A Personalized Complex Nutrient Real-Time Generation System and Method Based on AI Algorithms

CN122091099APending Publication Date: 2026-05-26ZHONGYUFU NEW ENERGY TECHNOLOGY (SHENZHEN) CO LTD

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Patent Information

Authority / Receiving Office: CN · China
Patent Type: Applications(China)
Current Assignee / Owner
Filing Date: 2026-02-12
Publication Date: 2026-05-26

AI Technical Summary

Technical Problem

Existing technologies struggle to achieve precise and immediate personalized nutritional interventions, lack effective integration of multi-source heterogeneous health data, exhibit technological gaps between data analysis and actual product preparation, have poor system scalability, and are unable to adapt to dynamically changing individual health needs.

Method used

By collecting multi-dimensional health data from individuals and using graph attention networks (GAT) for fusion analysis, customized production instructions are generated, and personalized nutrient products are prepared on demand by intelligent production devices such as 3D printing capsule machines or intelligent beverage preparation equipment.

Benefits of technology

It has achieved full-process automation and intelligence from individual health data to personalized health products, improved the accuracy of nutritional status identification and the efficiency of health intervention, reduced resource waste and human error, and ensured the reliability and scalability of large-scale personalized health services.

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Abstract

This invention provides a personalized compound nutrient real-time generation system and method based on AI algorithms, relating to the field of intelligent manufacturing technology. The system includes collecting multi-dimensional health-related data of an individual; fusing and analyzing the multi-dimensional health-related data based on an artificial intelligence model to obtain the individual's nutritional status and required nutrients; generating customized production instructions based on the individual's nutritional status and required nutrients, and transmitting the customized production instructions to a remotely controlled intelligent production device; and the intelligent production device preparing personalized products according to the received customized production instructions. This invention integrates data perception, intelligent decision-making, instruction issuance, and physical preparation throughout the entire process, thereby overcoming the comprehensive bottlenecks of traditional solutions in terms of analytical accuracy, response speed, execution automation, and system scalability.

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