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CN-122025023-A - Medicine and food homologous functional food composition based on traditional Chinese medicine physique identification, preparation method thereof and personalized adaptation system

CN122025023ACN 122025023 ACN122025023 ACN 122025023ACN-122025023-A

Abstract

The invention discloses a medicine-food homologous functional food composition based on traditional Chinese medicine physique identification, a preparation method thereof and a personalized adaptation system, and belongs to the technical field of functional foods and accurate nutrition. The invention completes the constitution identification of traditional Chinese medicine by multi-mode health data acquisition and combining ResNet-50, a transducer encoder and a cross-mode attention mechanism, matches personalized formulas based on constitution-food-efficacy knowledge patterns, prepares food by adopting standardized processes of low-temperature vacuum drying, superfine grinding, quantitative forming and slow-release coating, and the personalized adaptation system comprises data acquisition and identification, formula matching and production instruction generation and flexible production control modules, configures block chain tracing nodes and supports the transformation of the same production line for <15 minutes. The invention realizes accurate constitution identification, personalized formula matching, nutrition retention rate improvement and full-flow closed-loop service, and solves the problems of single formula, rough process, quality control deficiency and the like of the existing product.

Inventors

  • GAN DAYONG

Assignees

  • 君兰慧家政服务(唐山)有限公司

Dates

Publication Date
20260512
Application Date
20260318

Claims (10)

  1. 1. The personalized preparation method of the food with the medicine and food homology function based on the traditional Chinese medicine physique identification is characterized by comprising the following steps of: s1, acquiring multi-mode health data of a user, wherein the multi-mode health data at least comprises tongue images, optionally synchronously acquiring body composition data and structured traditional Chinese medicine physique questionnaire information; S2, extracting depth visual characteristics of the tongue image by adopting ResNet-50 convolutional neural network, extracting time sequence related characteristics of the body composition data and questionnaire information by adopting a transducer encoder, merging the characteristics through a cross-modal attention mechanism, outputting probability distribution of nine Chinese medicine physique, and judging physique with probability more than or equal to 80% as target bias physique; S3, matching a formula of the medicinal and edible raw material composition corresponding to the target-bias constitution based on a built-in constitution-food material-efficacy knowledge graph, wherein the knowledge graph comprises nine constitution conditioning principles and tabu rules, 101 medicinal and edible material efficacy data and active ingredient information, and food material compatibility tabu and synergy rules; S4, preparing the functional food with homology of medicine and food by adopting a low-temperature vacuum drying, superfine grinding, quantitative forming and slow-release coating process, wherein the low-temperature vacuum drying parameter is 50-60 ℃, the vacuum degree is less than or equal to-0.08 MPa, the drying time is 10-14 hours, the water content of the raw materials is reduced to less than or equal to 7%, the superfine grinding parameter is 300-500 meshes, the particle size of the raw materials is 25-50 mu m, the cell wall breaking rate is more than or equal to 95%, the quantitative forming is 50+/-5 kilocalories of standard units, the slow-release coating adopts a resistant dextrin coating, and the coating thickness is 0.1-0.3mm.
  2. 2. The personalized preparation method according to claim 1, wherein in the step S4, the parameters of low-temperature vacuum drying are 55 ℃ and the vacuum degree is-0.09 MPa, the water content of the raw materials is reduced to about 6 percent after drying for 12 hours, the raw materials are crushed into 400 meshes in an ultrafine way, the cell wall breaking rate is more than or equal to 96 percent, the raw materials are quantitatively molded into standard units of 50+/-2 kilocalories, and the slow-release coating thickness is 0.2mm.
  3. 3. The personalized preparation method according to claim 1, wherein the "constitution-food-efficacy" knowledge maps set up corresponding core conditioning formulas for nine kinds of deviated constitutions of the traditional Chinese medicine, respectively.
  4. 4. The pharmaceutical and edible functional food composition based on the identification of the physique of traditional Chinese medicine is characterized in that the pharmaceutical and edible functional food composition is prepared by the personalized preparation method of any one of claims 1-3, and is a resistant dextrin slow release coating aiming at specific physique of nine physiques, wherein the personalized formula comprises baked cakes, meal replacement bars or brewing powder, the single energy unit is 50+/-5 kilocalories, the water content is less than or equal to 7%, the cell wall breaking rate is more than or equal to 95%, and the surface coverage thickness is 0.1-0.3 mm.
  5. 5. The functional food composition of claim 4, wherein the composition is in the form of a baked cake with a pachyman retention of 90% or more and a coix seed ester retention of 88% or more.
  6. 6. A personalized adaptation system based on recognition of physique of traditional Chinese medicine, comprising: The data acquisition and identification module acquires multi-modal health data of a user by means of a multi-modal health data acquisition terminal, wherein the multi-modal health data acquisition terminal comprises a user terminal, a mobile phone APP and an intelligent body fat scale; the formula matching and production instruction generation module is used for matching the formula of the medicinal and edible raw material composition corresponding to the target-bias physique based on the 'physique-food material-efficacy' knowledge graph and generating a production instruction; The flexible production control module is used for controlling the operation of the low-temperature vacuum drying equipment, the superfine grinding equipment, the quantitative forming equipment and the slow-release coating equipment and supporting the completion of the change of the different formulas in the same production line for 15 minutes; The block chain tracing node is used for carrying out whole-course uplink evidence on raw material sources, production process parameters, batch information and cold chain logistics.
  7. 7. The personalized adaptation system of claim 6, wherein the flexible production control module supports mixed line production of greater than or equal to 1000 different formulations on the same production line.
  8. 8. The personalized adaptation system according to claim 6, wherein the production process parameters recorded by the blockchain tracing node at least comprise temperature and time of low-temperature vacuum drying, mesh number of superfine grinding, single energy value of quantitative forming and thickness of slow release coating.
  9. 9. The use of the food composition with homology of medicine and food in preparing physique conditioning food according to claim 4 or 5, which is characterized in that the food composition is used for conditioning specific physique in nine types of biased physique in traditional Chinese medicine, and average weight of target physique crowd is reduced by 2-4kg, fasting blood glucose is reduced by 0.8-1.5mmol/L and symptom improvement rate is more than or equal to 90% by eating 1-3 standard units daily for 8 weeks continuously.
  10. 10. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, implements the steps of the personalized preparation method of food-homologous functional foods based on recognition of physique in traditional Chinese medicine according to any one of claims 1 to 3.

