Diet management method and system, electronic equipment and storage medium

Abstract

The embodiment of the invention belongs to the field of big data, and relates to a diet management method and system, electronic equipment and a storage medium, and the method comprises the followingsteps: obtaining the physiological information of a user, and determining the reasonable diet intake data of the user according to the physiological information of the user; reading user take-out order data from a take-out App associated with the user, analyzing the user take-out order data, and extracting actual diet intake data of the user; comparing the actual diet intake data of the user withthe reasonable diet intake data, and judging whether the user has diet deviation or not; when the diet deviation exists, selecting a reasonable diet scheme matched with the diet deviation from a dietdatabase, and pushing the reasonable diet scheme to the user. According to the method, the takeout order data of the user is subjected to statistical analysis, and the reasonable diet scheme is selected from the diet database for pushing in a big data matching mode when the diet deviation exists, so that the diet deviation is eliminated, and the actual diet intake data of the user conforms to or approaches the reasonable diet intake data.

Description

technical field [0001] The present application relates to the field of big data technology, in particular to a diet management method, system, electronic equipment and storage medium. Background technique [0002] Users are usually confused about their daily diet: what to eat and how much to eat every day, in order to meet their own nutritional needs and not cause obesity due to excessive intake. All current diet recommendations in books are based on the average values ​​of the general public, but each individual has different living habits and dietary preferences, so there are great differences. [0003] Various systems for people's diet management emerge in an endless stream. The existing diet management system mainly calculates the calories consumed based on the user's exercise data, and then recommends reasonable diet or ingredients to the user. At present, many supporting application software (apps) of sports bracelets have adopted this method. At present, there are a...

AI Technical Summary

Problems solved by technology

Individual nutritional intake and analysis are related to many factors, and it is difficult to obtain accurate data information only by subjective observation

The existing computer technology can only analyze the basic characteristics of the human body such as height, weight, age, etc. The nutritional data report is based on the average value of the public, and the accuracy is very poor. Personalized nutritional guidance has not been realized.

It can be seen that the existing technology still cannot solve the problem of personalized accurate nutritional analysis and dietary guidance.

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