30 results about "Physical field" patented technology

The invention relates to the technical field of intelligent operation and maintenance of power equipment, in particular to a cable system full life cycle health management method based on digital twinning, which comprises the following steps: step 1, constructing a cable digital twinning body fusing electric-thermal-mechanical-chemical multi-physical fields; 2, dynamically fusing multi-source monitoring data, and collecting a cable skin continuous temperature sequence, a partial discharge pulse waveform and soil environment parameters; 3, solving a coupling equation of conductivity-thermal conductivity-stress tensor-ion diffusivity through iteration to realize multi-physical field linkage simulation; 4, generating a self-adaptive maintenance decision, inputting the insulation aging factor into an LSTM predictor to output a residual life prediction value, and generating a maintenance work order when the residual life is lower than a threshold value; and 5, carrying out closed-loop correction on the model, and updating the insulation aging factor calculation model and the physical attributes of the three-dimensional grid according to actual maintenance data. The method improves the safety, reliability and operation and maintenance efficiency of the cable system, and has important industrial application prospects.

The invention provides a conformal skin preparation process key parameter optimization and rapid prediction database construction method, equipment and a medium. According to the method, key characteristics such as global temperature distribution, curing degree distribution, internal stress distribution, resin / fiber volume distribution and surface displacement distribution are calculated through a multi-physics field intensity coupling simulation model under different process parameter conditions, and the curing deformation mechanism in the conformal skin curing process is disclosed. Different curing process conditions are determined to cover various possible operating conditions. And for each working condition, numerical simulation of the curing process is carried out, and data such as temperature distribution, curing degree distribution, internal stress distribution, resin / fiber volume distribution and surface displacement distribution under each working condition are recorded. Simulation results under different working conditions are systematically stored in a database, and a multi-working-condition simulation database is obtained. Based on the constructed database, the process can be effectively optimized, the product quality is improved, and the technology development is promoted.

The invention discloses a multi-physics field coupling high-resistance fault self-healing protection method, equipment and a medium. The method comprises the following steps: collecting multi-physics field coupling data and carrying out standardization processing; a multi-field coupling robust threshold value is generated based on the standardized multi-field coupling data, and the fault condition is further identified and judged; analyzing a fault condition based on a digital twinborn technology, inverting fault point data and performing multi-field cooperative adaptive arc extinction control; and self-healing recovery of robust optimization driving is carried out. According to the method, the dynamic protection threshold value is generated through a method of fusing time sequence prediction and robust optimization, wide-range fluctuation of new energy output and load can be automatically adapted, the problem that the misjudgment rate of a fixed threshold value is high when the system operation state changes is solved, and the dynamic adaptability of protection is improved; a model prediction control dynamic optimization active compensation strategy is adopted, the residual voltage and the residual current of a fault point can be actively restrained within a preset safety threshold value, and secondary accidents such as electric shock and mountain fire caused by incomplete arc extinction are avoided.

The invention discloses a shoulder operation rapid rehabilitation regulation and control system combined with an analgesia path, and the system firstly collects signals in real time through a multi-mode physiological sensing network, constructs a shoulder dynamic function spectrogram reflecting pain and functional states, and recognizes a functional abnormality core region; then, a targeted drug infusion system is controlled, and a personalized analgesia path matched with the physiological response of the object is generated in combination with a multi-physics field coupling model and a model prediction control algorithm; thirdly, calculating the comprehensive rehabilitation confidence coefficient for quantifying the rehabilitation potential by analyzing the space-time correlation between the functional spectrogram and the analgesia path; and finally, based on the comprehensive rehabilitation confidence, generating a safe, effective and object-tolerant personalized rehabilitation training instruction set by using a multi-target rehabilitation optimization model, and driving rehabilitation equipment to execute. The method has the following advantages and effects: precise space-time matching and dynamic coordination of analgesia and rehabilitation training are realized, so that the rehabilitation efficiency and quality are remarkably improved on the premise of ensuring safety.

The invention discloses a neurosurgical operation scheme optimization method based on digital twinning and causal inference, belongs to the technical field of medical equipment and information processing, is suitable for radiofrequency thermocoagulation (RF-TC) treatment drug-refractory epilepsy (DRE) operation under the guidance of stereotactic electroencephalogram (SEEG), and comprises the following steps: constructing a patient specific calculation model (PSCM); integrating multi-modal data to establish a digital twinborn model covering anatomical geometry, organizational physical attributes, neurodynamics and radio frequency thermal coagulation multi-physics field coupling; an optimization scheme is generated based on a causal inference generative adversarial network (CI-GAN), the causal effect of candidate schemes is quantitatively evaluated through PSCM, and the curative effect and safety are optimized through adversarial training; fine adjustment of a doctor on an AI scheme is achieved through an interactive platform, a final scheme is determined by combining real-time feedback quantitative indexes of the PSCM, objective identification of an epileptic source area, precise prediction of lesion and man-machine collaborative optimization are achieved, and scientificity and feasibility of an operation scheme are improved.

