Intelligent nutrition meal matching system and diet management method for healthy weight loss

A catering method and intelligent technology, applied in nutrition control, health index calculation, medical informatics, etc., to achieve the effect of simple system operation and scientific and accurate catering algorithm

CN109493945AInactive Publication Date: 2019-03-19广州仁生健康科技有限公司
3 Cites 1 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Publication Date
2019-03-19
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides an intelligent nutrition meal matching system and a diet management method for healthy weight loss. The method includes the following steps that the intelligent nutrition meal matching system is divided into different age groups according to user's age, and the standard value of energy intake for different age groups and nutrient standard value are calculated respectively;the dietary periods are selected, and the energy of each meal is calculated in each dietary period; according to the calculation formula, the standard weight range of carbohydrates, proteins, and fatsis determined according to the calculation formula, and users input the names of foods for each meal and calculate the amount of food they need according to the formula. The system can automaticallydistinguish the rationality of the meal matching result, solve the problem of abstraction of traditional nutritious diets, select staple and non-staple foods according to the season, the age, the sexand various physical indicators, and has the functions of determining nutritive ingredients, adjusting exercise recipes, formulating weight loss plans and the like.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the technical field of healthy diet management, in particular to an intelligent nutritional catering system and a diet management method for healthy weight loss. Background technique

[0002] Obesity is a common disease in modern human society, which can easily lead to various diseases of the human body. According to statistics, the overweight rate in China has risen to 30%, that is to say, 1 out of every 3 people is overweight, and 12% of adults are obese. Therefore, losing weight has become a national topic in today's society. When it comes to losing weight, people seem to prefer the simple method of dieting rather than exercising every day. Although the method of dieting to lose weight is simple, it has always maintained a high failure rate. Studies have shown that excessive dieting can cause many kinds of harm to our bodies. More than 90% of anorexia patients are women, and 10% to 20% of this group commit suicide due to ...

Examples

Embodiment 1

[0072] First of all, this system needs to analyze various basic indicators of the user, including age, height, and activity level. Through this analysis process, the dietitian's calculation of the average daily nutrition and calories required by the patient is simulated, and the results obtained are important indicators required in smart meal planning.

[0073] According to the age of the users, the intelligent nutritional catering system is divided into groups aged 2-17, groups aged 18-49, and groups over 50 years old, and the standard value of energy intake and the standard value of nutrients are calculated.

[0074] For the intelligent nutritional catering system for the 2-17-year-old group, the standard value of energy intake and the standard table of nutrients are measured by looking up the table:

[0075] Table 1-1 Energy intake standard table (energy value) for 2-17 years old

[0076]

[0077]

[0078] Table 1-2 Nutrient intake standard table for 2-17 years old (...

Embodiment 2

[0121] This embodiment is all the same as Step 1 to Step 3 of Embodiment 1, except that:

[0122] Step 4: Enter the food name and total weight of each meal, call the nutritional evaluation database in the server, and calculate the actual value of carbohydrates, proteins, and fats for each meal. Based on the carbohydrates, proteins, and fats calculated in step 3 Calculate the error value related to carbohydrates, protein, and fat. If the error value is within an acceptable range, go to step eight; if the error is within an unacceptable range, go to step six;

[0123] Step 6. According to the food name input by the user, rebalancing is performed according to the required amount of each meal. After the balance, for calculating the error value related to carbohydrates, protein, and fat, if the error value is within an acceptable range, Go to step eight; if the error is still within an unacceptable range, go to step seven;

[0124] Step 7. According to the balance result, point ou...