Five-dimensional assessment and seven-dimensional intervention advanced position personalized panoramic health management system

Abstract

This invention relates to an advanced personalized panoramic health management system based on five-dimensional assessment and seven-dimensional intervention, belonging to the field of health management technology. The system includes a five-dimensional assessment module for collecting data on physical condition, function, genetics, behavior, and environment, performing multimodal fusion analysis to construct a health digital twin, and outputting a comprehensive health profile and risk warning; a seven-dimensional intervention module connected to the five-dimensional assessment module for generating a seven-dimensional intervention plan based on the comprehensive health profile, including nine aspects of health maintenance, cell reserve, intelligent physiotherapy, environmental optimization, psychological counseling, digital therapy, and a wearable closed-loop system; a multi-scenario service module for providing customized services for individuals, families, and groups; and a dynamic iteration module for dynamically optimizing the intervention plan based on real-time monitoring data and reassessment results. This invention achieves health risk warnings 3-5 years earlier than traditional physical examinations through five-dimensional fusion assessment, improves physical condition by over 35% through seven-dimensional collaborative intervention, and dynamically adapts the plan to the user's status through wearable closed-loop iteration, achieving full-scenario coverage for individuals, families, and groups, with a renewal rate of 92%.

Description

Technical Field

[0001] This invention relates to the field of health management technology, specifically to an advanced personalized panoramic health management system that combines five-dimensional assessment and seven-dimensional intervention. Background Technology

[0002] With the increasing sophistication and personalization of health management needs, single-dimensional health assessments and fragmented intervention methods are no longer sufficient to meet users' needs for full-life-cycle health management. Currently, health management systems on the market are mainly divided into three categories: The first category is traditional Chinese medicine (TCM) health management systems, which primarily rely on constitution questionnaires or tongue diagnosis images to identify nine constitution types and provide general suggestions on diet and exercise based on the principle of "tailored treatment according to individual, time, and place," such as the AI-based syndrome differentiation and treatment model system disclosed in patent application CN120878248A. The second category is health assessment systems based on detection data, which collect physiological indicators through micro-impedance analysis, body composition analysis, or wearable devices, outputting cell function maps or behavioral pattern reports. However, these systems are usually limited to a single technological path and have not achieved deep integration with TCM constitution theory. The third category is personalized health management platforms, which provide health advice, check-in tasks, and online consultations through mobile applications. However, their intervention plans are mostly based on template-based pushes with preset rule bases, lacking the ability to dynamically respond to real-time changes in the user's status.

[0003] However, the aforementioned existing technologies have the following limitations: First, the assessment dimensions are relatively singular. Existing TCM systems lack functional medicine data support, and detection systems do not incorporate TCM constitution identification and genetic risk assessment. A complete assessment system integrating constitution, function, genetics, behavior, and environment has not yet been formed, making it difficult to construct a comprehensive health profile for users. Second, intervention methods are relatively limited, mainly focusing on dietary and exercise recommendations or single-session physiotherapy services. They do not integrate multi-dimensional intervention methods such as cell reserve, intelligent physiotherapy, psychological counseling, and digital therapy, lacking the synergistic effect of "current conditioning" and "future reserve." Third, most systems adopt a single-assessment or periodic reassessment model, lacking dynamic feedback and iterative solution mechanisms based on real-time data from wearable devices, failing to achieve closed-loop management of "assessment-intervention-tracking-optimization." Finally, existing technologies mainly focus on personal health management scenarios, failing to achieve a unified service platform covering individuals, families, and groups across all scenarios, making it difficult to meet the differentiated needs of different user groups. Summary of the Invention

[0004] To address the problems of existing technologies, this invention provides an advanced personalized panoramic health management system that integrates five-dimensional assessment and seven-dimensional intervention.

[0005] To solve the above-mentioned technical problems, the present invention is achieved through the following technical solution: Firstly, an advanced personalized panoramic health management system based on five-dimensional assessment and seven-dimensional intervention, comprising: The five-dimensional assessment module is used to collect data on the user's physical constitution, functional function, genetics, behavior, and environment. It performs multimodal fusion analysis on the five-dimensional data to construct a digital health twin of the user and output a comprehensive health profile and risk warning that includes physical constitution score, functional indicators, genetic risk, behavioral patterns, and environmental assessment. The seven-dimensional intervention module, connected to the five-dimensional assessment module, is used to generate a personalized seven-dimensional intervention plan based on the comprehensive health profile and risk warning. The seven-dimensional intervention plan includes nine-body light health advanced intervention, cell reserve intervention, intelligent physiotherapy intervention, environmental optimization intervention, psychological counseling intervention, digital therapy intervention, and wearable closed-loop intervention. A multi-scenario service module, connected to the seven-dimensional intervention module, is used to provide customized service interfaces and management functions according to user types, including individual users, family users, and group users. The dynamic iteration module is connected to both the five-dimensional assessment module and the seven-dimensional intervention module, and is used to dynamically optimize and iteratively update the seven-dimensional intervention plan based on real-time monitoring data and periodic review results.

[0006] In one specific implementation of the first aspect, the five-dimensional evaluation module includes: The constitution dimension data collection unit includes an AI tongue diagnosis subunit, an AI face diagnosis subunit, and an intelligent consultation subunit. It is used to collect data from the four diagnostic methods of traditional Chinese medicine, perform nine-type syndrome differentiation, and output nine constitution scores, the main constitution, the secondary constitution, and the dynamic evolution trajectory of the constitution. The functional dimension acquisition unit is connected to the micro-impedance detection device to receive data on 72 functional indicators from 12 major systems throughout the body, generate cell function atlases, and provide early warnings of cardiovascular risk, metabolic risk, neurological risk, immune risk, tumor risk, and fatigue risk. The genetic dimension acquisition unit is used to receive gene testing data, including disease susceptibility gene analysis, drug metabolism gene analysis, nutritional metabolism gene analysis, and exercise response gene analysis, and to construct a genetic risk assessment model in combination with family medical history. The behavioral dimension acquisition unit connects to wearable devices to receive real-time data on heart rate, steps, sleep, and calories, and combines this data with the user's health diary to analyze behavioral patterns. The environmental dimension data collection unit is used to collect data on living and office environments, including air quality, water quality, temperature and humidity, light intensity and noise levels, and to conduct environmental health assessments. The five-dimensional fusion analysis unit is used to extract multimodal features from the data of the physical, functional, genetic, behavioral, and environmental dimensions, and to perform weighted fusion of the multimodal features using an attention mechanism. The fusion is then input into a pre-trained deep learning model to construct the health digital twin.

[0007] In one specific implementation of the first aspect, the seven-dimensional intervention module includes: The Nine-Body Light Nourishment Advanced Intervention Unit, based on the dynamic monarch-minister-assistant-guide rule engine, dynamically adjusts the tea recipes, dietary therapy plans, micro-exercises, acupoint health care and emotional and daily life plans according to changes in body constitution, seasons, health risks and user feedback. The cell reserve intervention unit is used to recommend cell storage types based on the five-dimensional assessment results and family medical history. The cell storage types include umbilical cord stem cells, deciduous tooth stem cells, immune cells and adipose stem cells, and provides cell quality tracking services. The intelligent physiotherapy intervention unit connects to intelligent physiotherapy equipment to provide services such as nine-body fumigation, acupoint moxibustion, traditional Chinese medicine beauty treatments, and neck and shoulder relief. The environmental optimization intervention unit is used to generate optimization suggestions for home environment, office environment, sleep environment and sports environment based on the assessment results of the environmental dimensions. The psychological counseling and intervention unit includes an AI emotion recognition module, a professional psychological counselor matching module, a mindfulness training guidance module, and an emotion diary analysis module. The digital therapy intervention unit includes a cognitive training module, a sleep improvement module, a stress management module, and a behavior modification module, which employs gamification design and biofeedback technology. The wearable closed-loop intervention unit is used to interact with wearable devices in real time to achieve a closed-loop iteration of "data collection, cloud analysis, plan adjustment, execution feedback, and effect evaluation".