The invention discloses an intelligent clothing design and template generation method and system, and relates to the technical field of clothing intelligent plate making, and relates to multi-physics field modeling, dynamic simulation, reverse optimization and iterative output technologys.The method comprises the steps that a biomechanical human body model containing skeletal muscle groups and a multi-physics field coupling model of initial clothing piece templates and fabric parameters are constructed; defining a target pressure curve; driving a human body to execute preset actions, and calculating a dynamic pressure field and a wrinkle discomfort index through explicit dynamics; constructing a loss function fusing the pressure goodness of fit and the wrinkle index, solving a gradient by using an adjoint method, and accelerating reverse optimization in combination with a physical information neural network agent model; the system comprises corresponding function modules, parameters can be automatically adjusted according to the motion posture, it is ensured that the dynamic pressure is always close to a target curve, and the functionality and comfort level of clothes are improved.

The invention discloses a micro-capsule wrapped high-stability active face cream preparation method based on digital simulation driving, and relates to the technical field of face cream preparation, the micro-capsule wrapped high-stability active face cream preparation method comprises the following steps: constructing a multi-physical field coupling simulation model, and importing skin microenvironment parameters, micro-capsule structure parameters and active component parameters; shell degradation, active molecule diffusion and stratum corneum permeation full-chain dynamic behaviors of the microcapsules on the skin surface are simulated through the model, and a release rate-absorption rate matching curve is output; reversely adjusting the capsule material components and the shell crosslinking degree of the microcapsules according to the curve; constructing a capsule material molecular dynamics simulation model, analyzing capsule material molecular chain degradation paths and key sites in different environments, and designing a capsule material molecular structure; and constructing a digital twinborn body, simulating and predicting raw material fluctuation influence, and adjusting preparation parameters. According to the method, the micro-capsule parameters, the capsule material molecular structure and the preparation parameters are regulated and controlled by combining multi-dimensional parameters through the synergistic effect of a multi-physical field coupling simulation system, a capsule material molecular dynamics simulation system and a digital twin three-stage simulation system.

The invention discloses an indoor environment control system, method and device and a storage medium, and relates to the technical field of environment control, and the system comprises a multi-mode sensor array which is used for obtaining data of a physical field, a physiological field and a behavior field in an indoor environment at the same time; the digital twin engine is used for generating three-dimensional transient environment-human body coupling prediction within second-level time; the multi-agent deep reinforcement learning controller is used for outputting an optimal action sequence of the equipment under the condition of meeting a'comfort-health-energy consumption 'combined constraint condition; the safety correction module is used for ensuring that the system action meets a preset safety boundary through a Lyapunov function; and the communication interface is used for interacting with a local device, an edge node or a cloud platform. The invention further provides a control method, various indoor environment parameters can be comprehensively, intelligently and efficiently adjusted, and the energy-saving, comfortable and personalized indoor environment control target is achieved.

The invention provides an intelligent ultrasonic body fat management system and method based on full-link data fusion, and relates to the technical field of digital health management. According to the system, an ultrasonic intervention module collects physical field coupling data and subcutaneous fat thickness data by utilizing a physical field sensing and in-situ measurement technology; the physiological monitoring module acquires whole body metabolic behavior data by using a physical sign tracking technology; the fusion decision module constructs a full-link fusion data set by using a space-time alignment technology, and identifies a dominant factor through a causal analysis algorithm to generate a feedback control instruction; and the execution response module analyzes the instruction by utilizing a self-adaptive control technology and generates physical field modulation output and interaction strategy window output. Through multi-dimensional data fusion and attribution closed loop, precise management from treatment perception and behavior tracking to software and hardware cooperative regulation is realized, and the problems of process black box and data island in the prior art are solved.

The invention discloses a cold forging damage prediction method based on bidirectional LSTM, and relates to the field of equipment health management, and the method comprises the following steps: collecting real-time stroke data under a single stroke in real time based on an Internet of Things sensor, and forming original multi-modal time sequence data; according to the characteristics of different physical field signals, the damage sensitive characteristics of a single physical field are accurately extracted, meanwhile, based on cross-physical field triggering characteristics, the collaborative response relation between multiple physical fields when damage occurs is captured from the mechanism level, and the characteristic construction method deeply fuses multi-source heterogeneous information and highlights the coupling relation of the multi-source heterogeneous information, so that the multi-source heterogeneous information can be quickly and accurately analyzed. According to the method, the characterization capability of the feature sequence to early and weak damage is enhanced, and the model can accurately mine the damage precursor from complex multi-physics field coupling features in combination with the learning and key information focusing capability of a subsequent time sequence deep learning model, so that high-sensitivity and high-accuracy prediction can be realized in the early stage of damage initiation.

