Multi-dimensional health care data and dynamic weighted evaluation system and processing method of food-medicine homology system

Abstract

The application discloses a multi-dimensional health-care data and a dynamic weighted evaluation system and a processing method of a dietotherapy system. The system is composed of a multi-source data acquisition module, a data cleaning and normalization module, a five-dimensional quantitative evaluation operation module, an Emei Mountain dietotherapy scheme intelligent matching module, a whole-cycle data monitoring module, a dynamic algorithm iteration optimization module and an encryption storage module, and collaboratively operates with the aid of intelligent sensing hardware, mobile terminals and cloud servers. The application is an extension and system support of the digitization and intelligentization of Emei Mountain dietotherapy patents, solves technical problems such as generalization of a traditional health-care system model, non-uniform data standards, non-self-adaptive parameters, high artificial dependence, lack of algorithm support for regional dietotherapy matching and the like, has strong technology landing, can be widely carried on various intelligent terminals and forms a complete health-care scheme of'regional resources + traditional Chinese medicine theory + intelligent algorithm + individualized conditioning'.

Description

Technical Field

[0001] This invention belongs to the fields of computer big data processing, intelligent terminal sensing data interaction, traditional Chinese medicine health care and the field of food and medicine homology in the Emei Mountain region. Specifically, it involves a multi-source heterogeneous data fusion, weighted evaluation, dynamic parameter iteration and regionalized intelligent matching system and method for food and medicine that is in line with the patent of Emei Mountain medicinal diet, integrates the theory of harmony between man and nature and food and medicine homology in traditional Chinese medicine, and links the authentic medicinal and food resources of Emei Mountain. Background Technology

[0002] There is a significant disconnect between existing smart health and wellness systems and regional medicinal cuisine systems, lacking deep integration between digital algorithms and regional resources. 1. Fragmented theoretical system: Most health and wellness algorithms only perform general health scoring and do not combine the traditional Chinese medicine concept of "harmony between man and nature" with the regional climate of Emei Mountain, which is characterized by spring dampness, summer heat, autumn dryness, and winter cold, as well as its local medicinal and food resources, thus failing to form a unified health and wellness system.

[0003] 2. Lack of algorithm support: The existing Emeishan medicinal cuisine patent has built a system of 24 authentic ingredients and seven series of seasonal medicinal cuisines, but it lacks digital assessment models, constitution identification algorithms and dynamic matching mechanisms, making it difficult to achieve personalized and accurate push and closed-loop optimization.

[0004] 3. Data and resources are disconnected: Health and wellness data (physical condition, diet, sleep, exercise, mood, environment) are not algorithmically linked to the Emei Mountain medicinal food formula, making it impossible to dynamically adjust the medicinal diet plan according to the user's real-time status and seasonal changes.

[0005] 4. Significant technological gaps: There are no publicly available solutions yet. This technology system is consistent with the patents of Emei Mountain medicinal cuisine, based on a five-dimensional model, integrates regional data of Emei Mountain, and realizes a full-chain technology system for dynamic weighted evaluation and intelligent matching of medicinal cuisine. Summary of the Invention

[0006] Purpose of the invention This invention, as a digital extension and system support of the Emeishan medicinal cuisine patent, aims to connect the technical links of "regional medicinal and food resources - traditional Chinese medicine health and wellness theory - intelligent algorithm evaluation - personalized medicinal cuisine matching"; it overcomes the shortcomings of existing technologies such as insufficient integration of theories, low data quantification accuracy, disconnect between algorithms and regional resources, and lack of dynamic adaptability in medicinal cuisine matching. It provides a system and method that is consistent with the Emeishan medicinal cuisine patent, integrates the theory of harmony between man and nature and the theory of food and medicine sharing the same origin, and links the dynamic weighted evaluation, algorithm iteration and intelligent medicinal cuisine matching system of authentic Emeishan medicinal and food resources, forming a complete closed-loop Emeishan regional health and wellness technology system.