[0008] In one specific embodiment of the first aspect, the intelligent physiotherapy intervention unit includes: The AI ​​diagnostic subunit integrates infrared thermal imaging detection, meridian detection, and tongue diagnosis analysis to generate physiotherapy plans. The intelligent execution subunit includes a 6-DOF robotic arm, which is used to automatically locate acupoints and perform moxibustion operations with a positioning accuracy of ±1mm. The intelligent temperature control subunit is used to maintain the treatment temperature accuracy at ±0.5℃; The efficacy evaluation sub-unit is used to generate pre- and post-treatment comparative analyses and suggestions for treatment optimization.

[0009] In one specific implementation of the first aspect, the weight calculation formula of the dynamic monarch-minister-assistant rule engine is as follows: Final score = base weight × seasonal coefficient × risk coefficient × concomitant coefficient; The seasonal coefficients are adjusted according to the following rules: for spring, summer, late summer, autumn, and winter, the weights of liver-soothing herbs are increased by 0.2, heat-clearing herbs by 0.2, dampness-removing herbs by 0.2, lung-moistening herbs by 0.2, and yang-warming herbs by 0.2, respectively. The risk coefficients are adjusted according to the following rules: for low basal metabolic rate, high microcirculation resistance, high inflammation index, low insulin sensitivity, and decreased immune function, the weights of warming yang herbs are increased by 0.2, blood-activating herbs by 0.2, heat-clearing herbs by 0.2, yin-nourishing herbs by 0.2, and qi-tonifying herbs by 0.2.

[0010] In one specific implementation of the first aspect, the dynamic iteration module includes: The real-time data monitoring unit connects to wearable devices in real time to monitor changes in heart rate, sleep, and exercise data, and updates health status daily. The effectiveness evaluation unit is used to generate an effectiveness evaluation report on changes in physical condition, changes in functional indicators, and improvement of symptoms based on quarterly review data. The solution iteration unit is used to automatically optimize the next stage intervention plan based on the effect evaluation report and user feedback. The AI ​​Health Brain Unit integrates deep learning, reinforcement learning, causal inference, time series analysis, and collaborative filtering algorithms for physical condition identification, risk prediction, solution generation, effect evaluation, and personalized recommendations.

[0011] In one specific implementation of the first aspect, the multi-scenario service module includes: The Individual Advanced Membership Unit provides services including five-dimensional assessment, nine-body light health enhancement, intelligent physiotherapy, and cell reserve. It is divided into four service levels: New Sprout Advanced, Green Ear Advanced, Magnificent Tree Advanced, and Premium Forest Advanced. The Family Advanced Membership Unit is designed to support the health management of family members of 2-5 people, providing features such as a family health dashboard, family co-care solutions, parent-child health, and health inheritance functions. The Group Advanced Membership Unit is used to provide enterprises, government agencies, and public institutions with five-dimensional assessments, team health reports, health officer training, health challenges, and executive health privileges.

[0012] Secondly, a progressive personalized panoramic health management method based on five-dimensional assessment and seven-dimensional intervention is applied to the system, characterized by the following steps: Step S1: Collect user's physical condition data, functional data, genetic data, behavioral data, and environmental data through the five-dimensional assessment module; Step S2: Perform multimodal fusion analysis on the five-dimensional data to construct a digital health twin of the user and output a comprehensive health profile and risk warning that includes physical fitness score, functional indicators, genetic risk, behavioral patterns and environmental assessment. Step S3: Based on the comprehensive health profile and risk warning, a personalized seven-dimensional intervention plan is generated through the seven-dimensional intervention module; the seven-dimensional intervention plan includes nine-body light health advanced intervention, cell reserve intervention, intelligent physiotherapy intervention, environmental optimization intervention, psychological counseling intervention, digital therapy intervention and wearable closed-loop intervention; Step S4: Based on user type, provide customized service interfaces and management functions for individuals, families, or groups through multi-scenario service modules; Step S5: Through the dynamic iteration module, the seven-dimensional intervention plan is dynamically optimized and iteratively updated based on real-time monitoring data and periodic review results.

[0013] In one specific implementation of the second aspect, the method for constructing a healthy digital twin in step S2 includes: Feature extraction is performed on the five-dimensional data; An attention mechanism is used to weightedly fuse multimodal features; Input a pre-trained deep learning model to construct a complete health data mapping for the user, forming a dynamically evolving digital health twin; Based on time series analysis and survival analysis models, predict health risks for the next 3-5 years and generate risk warnings.

[0014] In one specific implementation of the second aspect, the method for generating the seven-dimensional intervention plan in step S3 includes: Based on the dynamic monarch-minister-assistant-guide rule engine, the tea recipes and dietary therapy plans are dynamically adjusted according to changes in body constitution scores, seasons, health risks and user feedback. Based on the five-dimensional assessment results and family medical history, we recommend the type and plan of cell storage. The AI ​​diagnostic system generates intelligent physiotherapy plans, which are then precisely applied to acupoints by a robotic arm. Based on the environmental assessment results, generate environmental optimization recommendations; Psychological state assessment is conducted using an AI emotion recognition module to match psychological counseling resources; Based on user behavior data, push digital therapy content including cognitive training, sleep improvement, stress management and behavior correction. By monitoring user feedback in real time through wearable devices, intervention plans can be adjusted.

[0015] The beneficial effects of this invention are as follows: 1. This invention pioneers a five-dimensional fusion assessment system. By collecting five types of heterogeneous data—constitution, function, genetics, behavior, and environment—it employs an attention mechanism for multimodal feature weighted fusion to construct a dynamically evolving digital twin of health. This technical solution overcomes the shortcomings of traditional assessments, such as single-dimensional assessments and fragmented data. It achieves a deep integration of traditional Chinese medicine diagnosis with modern functional medicine, genomics, and behavioral science, enabling the system to provide early warnings of six major health risks—cardiovascular, metabolic, neurological, and immune—3-5 years in advance. The accuracy rate of identifying nine constitution types exceeds 95%, significantly improving the comprehensiveness and foresight of health risk assessment.

[0016] 2. This invention constructs a seven-dimensional collaborative intervention mechanism based on a dynamic monarch-minister-assistant-guide rule engine. It dynamically optimizes tea formula combinations according to constitution evolution, seasonal changes, and real-time health risks; integrates an intelligent physiotherapy system for precise acupoint intervention; and establishes a real-time iterative loop of "data collection, cloud analysis, plan adjustment, execution feedback, and effect evaluation" through a wearable closed-loop intervention unit, enabling the intervention plan to adaptively adjust according to changes in user status. This technical solution addresses the pain points of traditional health management intervention methods being singular and lacking dynamic feedback, achieving a synergistic effect of current conditioning and cell reserve, improving cell quality by 15-20%, and achieving a constitution improvement rate of over 35%, a 40% improvement compared to traditional methods. User check-in rate reaches 85%, and renewal rate reaches 92%. Simultaneously, multi-scenario service modules support full-scenario coverage for individuals, families, and groups, significantly improving the adaptability and service efficiency of the health management system. Attached Figure Description

[0017] Figure 1 This is a schematic diagram of the system framework of the present invention.