Description

Medicine and food homologous functional food composition based on traditional Chinese medicine physique identification, preparation method thereof and personalized adaptation system Technical Field The invention belongs to the technical field of functional foods and accurate nutrition, and particularly relates to a system and a method for carrying out personalized identification based on a traditional Chinese medicine physique theory through multi-mode data fusion and matching a specific medicinal and edible formula composition and a standardized preparation process thereof, and a corresponding medicinal and edible functional food composition and a computer-readable storage medium. Background The existing medicine and food homologous products have a plurality of urgent problems to be solved, namely, 1, a single formula, lack of accurate adaptation, mostly a general formula, no matching of nine physique differences of traditional Chinese medicine, incapability of realizing ' one person ' and weak pertinence of conditioning effects, 2, a rough process, serious nutrition loss, easiness in destroying thermosensitive active ingredients by traditional processing and processing methods, low retention rate of active ingredients, insufficient bioavailability, 3, lack of quality control, difficulty in industrialization, lack of standardized quantitative formulas, technological parameters and quality control systems, difficulty in stable batch production, large fluctuation of product effects, 4, diagnosis and intervention disjoint, physique identification and food recommendation separation, no formation of a closed loop system of ' data acquisition-intelligent analysis-formula generation-flexible production ', and incapability of obtaining full-flow personalized services by users, 5, difficulty in combining individuation and industrialization, and incapability of realizing ' one person ' and one person ' personalized customization. Disclosure of Invention 1. The invention aims to solve the technical problems that the existing medicine and food homologous product formula lacks accuracy, the process causes large nutrition loss, quality control loss is difficult to industrialize, diagnosis and intervention are disjointed, individuation and industrialization are difficult to consider, and provides a medicine and food homologous functional food composition capable of realizing accurate physique identification, individuation formula matching, standardized preparation and full-flow closed-loop service, a preparation method thereof and an individuation adaptation system. 2. The personalized preparation method comprises the following steps of 1, acquiring multi-mode health data of a user, at least comprising tongue images, optional synchronous body component data and structured traditional Chinese medicine physique questionnaire information, S2, extracting tongue image depth visual characteristics by adopting ResNet-50 convolutional neural networks, extracting body component data and questionnaire information time sequence correlation characteristics by a transducer encoder, outputting nine traditional Chinese medicine physique probability distributions through cross-mode attention mechanism fusion, judging that the probability is more than or equal to 80%, and S3, based on built-in food material efficacy data and active ingredient information which comprise nine physique conditioning principles and tabu rules and 101 medicine and food homology Matching the constitution-food-efficacy knowledge graph of the food material incompatibility and the synergetic rule with the formula of the corresponding medicinal and edible raw material composition, and adopting a low-temperature vacuum drying (50-60 ℃ and the vacuum degree is less than or equal to-0.08 MPa, drying for 10-14 hours, the water content is reduced to less than or equal to 7%), superfine grinding (300-500 meshes, the particle size is 25-50 mu m, the cell wall breaking rate is more than or equal to 95%), quantitative forming (50+/-5 large calorie standard units) and slow-release coating (resistant dextrin coating, and the thickness is 0.1-0.3 mm) to prepare the food. 2. the personalized adaptation system comprises a data acquisition and identification module, a formula matching and production instruction generation module and a flexible production control module, wherein the data acquisition and identification module acquires user multi-modal health data by means of a multi-modal health data acquisition terminal (user terminal, mobile phone APP and intelligent body fat scale), and completes physique identification by means of a ResNet-50 convolutional neural network, a Transformer encoder and a cross-modal attention mechanism model, the formula matching and production instruction generation module matches a formula and generates a production instruction based on a physique-food-efficacy knowledge map, and the flexible production control module controls low-temperatur