[0007] This invention is implemented as follows: a dynamic weighted evaluation system for multidimensional health and wellness data and a food-medicine homology system, characterized by comprising: Multi-source data acquisition module: Connects to smart sensing devices and mobile terminals to collect multi-dimensional health and wellness raw data on physical condition, diet, sleep, exercise, emotions, and the Emei Mountain environment, and performs preprocessing such as format verification, anomaly removal, and missing data completion; Data cleaning and normalization module: Built-in linear normalization formula to uniformly convert multidimensional heterogeneous data of different dimensions into standard data in the range of 0~100; Five-dimensional quantitative assessment and calculation module: It has a built-in five-dimensional weighted calculation model, which configures independent weights, health thresholds and risk judgment rules for five dimensions: physical condition, diet, sleep, exercise and mood. It performs weighted calculations on standard data and automatically generates digital assessment results. Emeishan Food and Medicine Homology Solution Intelligent Matching Module: Built-in tagged health and wellness strategy library, Emeishan 24 authentic medicinal and food ingredients recipe library and retrieval algorithm consistent with the prior Emeishan medicinal diet patent, generates parameterized health and wellness + Emeishan medicinal diet conditioning solution based on evaluation results; Full-cycle data monitoring module: continuously collects user health and wellness implementation, status feedback, Emei Mountain environmental time series, and medicinal diet feedback data to build a time series database; Dynamic algorithm iterative optimization module: retrieves time-series data at preset 7-day / 30-day cycles, automatically corrects the weights, thresholds, and matching parameters of the five-dimensional model and the Emei Mountain medicinal diet plan, and achieves dynamic optimization; Encrypted storage module: It adopts local + cloud encrypted storage to archive user health and wellness data, calculation results, and solution data.

[0008] According to the system of the present invention, the comprehensive score calculation formula of the five-dimensional weighted operation model is: S=∑(i=1~5)wi·X'i, where wi is the weight coefficient of each dimension and X'i is the normalized standard data.

[0009] The system according to claim 1 is characterized in that: the linear normalization formula of the data cleaning and normalization module is: X'=(X-Xmin) / (Xmax-Xmin)×100, where X is the original data, and Xmax and Xmin are the extreme values ​​of the corresponding dimension data.

[0010] According to the system of the present invention, the feature is that the intelligent matching module of the medicine and food homology scheme adopts 24 kinds of authentic medicinal and food raw materials that are consistent with the prior medicinal diet patent, and constructs seven series of medicinal diet formulas: moisturizing the lungs and relieving dryness, strengthening the spleen and replenishing deficiency, clearing heat and removing dampness and relieving summer heat, warming yang and regulating qi and dispelling cold, calming the liver and soothing the mind and lowering blood pressure, cleansing the intestines, lowering lipids and reducing weight, and home-style mountain delicacies quick and easy dishes.

[0011] The system according to the present invention is characterized in that: the iteration cycle of the dynamic algorithm iteration optimization module is configured to be 7 days or 30 days, and the model parameters are automatically corrected based on the improvement of user data, execution completion rate and medicinal diet feedback effect.

[0012] A multi-source data intelligent processing method based on the above system is characterized by the following steps: S1, automated collection and preprocessing of multi-source data; S2, data normalization and standardization calculation; S3, weighted quantitative evaluation of five-dimensional model; S4, intelligent matching of food and medicine homology solutions to generate exclusive health and wellness + medicinal diet solutions; S5, dynamic monitoring of full-cycle time-series data; S6, after reaching the preset iteration cycle, completing the iterative optimization of model parameters to form a fully closed-loop automated process.

[0013] According to the method described in this invention, the entire process of data acquisition, calculation, evaluation, matching, and iteration is automatically completed by computer programs and intelligent hardware in collaboration, without the intervention of human subjective experience judgment.

[0014] Guided by the holistic view of "harmony between man and nature" in traditional Chinese medicine, this invention integrates the authentic medicinal and edible resources of Mount Emei with the seasonal medicinal diet system to construct a five-dimensional weighted calculation model of constitution, diet, sleep, exercise, and emotions, so as to realize dynamic evaluation of health and wellness data, constitution identification and intelligent matching of Mount Emei medicinal and edible solutions.

[0015] Core technological innovations: 1. Shared Heritage: The Regional Health and Wellness System is Linked by Two Patents. This invention and the prior medicinal diet patent share the same inventor, the same regional health and wellness positioning, and the same TCM theoretical foundation. The former is the content side (formula, process), while this invention is the system side (algorithm, evaluation, matching, iteration). They support each other and are linked in a consistent manner, constructing a complete technical closed loop of "resources + algorithm + solution".