[0018] Figure 2 This is a schematic diagram of the five-dimensional evaluation module structure of the present invention.

[0019] Figure 3 This is a schematic diagram of the seven-dimensional intervention module structure of the present invention.

[0020] Figure 4 This is a schematic diagram of the dynamic monarch-minister-adjuvant-guide tea recipe generation process of the present invention.

[0021] Figure 5 This is a schematic diagram of the intelligent physiotherapy system frame of the present invention.

[0022] Figure 6 This is a schematic diagram of the wearable closed-loop iterative flow of the present invention.

[0023] Figure 7 This is a schematic diagram of the personal advanced membership service levels of the present invention.

[0024] Figure 8 This is a schematic diagram of the family health dashboard of the present invention.

[0025] Figure 9 This is a schematic diagram of the group health management platform of the present invention.

[0026] Figure 10 This is a schematic diagram of the AI ​​health brain algorithm architecture of the present invention. Detailed Implementation

[0027] The technical solutions of the present invention will be clearly and completely described below with reference to the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative effort are within the scope of protection of the present invention.

[0028] like Figures 1 to 10 The five-dimensional assessment and seven-dimensional intervention advanced personalized panoramic health management system is shown.

[0029] First aspect: System implementation method This invention provides an advanced personalized panoramic health management system based on five-dimensional assessment and seven-dimensional intervention, such as... Figure 1 As shown, it mainly includes four core modules: a five-dimensional assessment module, a seven-dimensional intervention module, a multi-scenario service module, and a dynamic iteration module. The following is a combination of... Figures 2 to 10 The specific implementation methods of each module are described in detail.

[0030] 1. Five-dimensional assessment module The five-dimensional assessment module is used to comprehensively collect users' health-related data and construct a personalized digital health twin. For example... Figure 2 As shown, the module further includes the following units: (1) Body constitution dimension collection unit This unit integrates AI tongue diagnosis sub-unit, AI face diagnosis sub-unit and intelligent consultation sub-unit.

[0031] The AI ​​tongue diagnosis subunit captures images of the tongue using the user's mobile phone camera or a dedicated acquisition device and uploads them to a cloud server. The server deploys a tongue diagnosis model based on a deep convolutional neural network (CNN). This model has been trained on over 100,000 labeled tongue images and can identify more than 30 features, including tongue color, shape, coating color, and texture. Based on the "Classification and Determination of Traditional Chinese Medicine Constitutions" standard, it outputs scores for nine constitutions (balanced, qi-deficient, yang-deficient, yin-deficient, phlegm-dampness, damp-heat, blood stasis, qi stagnation, and special constitution), with an accuracy rate exceeding 95%.

[0032] AI facial diagnosis subunit: Uses similar technology to collect facial images and analyze features such as complexion, luster, and lip color to assist in the determination of physical condition.

[0033] Intelligent consultation sub-unit: Collects information such as user complaints, past medical history, and lifestyle habits through interactive questionnaires, extracts key symptoms using natural language processing (NLP) technology, integrates them with tongue and facial diagnosis results, generates dynamic constitution evolution trajectory, and records the trend of constitution changes with seasons and intervention measures.

[0034] (2) Functional Dimension Acquisition Unit: This unit connects to a micro-impedance detection device (such as a bioelectrical impedance analyzer) via wired or wireless means. During detection, the device applies multi-frequency weak currents to the human body to measure the impedance values ​​of the whole body and various segments. The system receives 72 functional indicator data from 12 major systems (including cardiovascular, respiratory, digestive, endocrine, immune, nervous, musculoskeletal, urinary, reproductive, skin, sensory, and systemic metabolism) output by the device, such as basal metabolic rate, intracellular / extracellular water, body fat percentage, skeletal muscle mass, and phase angle. Based on these indicators, the system generates a cell function atlas and uses a pre-set clinical risk assessment model to warn of six major risks: cardiovascular risk (such as arteriosclerosis index), metabolic risk (such as insulin resistance index), neurological risk (such as autonomic nerve activity), immune risk (such as immune cell vitality), tumor risk (such as oxidative stress level), and fatigue risk (such as physical function index). This technology can detect functional decline trends 3-5 years earlier than traditional physical examinations.

[0035] (3) Genetic Dimension Acquisition Unit: This unit receives gene testing data provided by users and can connect with third-party gene testing companies via API, or users can upload reports. Data types include: Disease susceptibility gene analysis (e.g., APOE and Alzheimer's disease, BRCA and breast cancer); Drug metabolism gene analysis (e.g., CYP450 family and drug response); Nutritional metabolism gene analysis (such as MTHFR and folic acid metabolism, VDR and vitamin D absorption). Analysis of genes related to motor response (such as ACTN3 and explosive power). Simultaneously, combining user-submitted family medical history (disease status of immediate family members), a Bayesian network is used to construct a genetic risk assessment model, outputting the genetic risk level (low, medium, high) for various diseases.

[0036] (4) Behavioral Dimension Data Acquisition Unit: This unit connects in real time with mainstream wearable devices authorized by the user (such as Huawei Band, Apple Watch, Xiaomi Band, etc.) through standard APIs (such as HealthKit, Google Fit, Huawei Health, etc.) to continuously receive data such as heart rate (resting heart rate, exercise heart rate), steps, sleep (deep sleep duration, light sleep duration, REM sleep), and calorie consumption. At the same time, users can record health diaries (such as diet, mood, symptoms) through a mini-program. The system uses time series analysis to extract behavioral patterns, such as regularity of work and rest, distribution of exercise intensity, and trends in sleep quality.

[0037] (5) Environmental Dimension Data Acquisition Unit: This unit collects residential and office environment data through user manual input or by connecting smart home devices (such as air quality monitors, smart water bottles, etc.). Indicators include: Air quality: PM2.5, PM10, TVOC, CO2 concentration; Water quality: TDS (Total Dissolved Solids), Residual Chlorine, pH value; Temperature and humidity: temperature, relative humidity; Illumination: Illuminance, color temperature; Noise: Equivalent continuous A-weighted sound level. The system compares this data with national standards (such as the Ambient Air Quality Standard) to generate an environmental health score and identify environmental risk factors (such as PM2.5 exceeding the standard and excessively low humidity).

[0038] (6) Five-Dimensional Fusion Analysis Unit: This unit performs multimodal fusion of the data from the above five dimensions to construct a digital twin of the user's health. The specific process is as follows: Feature extraction: Preprocessing of various data types (missing value imputation, normalization) is performed to extract representative features. The physical fitness dimension outputs a 9-dimensional physical fitness score vector; the functional dimension outputs a 72-dimensional functional indicator vector; the genetic dimension outputs several risk genotype codes; the behavioral dimension outputs time-series statistical features (mean, variance, trend); and the environmental dimension outputs daily / weekly averages of each indicator.

[0039] Multimodal fusion: An attention mechanism is used to weightedly fuse features from different modalities. Specifically, the feature vectors from each modality are concatenated and input into a fully connected layer. Attention weights are generated using softmax, and the original features are weighted and summed to obtain the fused comprehensive feature vector. This mechanism can dynamically adjust the contribution of each modality to the final health profile; for example, when the genetic risk is high, the weight of the genetic dimension is automatically increased.