The application relates to the technical field of industrial fastener state detection, and aims to provide an industrial nail fastening detection system, which comprises the following modules: a reference parameter acquisition module, which is used for collecting reference topographic feature parameters and reference stress feature parameters in an initial fastening state of an industrial nail; an in-situ sensing matrix module, which is used for collecting real-time multidimensional physical quantity data by distributing a plurality of physical quantity sensors; a modal fusion analysis module, which is used for taking the reference topographic and stress feature parameters as joint anchor points, establishing a nonlinear deviation mapping between real-time data and the anchor points, and outputting a fastening state deviation tensor; and a twin comparison judgment module, which realizes high-confidence online monitoring of the fastening state of the industrial nail, can comprehensively capture the multi-physical field coupling changes in the loosening process, and effectively overcomes the problems of single sensing mode, missing feature correlation and detection time sequence fracture in traditional schemes.

The invention relates to the technical field of physics field physiotherapy, and discloses a waist and kidney composite physiotherapy device and method based on multi-physics field collaboration.The waist and kidney composite physiotherapy device based on multi-physics field collaboration.The waist and kidney composite physiotherapy device based on multi-physics field collaborationcomprises a cloth cover, a power interface formed in the top of the cloth cover and a female buckle arranged at the end, away from the power interface, of the cloth cover; the male buckles are symmetrically arranged on the bottom face of the cloth cover, the attaching mechanism is arranged in the cloth cover, and the physiotherapy mechanism is arranged at the bottom of the cloth cover. The attaching mechanism comprises a plurality of fixing plates which are arranged on the inner wall of the cloth cover in a linear array mode, adjacent fixing plates are rotationally connected, positioning blocks are arranged on the tops of the fixing plates, main lines are jointly arranged on the inner walls of the positioning blocks, the supporting plates are symmetrically arranged on the two sides of the fixing plates, and the rotating arms are arranged on the tops of the supporting plates. By arranging the attaching mechanism, the stability and comfort of the device when the device is used on the waist are improved, and the attaching performance of the device and the human body curve in the back physiotherapy process is improved.

The application discloses a kind of based on eyeball's electromagnetic wave conduction and scattering process calculation method and system, it is related to brain detection technical field, method adopts SegNet segmentation algorithm to realize eyeball tissue segmentation, compared with U-Net, while keeping the precision of anatomical features and dielectric parameters, its dynamic local-global feature interaction mechanism and space information reservation jump connection solve the problem that traditional ignores spatial correlation;In the solution of Maxwell equation, LRBFCM-PSM joint algorithm fuses dynamic hyperparameter optimization and multimodal feature engineering, improves convergence efficiency and calculation accuracy;SAR gradient adaptive grid processing is realized by KD tree algorithm, high gradient area is encrypted, low gradient area is sparse, and precision and calculation amount are balanced;Finally, Monte Carlo photon transport and electromagnetic field data are coupled, accurately simulate the energy absorption of electromagnetic wave in heterogeneous tissue, compared with single physical field simulation, reduce eyeball SAR error.

The invention discloses a reverse design method and system for a healthy residence toilet exhaust system, and relates to the technical field of building ventilation system design. Acquiring sample data of an air flow field, a temperature field and a pollutant concentration field corresponding to different design parameters; processing the sample data, and constructing a physical field rapid prediction model; based on the sample data and a prediction result of the physical field rapid prediction model, establishing a non-linear mapping relation agent model between design parameters and exhaust system performance indexes; according to the agent model, obtaining an optimal solution set meeting system performance indexes; and performing decision sorting on the optimal solution set by adopting a multi-objective decision model, and determining an optimal design parameter. According to the method, one-step multi-target and multi-parameter optimal exhaust system design is achieved; the problems of poor design precision, low efficiency, single parameter and the like of the forward design of the existing toilet exhaust system are solved, and the health and comfort of the air environment of the toilet are greatly improved.

This invention discloses a COMSOL-based method and system for dynamic simulation of the three-dimensional temperature field in microwave liposuction. The method comprises: Step 1, constructing a three-dimensional geometric model of the skin tissue-microwave liposuction antenna coupling system; Step 2, establishing a multi-physics coupling model, including bidirectional coupling of the electromagnetic wave-frequency domain physical field and the biological heat transfer physical field; Step 3, setting dynamic coupling boundary conditions, calculating and updating the blood perfusion rate in real time based on the current tissue temperature, and feeding it back to the heat transfer calculation in the next time step, thereby realizing the dynamic feedback coupling of electromagnetic heat generation and the temperature field; Step 4, using a transient fully coupled solver to jointly solve the electromagnetic wave-frequency domain physical field and the biological heat transfer physical field to obtain the spatiotemporal distribution data of the three-dimensional temperature field of the skin tissue during microwave liposuction. This invention achieves accurate simulation of the microwave liposuction process by introducing dynamic physiological parameters and bidirectional multi-physics coupling.