[0016] 2. Theoretical Integration: Driven by the dual principles of "harmony between man and nature" and "medicine and food sharing the same origin," this approach uses the traditional Chinese medicine concept of "harmony between man and nature" as its top-level logic. It incorporates regional climate (seasonal changes), the properties of authentic medicinal foods, and the body's constitution into a unified algorithm model. It deeply integrates 24 authentic ingredients from existing patented medicinal cuisine recipes and seven major series of medicinal cuisine systems, achieving a synergistic adaptation of "natural environment—body condition—regional medicinal foods." A customized five-dimensional weighted calculation model independently designs five dimensions: constitution, diet, sleep, exercise, and emotions. Each dimension is configured with independent weights, thresholds, and risk assessment rules. The model parameters are customized based on regional climate characteristics and the efficacy patterns of authentic ingredients, adapting to the sub-health constitution of the Sichuan-Chongqing population and achieving precise regional assessment.

[0017] 3. Dynamic Iteration: Data-driven intelligent adaptation of medicinal diets is preset with 7-day and 30-day iteration cycles. Based on the user's full-cycle data (changes in physical condition, environmental fluctuations, and feedback on medicinal diet execution), it automatically corrects the model weights, thresholds, and medicinal diet formula matching priorities. No manual intervention is required, realizing bidirectional self-optimization between the algorithm model and regional medicinal diet solutions.

[0018] 4. Full-chain digitalization: The intelligent upgrade of the food-medicine homology system relies on a software and hardware collaborative architecture. It will digitize and algorithmize the formula system, preparation process, and efficacy matching logic of the existing medicinal diet patents; and automate the entire process of data collection, evaluation and analysis, medicinal diet matching, and iterative optimization, so as to promote the upgrade of regional health care from "experience-based" to "digital and intelligent". Detailed Implementation

[0019] 1. A dynamic weighted assessment system integrating multi-dimensional health and wellness data is integrated into smartphones, smart health and wellness sensing devices, and a cloud platform. It includes seven core modules, with software and hardware working together and programs operating in synergy. (1) The multi-source data acquisition module connects to the mobile terminal interface, human body vital signs sensor, environmental temperature and humidity sensor, and sleep monitoring equipment to collect multi-dimensional raw data in a standardized manner: human body data: basic vital signs, physical characteristics, sleep rhythm, exercise frequency and intensity, emotional state; dietary data: daily diet sequence, food intake, and medicinal diet execution record; environmental data: regional seasonal climate, temperature and humidity, and environmental time sequence changes; the module has built-in format verification, anomaly removal, and neighbor value missing completion logic, and pushes compliant data to the next module after initial screening and preprocessing.

[0020] (2) The data cleaning and normalization module has a built-in linear normalization formula to unify the dimensions of multi-source heterogeneous data: X'=(X-Xmin) / (Xmax-Xmin)×100, where X is the original data, Xmax and Xmin are the preset extreme values ​​of the corresponding dimensions, and X' is the standard data in the range of 0~100; adapting to the characteristics of regional health care data and eliminating the calculation error of heterogeneous data.

[0021] (3) The five-dimensional quantitative assessment and calculation module (core algorithm module) has a built-in five-dimensional weighted calculation model, with a preset initial weight set of five dimensions W={w1,w2,w3,w4,w5}, multi-level health thresholds, risk level rules, and treatment priority algorithm. The weighted summation formula is: S=∑(i=1~5)wi·X'i, where S is the comprehensive health and wellness quantitative score, wi is the weight of each dimension, and X'i is the normalized standard data; it automatically outputs: comprehensive score, dimension shortcomings, potential health risk level, and treatment priority sequence, generating a digital assessment report without manual judgment throughout the process.

[0022] (4) The intelligent matching module for the medicine and food homology scheme has a built-in tagged health and wellness strategy database + medicinal diet formula library (consistent with the prior medicinal diet patent formula system) and Boolean retrieval matching algorithm, which is associated with the five-dimensional evaluation results: Strategy library: dietary conditioning, exercise rhythm, work and rest norms, emotional regulation, and traditional health and wellness techniques parameters; Medicinal diet library: uses 24 kinds of authentic medicinal and food raw materials from the prior patent, covering seven series of original formulas: moisturizing the lungs and clearing dryness, strengthening the spleen and replenishing deficiency, clearing heat and removing dampness and relieving summer heat, warming yang and regulating qi and dispelling cold, calming the liver and calming the mind and lowering blood pressure, clearing the intestines, lowering lipids and reducing weight, and home-style mountain delicacies and quick dishes; Automatic matching: based on the dimension score, risk level, physical characteristics, and regional seasonal environment, it generates differentiated, customized and parameterized health and wellness + medicinal diet implementation plan to achieve regionalized precise conditioning.