[0040] Attention weight generation layer: ``` Input: fused feature vector F∈R 97 Hidden layer: h = tanh(W1·F + b1) where W1 ∈ R 64 × 97 b1∈R 64 Attention score: e_i = w_i^T·h where w_i∈R 64 i = 1, 2, ..., 5 (corresponding to five dimensions) Attention weights: exp(e_j)forj=1to5 ``` Weighted fusion: ``` Feature vectors of each dimension: F_physical constitution ∈ R 9 ,F_function∈R 32 F_heredity∈R 24 ,F_behavior∈R 24 ,F_environment∈R 8 Features after weighted fusion: constitution Function Heredity Behavior Environment]∈R 97 ``` Model training: Training data: 50,000 multimodal health data points, of which 80% were used for training, 10% for validation, and 10% for testing. Optimizer: Adam, learning rate 0.001, decay rate 0.9 Loss function: Mean Squared Error (MSE) + Cross Entropy (for multi-task learning) Training rounds: 200 rounds, with an early stopping mechanism (the training stops if the validation set loss does not decrease within 10 rounds). Interpretable output of attention weights: The system can output the contribution of each dimension to the current health assessment, for example: "This cardiovascular risk warning mainly comes from the functional dimension (weight 0.42) and the genetic dimension (weight 0.31).

[0041] Construction of a health digital twin: Fusion features are input into a pre-trained deep neural network (DNN). This network contains multiple hidden layers, and the output layer includes physical fitness score prediction, functional index regression, and risk probability. The network model has been trained on tens of thousands of multimodal health datasets, accurately mapping the user's current health status. Simultaneously, the system maintains a user health status vector that updates over time, forming a dynamically evolving digital twin.

[0042] Comprehensive Health Profile Generation: Outputs a comprehensive health report, including radar charts of nine body constitution scores, trend charts of major functional indicators, a list of genetic risks, behavioral pattern analysis (such as sleep efficiency and exercise achievement rate), environmental assessment scores, and improvement suggestions.

[0043] Risk warning: Use time series analysis (such as LSTM) to model historical data and predict future changes in health indicators; combine survival analysis models (Cox proportional hazards model) to estimate the probability of developing specific diseases (such as diabetes and hypertension) in the next 3-5 years and generate risk warnings, such as "Cardiovascular risk is high, and it is recommended to pay close attention".

[0044] 2. Seven-dimensional intervention module The seven-dimensional intervention module generates personalized, multi-dimensional intervention plans based on the five-dimensional assessment results. For example... Figure 3 As shown, it includes seven intervention units: (1) Nine-body light health advanced intervention unit This unit is based on the dynamic monarch-minister-assistant rule engine to dynamically generate tea recipes, dietary therapy plans, micro-exercises, acupoint health care and emotional and daily life suggestions for each user.

[0045] Rule Engine: Employing the "principal, assistant, adjuvant, and guide" theory of traditional Chinese medicine compatibility, medicinal materials are categorized into principal herbs (primary function), assistant herbs (supporting the principal herb), adjuvant herbs (restraining toxicity or providing assistance), and guide herbs (harmonizing). The rule engine adjusts the weight of each herb in real-time based on the user's constitution score, the current solar term, health risks, and user feedback. The weight calculation formula is: Final Score = Base Weight × Seasonal Coefficient × Risk Coefficient × Concurrent Factor Coefficient. The base weight is preset based on constitution type (e.g., a Yang deficiency constitution corresponds to a higher weight for warming Yang herbs).

[0046] The basic weights of each medicinal herb are preset as shown in the table below (partial example): The seasonal coefficients are dynamically adjusted based on the 24 solar terms, as shown in the table below: Solar term determination logic: The system automatically determines the solar term based on the current date and updates the seasonal coefficient once a day.

[0047] The risk coefficient is dynamically adjusted based on the functional risks in the five-dimensional assessment, as shown in the table below: Risk coefficient stacking rule: When a user has multiple risks at the same time, the risk coefficient is the product of the adjustment coefficients of each risk, but the upper limit is no more than 2.0.

[0048] The concomitant coefficient is used to handle cases with multiple constitutions, such as a combination of Qi deficiency and blood stasis, in which case both Qi-tonifying and blood-activating herbs are considered.

[0049] The specific quantification rules for the combination coefficient are shown in the table below: Tea recipe generation: The system calculates the score of each candidate herb based on the rule engine, selects the 3-5 herbs with the highest scores to form a tea recipe, and provides suggested dosages.

[0050] To more clearly illustrate the workflow of this rule engine, we will now take a user with Yang deficiency and Qi deficiency, and high microcirculation resistance (in winter) as an example to explain in detail the tea recipe generation process: Candidate medicinal material library: 50 medicinal materials suitable for Yang deficiency constitution were selected from 300 commonly used medicinal materials; Basic weight assignments: Cinnamon 0.85, Aconite 0.90 (prohibited), Astragalus 0.80, Angelica 0.75, Salvia miltiorrhiza 0.70, Licorice 0.50, etc.; Seasonal coefficient adjustment: In winter, warming herbs ×1.4, blood-activating herbs ×1.0, and heat-clearing herbs ×0.7; Risk factor adjustment: High microcirculation resistance, increase blood-activating herbs by 1.2; Adjustment of the concomitant coefficient: For Yang deficiency combined with Qi deficiency, increase the amount of Qi-tonifying herbs by 1.3; Final score calculation: Cinnamon: 0.85 × 1.4 × 1.0 × 1.0 = 1.19; Astragalus: 0.80 × 1.0 × 1.0 × 1.3 = 1.04; Salvia miltiorrhiza: 0.70 × 1.0 × 1.2 × 1.0 = 0.84; Angelica sinensis: 0.75 × 1.0 × 1.2 × 1.3 = 1.17; Licorice: 0.50 × 1.0 × 1.0 × 1.0 = 0.50; Herbal selection: Select the 5 herbs with the highest scores -- cinnamon, angelica, astragalus, salvia miltiorrhiza, and licorice.

[0051] Dosage recommendation: Based on the user's weight (70kg) and body condition score, use 3g of cinnamon, 5g of angelica, 5g of astragalus, 3g of salvia miltiorrhiza, and 2g of licorice.

[0052] For example, users with Yang deficiency and high microcirculation resistance may consume a warming and blood-activating tea in winter, consisting of "5g of Cistanche deserticola, 5g of Astragalus membranaceus, 3g of Salvia miltiorrhiza, 3g of Lycium barbarum, 2g of Glycyrrhiza uralensis, and 2 red dates".

[0053] Dietary therapy plan: Based on the knowledge base of traditional Chinese medicine dietary therapy, we recommend ingredients and recipes suitable for your constitution. For example, we recommend Angelica sinensis, ginger and mutton soup for those with Yang deficiency.

[0054] Micro-exercises: We recommend specific movements from traditional exercises such as Baduanjin and Tai Chi, such as "Back-bumping Exercise" which is suitable for those with Yang deficiency.

[0055] Acupoint therapy: Recommended acupoints for self-massage (such as Guanyuan and Zusanli) and their operation methods.

[0056] Emotional and daily life guidance: Provide suggestions for emotional regulation based on physical constitution (e.g., those with Yin deficiency should rest quietly) and guidance on daily routines (e.g., those with phlegm-dampness constitution should go to bed early).

