Digital smart dietary structure evaluation device and method

Abstract

The invention discloses a digital smart dietary structure evaluation device and method. The digital smart dietary structure evaluation device comprises a weighing device and a terminal, has the advantages of being capable of automatically memorizing nutrient data and being visual and easy to operate, being convenient for testers to exchange the same kind of food, and being capable of meeting dietary demands of different people, avoiding food immobilization, and improving the profound understanding of people for the quantity and quality of daily food so that people eat as required; meanwhile, the digital smart dietary structure evaluation device saves the dietary survey time for nutritionists and endocrinologists, improves nutrient intake accuracy, improves the mass data analysis and deep exploration capability, helps to find association rules in data and prevents malnutrition and chronic diseases. The digital smart dietary structure evaluation method is fast, convenient, standard in the flow, high in the survey result validity and credibility, and easy to learn and understand, enables the nutritionists to get accurate data and the testers to easily master the reasonable diet method, can be popularized in a large scale and has a good application prospect.

Description

technical field [0001] The invention relates to a digital intelligent diet nutritional structure evaluation device and evaluation method, which can be applied in multiple fields such as nutritional measurement, analysis and evaluation, dietary investigation of specific groups of people / collectives, and individual dietary intake monitoring. Background technique [0002] Dietary survey is an important method to understand the dietary intake status of the population, and it is also an important means of individualized nutritional evaluation. Dietary evaluation methods include accounting method, chemical analysis method, food frequency, 24-hour dietary review method, dietary history method, and weighing method. However, these methods have disadvantages such as long time, large errors, heavy workload, and poor data accuracy. [0003] There are still no food scales for multiple food accumulation and data storage and the operating tools for the public to adjust their dietary struct...

AI Technical Summary

Problems solved by technology

However, this method still has the problem of poor accuracy

[0004] At present, the research on similar nutritional software in the market is not mature, and most of them lack professional and accurate guidance. Many small software similar to nutritional recipes have many shortcomings. First of all, they have universal characteristics and cannot be personalized according to the actual situation in the family.

Secondly, the nutrition software on the market mostly relies on the 24h review method to record the daily food. Many people cannot understand the estimation of the amount by relying on memory. It is usually a biased estimation, and there is still a lack of a scientific and effective means of quantification.

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