[0023] (5) The full-cycle data monitoring module collects data in real time on users’ daily health care check-in, physical condition feedback, regional environmental time-series changes, and medicinal diet feedback. It classifies, stores, compares, and marks deviations to build a personal health care time-series database, providing continuous data support for model iteration.

[0024] (6) Dynamic algorithm iteration optimization module (core innovation module) supports 7-day and 30-day iteration cycles. After the cycle ends, time series data is automatically retrieved to analyze the improvement of dimensions, the deviation of scheme adaptation, the execution completion rate, and the feedback effect of medicinal diet. Correction: weight coefficient of five-dimensional model, health threshold range; health care scheme matching parameters, medicinal diet formula priority; realize bidirectional dynamic iteration optimization of algorithm model and regional medicinal diet scheme, and continuously improve the adaptation accuracy.

[0025] (7) The encrypted storage module adopts a dual storage mechanism of local caching + cloud encryption to encrypt and archive user health care data, calculation results, plan data, and medicinal diet records to prevent loss and leakage, and to build a personal digital health care archive.

[0026] 2. The intelligent personalized health conditioning data processing method is fully automated, without human judgment. The steps are as follows: S1 Automated collection and preprocessing of multi-source data: Terminals and sensing devices collect multi-dimensional raw data, and preprocess it through verification, anomaly removal, and missing data completion to output a compliant dataset; S2 Data normalization and standardization calculation: Linear normalization formula is used to unify the dimensions and generate a standard data sequence in the range of 0~100; S3 Five-dimensional model weighted quantitative evaluation: Five-dimensional weighted model calculation is used to generate a comprehensive score, dimensional shortcomings, risk level, and conditioning priority; S4 Intelligent matching of medicine and food homology solutions: Boolean search matching algorithm is used to retrieve health care strategies and prior patented medicinal diet formulas to generate a customized health care + medicinal diet solution; S5 Dynamic monitoring of full-cycle time-series data: Execution data, status feedback, regional environmental changes, and medicinal diet feedback data are continuously collected, and time-series data is accumulated and deviations are marked; S6 Periodic algorithm iteration and scheme optimization: After reaching the preset period, review the time series data, iteratively correct the model weights, thresholds and medicinal diet matching parameters, and complete the closed-loop intelligent optimization.

[0027] Beneficial effects of the invention

[0028] 1. Systematic Value: Constructing a Complete Regional Health and Wellness Technology Closed Loop. This invention is consistent with and complements the prior medicinal diet patent, forming a complete regional health and wellness technology system of "regional resources (formula patent) - intelligent algorithm (this patent) - personalized solution - closed loop optimization", thereby enhancing the core competitiveness of regional health and wellness brands.

[0029] 2. Dual innovation in theory and technology: For the first time, the concept of "harmony between man and nature" in traditional Chinese medicine, regional climate characteristics, and the system of authentic medicinal food homology are deeply integrated into big data algorithms to construct a regionalized five-dimensional dynamic evaluation model, achieving both theoretical innovation and technological breakthroughs.

[0030] 3. Intelligent Upgrade of Regional Medicinal Cuisine: Provide algorithmic support, data-driven, dynamic matching, and closed-loop optimization capabilities for existing medicinal cuisine patents, solve the problems of traditional medicinal cuisine relying on experience, fixed matching, and lack of personalization, and promote the upgrade of regional medicinal cuisine from "formula" to "intelligent service".

[0031] 4. Significant industrial application value: The software and hardware collaborative architecture can be installed on various smart terminals, the algorithm can be solidified, and the program can be ported; the medicinal diet program process is standardized, reproducible, and can be used at home, which has the value of large-scale implementation, integration of culture, tourism and health care, and inheritance of regional Chinese medicine culture.

[0032] 5. Core guarantee of authorization compliance: The protected objects are system architecture, data processing algorithms, weighted models, dynamic iteration logic, and intelligent matching mechanism of medicinal diet, not just simple formulas or artificial conditioning methods, which meet the requirements of the subject matter of invention patent authorization; it is different from the prior medicinal diet patent in terms of technical field and scope of protection, and does not constitute duplicate authorization.