[0057] (2) Cell Storage Intervention Unit: This unit recommends cell storage types to users based on the five-dimensional assessment results (especially genetic risk and functional decline trends) and family medical history. Umbilical cord stem cells: Suitable for families with newborns, storing umbilical cord mesenchymal stem cells; Primary tooth stem cells: Suitable for children, storing stem cells from shed primary teeth; Immune cells: Suitable for adults, storing peripheral blood immune cells for future immunotherapy; Adipose-derived stem cells: Suitable for users with cosmetic and anti-aging needs. The system also provides cell quality tracking services, including annual activity testing, expansion potential assessment, and gene stability testing. It also improves cell quality by 15-20% through body conditioning suggestions (such as improving metabolic function), achieving a synergistic effect of "current conditioning + future reserve".

[0058] To verify the synergistic effect, a clinical controlled study was conducted on this system, and the specific data are as follows: Research Design: Experimental results Statistical analysis: p<0.01, the experimental group showed significantly better improvement than the control group.

[0059] Conclusion: Consistent physical conditioning can significantly improve the quality of immune cells, confirming the synergistic effect of "current conditioning" and "cell reserve".

[0060] (3) Intelligent Physiotherapy Intervention Unit This unit is integrated with intelligent physiotherapy equipment (such as...) Figure 5 (As shown) This connection provides services such as nine-body fumigation, acupoint moxibustion, traditional Chinese medicine beauty treatments, and neck and shoulder relief. Its workflow includes: The AI ​​diagnostic subunit integrates an infrared thermal imager, a meridian detector, and a tongue diagnosis analysis module. Infrared thermal imaging acquires a full-body temperature distribution map, identifying areas of imbalance between cold and heat; the meridian detector measures the electrical conductivity of the 12 meridian acupoints to assess meridian deficiency and excess; and tongue diagnosis analysis supplements constitution information. After integration, the AI ​​algorithm generates a personalized treatment plan, such as determining the acupoints requiring moxibustion (Guanyuan, Mingmen), the type of moxibustion (mild moxibustion), and the treatment time.

[0061] Intelligent execution subunit: It adopts a 6-DOF collaborative robotic arm and is equipped with a visual positioning system (such as a depth camera) to automatically identify human acupoints with a positioning accuracy of ±1mm.

[0062] The specific algorithm for automatically locating acupoints is as follows: Coordinate system definition: Base coordinate system {B}: Center of robot arm base End coordinate system {E}: Center of the robot arm's end flange Camera coordinate system {C}: optical center of depth camera Human coordinate system {P}: A dynamic coordinate system based on key points of the human body. Hand-eye alignment: The transformation matrix T_E_C from the camera to the end effector of the robotic arm is obtained by solving AX=XB using the Tsai method.

[0063] Acupoint identification: The global camera identifies key points on the human body (shoulder, elbow, wrist) to determine the target limb area.

[0064] The robotic arm carrying a local camera moves to a position 20-30cm above the target area.

[0065] A local camera acquires RGB-D images, which are input into the HRNet acupoint detection model to output acupoint heatmaps.

[0066] Extract the peak coordinates (u,v) from the heatmap and combine them with the depth value d to obtain the three-dimensional coordinates of the acupoint in the camera coordinate system: P_C=(x,y,z). Coordinate transformation: P_B = T_B_E × T_E_C × P_C in: T_B_E: Proper kinematics solution for a robotic arm (calculated in real time based on joint angles) T_E_C: Hand-eye calibration result (fixed value) Error compensation: Kalman filtering is used to compensate for dynamic errors. The state vector is X=[x,y,z,vx,vy,vz]ᵀ, and the observed value is the coordinate of the currently detected acupoint.

[0067] The robotic arm has an integrated moxibustion device at its end, which can perform various modes such as gentle moxibustion, sparrow-pecking moxibustion, and rotary moxibustion.

[0068] Intelligent temperature control subunit: It uses a PID algorithm to control the heating temperature, so that the distance between the moxibustion head and the skin is dynamically adjusted to keep the temperature of the treatment area constant within the preset value ±0.5℃ range, thus preventing burns.

[0069] The specific formulas and parameters of the PID control algorithm are as follows: in: e(t) = T_target - T_actual, where T_target is the deviation between the target temperature and the actual temperature. Kp = 2.5 (proportional coefficient) Ki = 0.3 (integral coefficient) Kd = 0.8 (differential coefficient) Temperature control accuracy: ±0.3℃ (better than ±0.5℃ in the original manual).

[0070] Security protection mechanism: Heating should be immediately stopped when skin temperature is detected to be >45℃. When the robotic arm is less than 5mm away from the skin, it will automatically retract.

[0071] Effect evaluation sub-unit: Infrared thermal imaging and meridian detection are performed again before and after treatment to compare temperature distribution and meridian energy changes, generate an effect evaluation report, and provide optimization suggestions for the next treatment.

[0072] (4) Environmental Optimization Intervention Unit: This unit generates specific environmental optimization suggestions based on the environmental dimension assessment results. For example: If PM2.5 levels exceed the standard, here are some recommended air purifier models and usage suggestions. If the humidity is too low, it is recommended to use a humidifier; If the desk and chair are not ergonomic, we recommend standing desks and ergonomic chairs; If the sleeping environment is noisy, we recommend earplugs or a white noise machine; If you lack space for exercise, we recommend a home fitness area planning solution. Users can directly purchase recommended products through the system (e-commerce interface integration).

[0073] (5) Psychological Counseling and Intervention Unit: This unit provides multi-level psychological support: AI emotion recognition module: Based on a deep learning model, it analyzes the user's voice (through voice input), facial expressions (through camera), and diary text (NLP sentiment analysis) to identify emotional states such as anxiety, depression, and stress in real time with an accuracy rate of over 90%.

[0074] Professional Psychological Counselor Matching Module: When AI identifies serious emotional problems or a user actively seeks help, the system can schedule an appointment with a psychological counselor contracted by the platform for video or offline consultation.

[0075] Mindfulness Training Guided Module: Provides audio-guided mindfulness meditation and body scan exercises, and records the frequency and duration of user practice.

[0076] Emotional Diary Analysis Module: Users can record their daily emotional fluctuations, and the system automatically analyzes the triggering factors of emotions and provides suggestions for cognitive adjustment.

[0077] (6) Digital Therapy Intervention Unit: This unit enhances user compliance through gamification and biofeedback technology. Cognitive Training Module: Includes training mini-games for memory, attention, and executive function, with difficulty adaptively adjusted.

[0078] Sleep Improvement Module: Users wear wearable devices to monitor heart rate variability (HRV). The system recommends breathing exercises (such as the 4-7-8 breathing method) based on HRV data and pushes relaxing music before bedtime.

[0079] Stress Management Module: Based on HRV biofeedback, it guides users to perform diaphragmatic breathing training and displays changes in stress index in real time.

[0080] Behavior correction module: Set health tasks (such as walking 8,000 steps or drinking 8 cups of water per day). Completing tasks will earn you points and badges, and you can compete with your friends to enhance the fun.

[0081] (7) Wearable Closed-Loop Intervention Unit: This unit is responsible for real-time data interaction with wearable devices to form a closed-loop iterative process (e.g., Figure 6 (as shown) Data collection: Wearable devices continuously collect data such as heart rate, sleep, and exercise, which are then synchronized to a mobile app via Bluetooth and uploaded to the cloud.

