intelligent. Wherein, the unmanned cooking machine includes an automatic side dish pouring unit and a continuous pan loading and pan washing unit, the automatic side dish pouring unit includes a bottom plate, a rotary member and a driving mechanism, and the bottom plate is arranged on the first partition plate on the bottom plate, the drive mechanism drives the rotary member to rotate around the central axis of the bottom plate; the bottom plate is provided with a flipping member for dumping dishes; between the discharge chambers. The continuous pan-loading and pan-washing unit includes a pan body and a frying shovel that movably cooperates with the pan body. The corresponding positions on the peripheral side of the pan body are respectively fixed on the housing through a rotating shaft and a motor, and a plurality of supports are arranged below the pan body. The support sleeve is fixed on the second partition plate through the support rod, and the support sleeve is used for placing the utensils for the meal on the plate, and the number of the support sleeve is multiple, so as to improve the working efficiency of the unmanned cooking machine , so that customized exclusive meals can be delivered to customers in a timely manner.

In this embodiment, after the customer completes the meal, the customer can fill in comments on the customized meal quality in the meal feedback and suggestion module 13 and/or make suggestions according to the customer's own preferences and/or service attitude evaluation information during the delivery of the meal by the takeaway staff , the meal feedback and suggestion module 13 is used to receive comments on the quality of customized meals and/or suggestions based on the customer's own preferences and/or service attitude evaluation information in the process of meal delivery by the takeaway, and send the feedback to the customized meals. The opinions and/or the suggestion information according to the customer's own preferences are passed to the nutritionally balanced meal customization module 15, specifically, the opinions on the customized meal and/or the suggestion information according to the customer's own preferences are passed to the unmanned cooking machine, the said The unmanned cooking machine includes an automatic side dish pouring unit and an automatic pot pouring unit, which are used to make suggestions based on opinions on customized meals and/or according to customers' own preferences The suggested information to adjust the cooking process, for example, the customer's opinion on the customized meal is that the amount of salt is too much, the meal taste is burnt and hard, the automatic side dish pouring unit can reduce the amount of salt added and increase the cooking time, so that To meet the customer's dietary requirements. The automatic pot dumping unit can increase the number of times the pot body is turned over to meet the customer's expectation on the taste of the meal; and transmit the service attitude evaluation information of the takeaway staff during the meal delivery process to the online order payment unit, for example, customer evaluation of take-out The service attitude of the personnel during the meal delivery process is poor, and the online ordering and payment unit is used to receive the customer's evaluation information and issue a warning to the delivery personnel.

In this embodiment, during the period of eating the customized meal, the customer can also perform the information of the body health index in the body health index analysis module 11 . The body health index analysis module 11 is configured to transmit the current and previous body health index information to the body health index tracking module 16 . Among them, the number of copies of the physical health index information is not limited to this time and the last time, nor is it limited to the physical health index information that is transmitted in a sequential order, or it can be the physical health index information that is not consecutive in sequence. 11 According to their own choice, the physical health index information that needs to be transmitted. The body health index tracking module 16 is used to compare the received multiple pieces of body health index information and run an intuitive fan-shaped statistical chart, which can intuitively and clearly reflect the number of parts and parts, and parts and the whole. Relationships; the types of the statistical charts are not limited to fan-shaped charts, but also include bar charts, line charts, and the like. Before running the statistical graph, the client can choose according to their own needs in the body health index tracking module 16. For example, the client needs to know the change trend of the body water rate data, so as to understand the change of the body water rate data, the customer can choose Line chart. The body health index tracking module 16 can also perform self-adjustment according to the received multiple pieces of body health index information. For example, the body health index information indicates that the content of visceral fat is the key index of the client's diet therapy. The body health index tracking module 16. Bar charts can be selected to highlight the values of visceral fat metabolism information, so that customers can understand their physical conditions. And the priority selected by the customer is higher than the priority allocated by the physical health index tracking module 16. Specifically, when the type of the statistical chart selected by the customer is inconsistent with the type of statistical chart allocated by the physical health tracking module, the meal management system 1 defaults to the application. The type of chart 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 in the protection of the present invention. within the range.

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.

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