[0033] The following detailed description of the embodiments of the present invention provides a clear and complete overview of the technical solutions described in the embodiments. Obviously, the described embodiments are merely some, not all, of the embodiments of the present invention. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0034] Example 1: This invention provides a dynamic weighted evaluation system for multidimensional health and wellness data and the food-medicine homology system, comprising: a multi-source data acquisition module: connecting to intelligent sensing devices and mobile terminals to collect multidimensional health and wellness raw data on constitution, diet, sleep, exercise, emotions, and regional environment, and performing preprocessing such as format verification, anomaly removal, and missing data completion; a data cleaning and normalization module: containing a built-in linear normalization formula to uniformly convert multidimensional heterogeneous data of different dimensions into standard data in the range of 0~100; a five-dimensional quantitative evaluation and calculation module: containing a built-in five-dimensional weighted calculation model, configuring independent weights, health thresholds, and risk judgment rules for the five dimensions of constitution, diet, sleep, exercise, and emotions, performing weighted calculations on the standard data, and automatically generating digital evaluation results; and a food-medicine homology solution intelligent matching module: containing a built-in tagged health and wellness strategy library and 24 [unclear] consistent with prior medicinal diet patents. The system includes a database and retrieval algorithm for medicinal food ingredients and recipes, which generates parameterized health and wellness + medicinal diet conditioning plans based on evaluation results; a full-cycle data monitoring module that continuously collects user health and wellness implementation, status feedback, regional environmental time series, and medicinal diet feedback data to build a time series database; a dynamic algorithm iteration and optimization module that retrieves time series data at preset 7-day / 30-day cycles, automatically corrects the weights, thresholds, and medicinal diet plan matching parameters of the five-dimensional model to achieve dynamic optimization; and an encrypted storage module that uses local + cloud encrypted storage to archive user health and wellness data, calculation results, and plan data.

[0035] The system described in Example 1 is characterized in that: the comprehensive score calculation formula of the five-dimensional weighted operation model is: S=∑(i=1~5)wi·X'i, where wi is the weight coefficient of each dimension and X'i is the normalized standard data.

[0036] The system described in Example 1 is characterized in that: the linear normalization formula of the data cleaning and normalization module is: X'=(X-Xmin) / (Xmax-Xmin)×100, where X is the original data, and Xmax and Xmin are the extreme values ​​of the corresponding dimension data.

[0037] The system described in Example 1 is characterized in that: the Emei Mountain medicinal food homology scheme intelligent matching module adopts 24 kinds of authentic medicinal food raw materials from Emei Mountain that are consistent with the prior Emei Mountain medicinal diet patent, and constructs seven series of medicinal diet formulas: moisturizing the lungs and relieving dryness, strengthening the spleen and replenishing deficiency, clearing heat and removing dampness and relieving summer heat, warming yang and regulating qi and dispelling cold, calming the liver and soothing the mind and lowering blood pressure, cleansing the intestines, lowering lipids and reducing weight, and home-style mountain delicacies quick and easy dishes.

[0038] The system described in Example 1 is characterized in that: the iteration cycle of the dynamic algorithm iteration optimization module is configured to be 7 days or 30 days, and the model parameters are automatically corrected based on the improvement of user data, execution completion rate and feedback effect of Emeishan medicinal diet.

[0039] Example 2: This invention provides a multi-source data intelligent processing method based on the above system, comprising the following steps: S1. Automated acquisition and preprocessing of multi-source data; S2, Data normalization and standardization operations; S3, Five-dimensional model weighted quantitative evaluation; S4, Emei Mountain's food and medicine homology solution intelligently matches and generates a personalized health and wellness + Emei Mountain medicinal diet solution; S5. Dynamic monitoring of full-cycle time-series data; S6. After reaching the preset iteration cycle, complete the iterative optimization of model parameters to form a fully closed-loop automated process.

[0040] The method described herein involves the entire process of data acquisition, processing, evaluation, matching, and iteration being completed automatically by computer programs and intelligent hardware, without the intervention of human subjective experience judgment.

[0041] The system is characterized by its deployment on mobile terminals, vital sign sensors, and a cloud server in a collaborative architecture, and its practical verification using user samples from Emeishan and other regions with different physical conditions and lifestyles. 1. Data Acquisition and Preprocessing: Sensors and terminals collect raw data on physical condition, diet, sleep, exercise, mood, and the environment of Mount Emei at a certain frequency. The data is then preprocessed by removing anomalies and filling in missing data. 2. Data normalization: Use the linear normalization formula to convert the data into standard data in the range of 0~100; 3. Five-dimensional model evaluation: Run the weighted model, combine preset weights and thresholds, and automatically calculate the comprehensive score, risk level, and weakness indicators; 4. Matching Emei Mountain medicinal cuisine recipes: Through tag retrieval algorithms, match the 24 authentic Emei Mountain ingredient medicinal cuisine recipes with prior patents, and push customized health and wellness + medicinal cuisine recipes. 5. Full-cycle monitoring: As users execute the plan and provide feedback, the system continuously collects and stores time-series data; 6. Dynamic Iterative Optimization: After a 7-day / 30-day cycle, the iterative module calculates data deviations, corrects model weights, thresholds, and medicinal diet matching parameters, and completes closed-loop optimization.