[0082] Cloud-based analytics: The AI ​​health brain in the dynamic iteration module analyzes data in real time and identifies anomalies (such as excessively high heart rate at night or insufficient deep sleep).

[0083] Program Adjustment: If an anomaly is detected, the system will automatically fine-tune the intervention program, such as pushing relaxation training or adjusting the exercise goals for the next day.

[0084] Execution feedback: After the user implements the new plan, the wearable device continues to collect data to verify the effect.

[0085] Effectiveness Evaluation: The system assesses the effectiveness of the adjustment based on data changes and records the results in the user profile. This closed-loop mechanism results in a user check-in rate of over 85%, significantly better than traditional health management apps.

[0086] 3. Multi-scenario service module The multi-scenario service module provides customized interfaces and management functions based on user type, such as... Figures 7 to 9 As shown.

[0087] (1) The Individual Advanced Membership Unit is designed for individual users and has four service levels with progressively increasing benefits: New Sprout Advancement: Basic Five-Dimensional Assessment + Nine-Body Light Nourishment Basic Plan; Advanced QingSui: Enhanced cell reserve consultation + intelligent physiotherapy experience; Huamu Advanced: Includes complete seven-dimensional intervention + unlimited intelligent physiotherapy; Zhenlin Advanced Services: Dedicated health concierge + priority appointment with specialists + VIP cell storage service.

[0088] (2) The Family Advanced Membership Unit supports the binding of 2-5 family members (across generations) and provides the following functions: Family Health Dashboard: Displays each member's health score, to-do tasks, and early warning information in a centralized manner; Family Co-care Program: Based on the physical condition of each member, generate "one table, multiple recipes" family recipes, as well as parent-child health games suitable for the whole family to participate in (such as acupoint treasure hunt, health little chef). Parent-Child Health: Record children's growth and development indicators and provide parenting health knowledge; Health inheritance: Analyze family history of genetic diseases and provide targeted prevention advice for family members.

[0089] (3) The advanced group membership unit provides organizational health management services to enterprises, government agencies, and public institutions: Team Health Report: Anonymous statistics on the physical condition distribution, risk distribution, and sub-health rate of all employees; Health Officer Training: Training internal health administrators for enterprises and guiding the organization of health activities; Health Challenge: Organize step count challenges, weight loss competitions, etc., to enhance team cohesion; Executive Health Privileges: Providing executives with one-on-one health management and priority services; ROI Analysis: Based on employee health improvement data, estimate the impact of reduced medical costs and increased productivity on the enterprise.

[0090] 4. Dynamic Iteration Module The dynamic iteration module is the core of achieving personalized dynamic optimization, such as Figure 10 As shown, it includes the following units: (1) The real-time data monitoring unit is connected to the wearable device in real time, receives heart rate data once per minute, summarizes the previous day's sleep and exercise data every morning, and updates the user's health status curve. When a continuous abnormality is detected (such as an increase in resting heart rate for three consecutive days), an alarm is triggered.

[0091] (2) The effect evaluation unit conducts a comprehensive review (five-dimensional evaluation) every quarter, comparing the changes in physical fitness scores and functional indicators between the current and previous evaluations, and generating an effect evaluation report. For example, the system can quantify "Yang deficiency score decreased by 15 points" and "basal metabolic rate increased by 8%", and perform attribution analysis to determine which intervention measures played the main role (based on causal inference algorithm).

[0092] (3) The program iteration unit automatically optimizes the next stage intervention program based on the effect evaluation and user feedback. For example, if a user reports that a certain tea recipe does not taste good, the system will try to replace one of the medicinal materials (while ensuring efficacy); if a certain exercise program has a low execution rate, the system will reduce the intensity or change the type of exercise.

[0093] (4) AI Health Brain Unit This unit integrates a variety of artificial intelligence algorithms to provide decision support for the entire system: Deep learning: used for tongue diagnosis image classification and risk prediction; Reinforcement learning: used to dynamically adjust intervention strategies to maximize user health benefits; Causal inference: used for effect attribution to determine the causal relationship between intervention and health improvement; Time series analysis: used to predict health trends; Collaborative filtering: successful experiences in recommending similar users.

[0094] 5. Technical effect verification data 5.1 Early Warning Effectiveness of Five-Dimensional Integrated Assessment 5.2 The effect of seven-dimensional intervention on physical fitness improvement 5.3 User compliance data 6. Achieving Data Compliance and Privacy Protection 6.1 User Authorization Process This system strictly adheres to the following authorization process at every stage of data acquisition: 6.2 Data Encryption and Storage Transmission encryption: TLS 1.3 protocol, 2048-bit RSA encryption; Storage encryption: AES-256-GCM algorithm, key and data are stored separately; Access control: Role-based access control (RBAC), all operations are logged; Data anonymization: The data used for model training is anonymized so that it cannot be traced back to the individual.

[0095] 6.3 Compliance Certification This system is currently applying for the following certifications: ISO27001 Information Security Management System; ISO27701 Privacy Information Management System; Level 3 Certification of National Information Security Protection System; Compliance Assessment of the Personal Information Protection Law.

[0096] Second aspect: Method implementation Corresponding to the above system, the present invention also provides an advanced personalized panoramic health management method based on five-dimensional assessment and seven-dimensional intervention, comprising the following steps: Step S1: Data Collection. The five-dimensional assessment module collects data on the user's physical condition, function, genetics, behavior, and environment. The specific collection method is as described above. Users can complete some data collection themselves through the mini-program (such as tongue diagnosis and questionnaires), or complete professional tests (micro-impedance impedance, infrared thermal imaging, etc.) at the experience center.

[0097] Step S2: Construct a health digital twin. Perform multimodal fusion analysis on the collected five-dimensional data to construct the user's health digital twin. Specifically, this includes: Clean and normalize various types of data; Features from each modality are extracted and weighted fusion is performed using an attention mechanism; By inputting the fused features into a pre-trained deep learning model, a comprehensive health profile is generated. Based on time series analysis and survival analysis models, we predict health risks over the next 3-5 years and output risk warnings.

[0098] Step S3: Generate a Seven-Dimensional Intervention Plan. Based on the comprehensive health profile and risk warning output in Step S2, a personalized intervention plan is generated through the seven-dimensional intervention module: Based on a dynamic monarch-minister-assistant-guide rule engine, generate nine-body light health care solutions, including tea recipes and dietary therapy. Recommended cell storage types based on genetic risk and functional decline; AI-generated diagnostic solutions are generated and executed by a robotic arm. Environmental optimization recommendations are generated based on the environmental assessment. Matching psychological counseling resources using AI emotion recognition; Push digital therapy training content; Establish a wearable closed loop for real-time monitoring and feedback.

[0099] Step S4: Multi-scenario customized services provide corresponding service interfaces and management functions based on user type (individual, family, group), such as individual level benefits, family health dashboard, group health reports, etc.

[0100] Step S5: Dynamic Iterative Optimization Based on real-time data from wearable devices and quarterly review results, the intervention plan is dynamically optimized: Real-time data monitoring allows for timely adjustments upon detection of anomalies; A performance evaluation report is generated after the quarterly review, and the plan for the next stage is automatically optimized. This forms a complete closed loop of "assessment-intervention-tracking-iteration". Specific Implementation To more clearly illustrate the technical effects of the present invention, the following describes in detail the complete process of a 45-year-old male individual user using the system.

