Nutritious recipe generation method and device

Abstract

The invention discloses a nutritious recipe generation method and device. The method comprises the following steps of acquiring basic information and health information of a user, wherein the health information comprises dietary information of the user; evaluating dietary risk of the user according to the basic information and the health information; calculating energy and nutrient intake quantity which is beneficial for preventing health risk according to the basic information and the health information, and allocating the energy and nutrient intake quantity to diet of each daily meal of the user; and generating a nutritious recipe of the user according to preset selection food, the dietary risk and the energy and nutrient intake quantity required for each meal of the user. By the method, the nutritious recipe conforming to the user can be recommended to the user, and the acceptance degree of the user for the recipe is improved; and moreover, since the generation of the nutritious recipe is dependent on a computer and internet big data technique, the compiling cost of the recipe conforming to the user is greatly reduced.

Description

technical field [0001] The invention relates to the technical field of electronic management of nutritional recipes, in particular to a method and device for generating nutritional recipes. Background technique [0002] The Chinese Nutrition Society has released a new version of the "Dietary Guidelines for Chinese Residents". Through research on healthy diets, it has launched a dietary pagoda model for Chinese population standards, and proposed recommended data on dietary nutrition and energy intake. However, these recommended dietary structure and energy supply data about population health are generated based on the statistical analysis of a certain sample size survey data to determine the recommended value range for the relationship between dietary energy supply and structure of a certain population, so it is not of sufficient application value for specific individuals. Because the dietary prescriptions for different groups of people launched according to the traditional m...

AI Technical Summary

Problems solved by technology

However, these recommended dietary structure and energy supply data about population health are generated based on the statistical analysis of a certain sample size survey data to determine the recommended value range for the relationship between dietary energy supply and structure of a certain population, so it is not of sufficient application value for specific individuals. Because the dietary prescriptions for different groups of people launched according to the traditional method generally give general and uniform dietary prescriptions, which cannot be quantified in response to individual or group characteristics

[0003] Although, a professional nutritionist will base on the basic characteristics of the individual, such as height, weight, exercise, disease and other needs, according to the nutritional content and content of various foods, the body's response to energy, protein, fat, carbohydrates, vitamins, etc. The demand for nutrients, the dietary ratio of each meal, after complex calculations, choose a reasonable combination of food to maintain a balanced nutrition, but for individuals, the service cost of a private nutritionist is very high

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