[0042] Practical verification shows that the system is automatically completed by computer programs and intelligent hardware, without the need for subjective human judgment; it is accurate in calculation, highly adaptable to regional medicinal cuisine, safe and edible, and has good technical feasibility and reusability, forming an effective technical linkage with the prior Emeishan medicinal cuisine patent.

[0043] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A dynamic weighted evaluation system for multidimensional health and wellness data and a food-medicine homology system, characterized in that, include: Multi-source data acquisition module: Connects to smart sensing devices and mobile terminals to collect multi-dimensional health and wellness raw data on physical condition, diet, sleep, exercise, emotions, and the Emei Mountain environment, and performs preprocessing such as format verification, anomaly removal, and missing data completion; Data cleaning and normalization module: Built-in linear normalization formula to uniformly convert multidimensional heterogeneous data of different dimensions into standard data in the range of 0~100; Five-dimensional quantitative assessment and calculation module: It has a built-in five-dimensional weighted calculation model, which configures independent weights, health thresholds and risk judgment rules for five dimensions: physical condition, diet, sleep, exercise and mood. It performs weighted calculations on standard data and automatically generates digital assessment results. Emeishan Food and Medicine Homogenization Solution Intelligent Matching Module: Built-in tagged health and wellness strategy library, Emeishan 24 authentic medicinal and food ingredients recipe library and retrieval algorithm consistent with the prior Emeishan medicinal diet patent, generates parameterized health and wellness + Emeishan medicinal diet conditioning solution based on evaluation results; Full-cycle data monitoring module: continuously collects user health and wellness implementation, status feedback, Emei Mountain environmental time series, and medicinal diet feedback data to build a time series database; Dynamic algorithm iterative optimization module: retrieves time series data according to a preset cycle of 7 days / 30 days, automatically corrects the weights, thresholds and matching parameters of the five-dimensional model and the Emei Mountain medicinal diet plan, and achieves dynamic optimization; Encrypted storage module: It adopts local + cloud encrypted storage to archive user health and wellness data, calculation results, and solution data.

2. The system according to claim 1, characterized in that: The formula for calculating the comprehensive score of the five-dimensional weighted operation model is: S=∑(i=1 to 5) wi*X'i, where wi is the weight coefficient of each dimension and X'i is the normalized standard data.

3. The system according to claim 1, characterized in that: The linear normalization formula for the data cleaning and normalization module is: X'=(X-Xmin) / (Xmax-Xmin)×100, where X is the original data and Xmax and Xmin are the extreme values ​​of the corresponding dimensions.

4. The system according to claim 1, characterized in that: The Emeishan Food and Medicine Homology Solution Intelligent Matching Module uses 24 authentic medicinal and food ingredients from Emeishan that are consistent with the prior Emeishan medicinal diet patent, and constructs seven series of medicinal diet formulas: moisturizing the lungs and relieving dryness, strengthening the spleen and replenishing deficiency, clearing heat and removing dampness and relieving summer heat, warming yang and regulating qi and dispelling cold, calming the liver and soothing the mind and lowering blood pressure, cleansing the intestines, lowering lipids and reducing weight, and home-style mountain delicacies quick and easy dishes.

5. The system according to claim 1, characterized in that: The dynamic algorithm iteration optimization module has an iteration cycle of 7 days or 30 days, and automatically adjusts the model parameters based on the improvement of user data, execution completion rate, and feedback effect of Emeishan medicinal diet.

6. A processing method based on the system of claim 1, characterized in that, Includes the following steps: S1. Automated acquisition and preprocessing of multi-source data; S2, Data normalization and standardization operations; S3, Five-dimensional model weighted quantitative evaluation; S4, Emei Mountain's food and medicine homology solution intelligently matches and generates a personalized health and wellness + Emei Mountain medicinal diet solution; S5. Dynamic monitoring of full-cycle time-series data; S6. After reaching the preset iteration cycle, complete the iterative optimization of model parameters to form a fully closed-loop automated process.

7. The processing method according to claim 6, characterized in that: The entire process of data collection, processing, evaluation, matching, and iteration is automatically completed by computer programs and smart hardware in collaboration, without the intervention of human subjective experience judgment.