[0102] User background: Mr. Zhang, 45 years old, a senior executive in a company, works at a desk for long periods of time, has many social engagements, and exercises little. He feels that his energy is declining and hopes to improve his health through the system.

[0103] Step 1: Five-Dimensional Assessment. After Mr. Zhang signed up for QingSui Advanced Membership, he completed AI tongue diagnosis, facial diagnosis, and a health questionnaire via a mini-program. He also completed micro-impedance impedance testing at the experience center, authorized access to Huawei Band data, uploaded a genetic testing report, and filled in information about his family and work environment. The system collected the following key data: Constitutional dimensions: Yang deficiency constitution 85 points, Qi deficiency constitution 68 points, with phlegm and dampness constitution; Functional dimensions: Basal metabolic rate 1250kcal (lower than the standard for the same age), microcirculation resistance 0.85 (higher than average), fatigue index 68 (indicating sub-health). Genetic factors: family history of hypertension (father has hypertension), APOE gene Type (slightly higher risk of Alzheimer's disease); Behavioral dimensions: average daily sleep of 6.5 hours, deep sleep rate of 15%, average daily steps of 5,000, and low heart rate variability (HRV); Environmental factors: I sit at work for long periods of time (average 10 hours of sitting posture per day), and the air quality at home is good, but the noise level in the bedroom is slightly high at night (from outside the window).

[0104] Five-dimensional fusion analysis constructs Mr. Zhang's health digital twin, generates a comprehensive health profile, and issues early warnings: Cardiovascular risk: Medium risk level within 6 months (high arteriosclerosis index); Metabolic risk: 15% risk of developing diabetes within 2 years (low insulin sensitivity). Neurological risk: Decreased autonomic function (low HRV).

[0105] Step Two: Generating a Seven-Dimensional Intervention Plan. Based on the assessment results, the system generates a personalized plan for Mr. Zhang. Nine-step body care: The dynamic monarch-minister-assistant rule engine generates a warming and blood-activating tea formula (5g of Cistanche deserticola, 5g of Astragalus membranaceus, 3g of Salvia miltiorrhiza, 3g of Lycium barbarum, 2g of Glycyrrhiza uralensis, and 2 red dates). It is recommended to drink Angelica sinensis and ginger mutton soup twice a week. For micro-exercise, it is recommended to do the "back-bumping exercise" 100 times every morning. For acupressure, press Guanyuan and Zusanli points. For emotional well-being, it is recommended to get more sun exposure and maintain a happy mood.

[0106] Cell storage: Given the family history of hypertension and low immune cell function indicators, storing immune cells is recommended, and storage procedures are provided.

[0107] Intelligent physiotherapy: Intelligent moxibustion once a week, focusing on Guanyuan and Mingmen acupoints, is precisely performed by a robotic arm.

[0108] Environmental optimization: It is recommended to work standing up (stand for 10 minutes every hour), and use earplugs or a white noise machine in the bedroom to improve sleep.

[0109] Psychological support: We provide mindfulness meditation audio, 10 minutes a day, to relieve work stress.

[0110] Digital therapy: Based on HRV data, push sleep improvement training (4-7-8 breathing method before bed) and set daily step goals (gradually increasing to 8000 steps).

[0111] Wearable closed loop: Huawei Band monitors in real time. If a user sleeps for less than 1.5 hours for two consecutive days, the system will automatically push relaxing music or adjust the amount of exercise for the next day.

[0112] Step 3: Execution and Iteration. Mr. Zhang followed the plan for 6 months. During this period, the wearable closed-loop system continuously monitored the data, and the system made minor adjustments to the tea recipe each month (such as reducing warming herbs and increasing heat-clearing herbs in summer). The re-evaluation in the third month showed that his Yang deficiency constitution score dropped to 72 (an improvement of 15%), his basal metabolic rate increased to 1320 kcal, and his microcirculation resistance decreased to 0.80.

[0113] Results of the comprehensive review in the 6th month: Constitutional dimensions: Yang deficiency constitution 62 points (improvement 27%), Qi deficiency constitution 55 points (improvement 19%), Phlegm-dampness constitution reduced; Functional dimensions: Basal metabolic rate 1380kcal (up 10.4%), microcirculation resistance 0.75 (down 12%), fatigue index reduced to 45; Behavioral dimensions: Average daily sleep 7.2 hours, deep sleep 20%, average daily steps 7500, HRV improved; Risk warning: Cardiovascular risk has been reduced to low, and the risk of diabetes has been reduced to 8%.

[0114] Relevant experimental data: Early warning effectiveness of five-dimensional integrated assessment The effect of seven-dimensional intervention on physical condition improvement User compliance data Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A personalized panoramic health management system integrating five-dimensional assessment and seven-dimensional intervention, characterized by: include: The five-dimensional assessment module is used to collect data on the user's physical constitution, functional function, genetics, behavior, and environment. It performs multimodal fusion analysis on the five-dimensional data to construct a digital health twin of the user and output a comprehensive health profile and risk warning that includes physical constitution score, functional indicators, genetic risk, behavioral patterns, and environmental assessment. The seven-dimensional intervention module, connected to the five-dimensional assessment module, is used to generate a personalized seven-dimensional intervention plan based on the comprehensive health profile and risk warning. The seven-dimensional intervention plan includes nine-body light health advanced intervention, cell reserve intervention, intelligent physiotherapy intervention, environmental optimization intervention, psychological counseling intervention, digital therapy intervention, and wearable closed-loop intervention. A multi-scenario service module, connected to the seven-dimensional intervention module, is used to provide customized service interfaces and management functions according to user types, including individual users, family users, and group users. The dynamic iteration module is connected to both the five-dimensional assessment module and the seven-dimensional intervention module, and is used to dynamically optimize and iteratively update the seven-dimensional intervention plan based on real-time monitoring data and periodic review results.

2. The advanced personalized panoramic health management system based on five-dimensional assessment and seven-dimensional intervention as described in claim 1, characterized in that, The five-dimensional evaluation module includes: The constitution dimension data collection unit includes an AI tongue diagnosis subunit, an AI face diagnosis subunit, and an intelligent consultation subunit. It is used to collect data from the four diagnostic methods of traditional Chinese medicine, perform nine-type syndrome differentiation, and output nine constitution scores, the main constitution, the secondary constitution, and the dynamic evolution trajectory of the constitution. The functional dimension acquisition unit is connected to the micro-impedance detection device to receive data on 72 functional indicators from 12 major systems throughout the body, generate cell function atlases, and provide early warnings of cardiovascular risk, metabolic risk, neurological risk, immune risk, tumor risk, and fatigue risk. The genetic dimension acquisition unit is used to receive gene testing data, including disease susceptibility gene analysis, drug metabolism gene analysis, nutritional metabolism gene analysis, and exercise response gene analysis, and to construct a genetic risk assessment model in combination with family medical history. The behavioral dimension acquisition unit connects to wearable devices to receive real-time data on heart rate, steps, sleep, and calories, and combines this data with the user's health diary to analyze behavioral patterns. The environmental dimension data collection unit is used to collect data on living and office environments, including air quality, water quality, temperature and humidity, light and noise levels, and to conduct environmental health assessments. The five-dimensional fusion analysis unit is used to extract multimodal features from the data of the physical, functional, genetic, behavioral, and environmental dimensions, and to perform weighted fusion of the multimodal features using an attention mechanism. The fusion is then input into a pre-trained deep learning model to construct the health digital twin.

3. The advanced personalized panoramic health management system based on five-dimensional assessment and seven-dimensional intervention as described in claim 1, characterized in that, The seven-dimensional intervention module includes: The Nine-Body Light Nourishment Advanced Intervention Unit, based on the dynamic monarch-minister-assistant-guide rule engine, dynamically adjusts the tea recipes, dietary therapy plans, micro-exercises, acupoint health care and emotional and daily life plans according to changes in body constitution, seasons, health risks and user feedback. The cell reserve intervention unit is used to recommend cell storage types based on the five-dimensional assessment results and family medical history. The cell storage types include umbilical cord stem cells, deciduous tooth stem cells, immune cells and adipose stem cells, and provides cell quality tracking services. The intelligent physiotherapy intervention unit connects to intelligent physiotherapy equipment to provide services such as nine-body fumigation, acupoint moxibustion, traditional Chinese medicine beauty treatments, and neck and shoulder relief. The environmental optimization intervention unit is used to generate optimization suggestions for home environment, office environment, sleep environment and sports environment based on the assessment results of the environmental dimensions. The psychological counseling and intervention unit includes an AI emotion recognition module, a professional psychological counselor matching module, a mindfulness training guidance module, and an emotion diary analysis module. The digital therapy intervention unit includes a cognitive training module, a sleep improvement module, a stress management module, and a behavior modification module, which employs gamification design and biofeedback technology. The wearable closed-loop intervention unit is used to interact with wearable devices in real time to achieve a closed-loop iteration of "data collection, cloud analysis, plan adjustment, execution feedback, and effect evaluation".

4. The advanced personalized panoramic health management system based on five-dimensional assessment and seven-dimensional intervention as described in claim 3, characterized in that, The intelligent physiotherapy intervention unit includes: The AI ​​diagnostic subunit integrates infrared thermal imaging detection, meridian detection, and tongue diagnosis analysis to generate physiotherapy plans. The intelligent execution subunit includes a 6-DOF robotic arm, which is used to automatically locate acupoints and perform moxibustion operations with a positioning accuracy of ±1mm. The intelligent temperature control subunit is used to maintain the treatment temperature accuracy at ±0.5℃; The efficacy evaluation sub-unit is used to generate pre- and post-treatment comparative analyses and suggestions for treatment optimization.

5. The advanced personalized panoramic health management system based on five-dimensional assessment and seven-dimensional intervention as described in claim 3, characterized in that, The weight calculation formula of the dynamic monarch-minister-assistant-envoy rule engine is as follows: Final score = base weight × seasonal coefficient × risk coefficient × concomitant coefficient; The seasonal coefficients are adjusted according to the following rules: for spring, summer, late summer, autumn, and winter, the weights of liver-soothing herbs are increased by 0.2, heat-clearing herbs by 0.2, dampness-removing herbs by 0.2, lung-moistening herbs by 0.2, and yang-warming herbs by 0.2, respectively. The risk coefficients are adjusted according to the following rules: for low basal metabolic rate, high microcirculation resistance, high inflammation index, low insulin sensitivity, and decreased immune function, the weights of warming yang herbs are increased by 0.2, blood-activating herbs by 0.2, heat-clearing herbs by 0.2, yin-nourishing herbs by 0.2, and qi-tonifying herbs by 0.

2.

6. The advanced personalized panoramic health management system based on five-dimensional assessment and seven-dimensional intervention as described in claim 1, characterized in that, The dynamic iteration module includes: The real-time data monitoring unit connects to wearable devices in real time to monitor changes in heart rate, sleep, and exercise data, and updates health status daily. The effect evaluation unit is used to generate an effect evaluation report on changes in physical condition, changes in functional indicators, and improvement of symptoms based on quarterly review data. The solution iteration unit is used to automatically optimize the next stage intervention plan based on the effect evaluation report and user feedback. The AI ​​Health Brain Unit integrates deep learning, reinforcement learning, causal inference, time series analysis, and collaborative filtering algorithms for physical condition identification, risk prediction, solution generation, effect evaluation, and personalized recommendations.

7. The advanced personalized panoramic health management system based on five-dimensional assessment and seven-dimensional intervention as described in claim 1, characterized in that, The multi-scenario service module includes: The Individual Advanced Membership Unit provides services including five-dimensional assessment, nine-body light health enhancement, intelligent physiotherapy, and cell reserve. It is divided into four service levels: New Sprout Advanced, Green Ear Advanced, Magnificent Tree Advanced, and Premium Forest Advanced. The Family Advanced Membership Unit is designed to support health management for family members of 2-5 people, providing features such as a family health dashboard, family co-parenting solutions, parent-child health, and health inheritance functions. The Group Advanced Membership Unit is used to provide enterprises, government agencies, and public institutions with five-dimensional assessments, team health reports, health officer training, health challenges, and health privileges for senior executives.

8. A progressive personalized panoramic health management method based on five-dimensional assessment and seven-dimensional intervention, applied to the system described in any one of claims 1 to 7, characterized in that, Includes the following steps: Step S1: Collect user's physical condition data, functional data, genetic data, behavioral data, and environmental data through the five-dimensional assessment module; Step S2: Perform multimodal fusion analysis on the five-dimensional data to construct a digital health twin of the user and output a comprehensive health profile and risk warning that includes physical fitness score, functional indicators, genetic risk, behavioral patterns and environmental assessment. Step S3: Based on the comprehensive health profile and risk warning, a personalized seven-dimensional intervention plan is generated through the seven-dimensional intervention module; the seven-dimensional intervention plan includes nine-body light health advanced intervention, cell reserve intervention, intelligent physiotherapy intervention, environmental optimization intervention, psychological counseling intervention, digital therapy intervention and wearable closed-loop intervention; Step S4: Based on user type, provide customized service interfaces and management functions for individuals, families, or groups through multi-scenario service modules; Step S5: Through the dynamic iteration module, the seven-dimensional intervention plan is dynamically optimized and iteratively updated based on real-time monitoring data and periodic review results.

9. The advanced personalized panoramic health management method based on five-dimensional assessment and seven-dimensional intervention as described in claim 8, characterized in that, The method for constructing a healthy digital twin in step S2 includes: Feature extraction is performed on the five-dimensional data; An attention mechanism is used to weightedly fuse multimodal features; Input a pre-trained deep learning model to construct a complete health data mapping for the user, forming a dynamically evolving digital health twin; Based on time series analysis and survival analysis models, predict health risks for the next 3-5 years and generate risk warnings.

10. The advanced personalized panoramic health management method based on five-dimensional assessment and seven-dimensional intervention according to claim 8, characterized in that, The method for generating the seven-dimensional intervention plan in step S3 includes: Based on the dynamic monarch-minister-assistant-guide rule engine, the tea recipes and dietary therapy plans are dynamically adjusted according to changes in body constitution scores, seasons, health risks and user feedback. Based on the five-dimensional assessment results and family medical history, we recommend the type and plan of cell storage. The AI ​​diagnostic system generates intelligent physiotherapy plans, which are then precisely applied to acupoints by a robotic arm. Based on the environmental assessment results, generate environmental optimization recommendations; Psychological state assessment is conducted using an AI emotion recognition module to match psychological counseling resources; Based on user behavior data, push digital therapy content including cognitive training, sleep improvement, stress management and behavior correction. By monitoring user feedback in real time through wearable devices, intervention plans can be adjusted.

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