The application discloses a method for quickly determining parameters of an inductive conductivity sensor probe, belongs to the technical field of electromagnetic induction probes, and is used for parameter setting of an electromagnetic induction probe.The method comprises the following steps: based on the electromagnetic induction principle and the skin effect characteristics of an inductive conductivity sensor, a quantitative correlation between parameters is established by introducing a probe geometry-frequency comprehensive factor and a thermal-magnetic balance factor, and a multi-physical field simulation is combined to realize quick optimization of the probe parameters.Based on the probe geometry-frequency comprehensive factor and the thermal-magnetic balance factor, the quantitative correlation between the parameters is established through theoretical derivation, the parameters are quickly determined, the parameters such as the excitation frequency, the magnetic ring size, the spacing and the number of turns are matched in a coordinated manner, the sensor performance is stable, the parameters can be flexibly adjusted according to different detection objects and scenes, the applicability is wider, the parameter rationality can be verified before actual production through the introduction of a multi-physical field simulation verification link, and the research and development risk is reduced.

The invention discloses an optimization design method of a skin conformal antenna under fatigue reliability constraint. The method comprises the following steps: firstly, analyzing a skin conformal antenna structure and a service load thereof, identifying a main failure mode of the skin conformal antenna structure, representing and quantifying multi-source uncertainty such as a service environment, a composite material layering structure and material performance, establishing a performance simulation analysis model under multi-physics field coupling, and simulating performance response of the model under the action of multi-physics field coupling; the method comprises the following steps: firstly, simulating a skin conformal antenna, then, constructing a performance prediction model based on deep learning on the basis of a simulation result, then, establishing a skin conformal antenna integrated optimization design model under fatigue reliability constraint, finally, solving an optimal design variable by utilizing an intelligent optimization algorithm, and carrying out multi-physics field performance analysis on an optimized structure to verify an optimization effect. According to the method, key technical support is provided for aircraft design optimization and collaborative design of an electromagnetic and structural system, and reliable operation and high performance of the aircraft under complex working conditions can be ensured.

The invention provides an intelligent self-adaptive perineum moxibustion therapy system and method. The intelligent self-adaptive perineum moxibustion therapy system comprises a dynamic force field generation unit, a multi-physical field cooperation unit, a multi-modal physiological sensing unit and an intelligent closed-loop control unit, the intelligent closed-loop control unit is configured to execute the following closed-loop control logic: based on the subcutaneous blood perfusion signal, calculating a physiological response index representing tissue energy metabolism and microcirculation states in real time; based on the dynamic mechanical interaction signal, calculating a fascia debonding index representing viscoelasticity and debonding degree of fascia tissue in real time; a current strategy area is determined according to the real-time physiological response index and the fascia debonding index, a collaborative strategy vector corresponding to the current strategy area is called, and the collaborative strategy vector integrally defines a target parameter combination of a dynamic mechanical force field, an infrared radiation field, an airflow field and a sound wave field and a linkage relation of the target parameter combination; and according to the collaborative strategy vector, generating a control instruction to adjust each physical field parameter.

This invention provides a garment and monitoring method for visualizing muscle activation. The garment includes a main body made of elastic fabric that fits snugly against the wearer's body; at least one muscle activation indicator area disposed on the main body corresponding to the anatomical location of a specific target muscle group; and a smart color-changing material layer covering the muscle activation indicator area. The smart color-changing material layer undergoes reversible optical property changes in response to changes in the physical field generated during contraction or metabolism of the target muscle group. This technology utilizes the physical properties of materials to convert internal physiological signals into visible optical signals, possessing advantages such as zero energy consumption, no electronics, comfort and durability, low cost, and effective muscle activation feedback, and has high market premium potential. This smart garment based on novel materials not only enhances the user's exercise experience but also provides an innovative solution for the fitness and rehabilitation fields.

The invention discloses an intelligent guarantee method for operation reliability of a liquid conductive slip ring. By constructing and operating a multi-parameter sensing interface state evaluation model and an active regulation and control physical field intervention model, a state index and a regulation and control instruction which represent the health degree of the liquid metal interface are output in real time. And based on the state index, judging whether an instant regulation and control condition or a predictive regeneration condition is met or not through a dynamic decision and regeneration triggering mechanism, and further triggering online dynamic regulation and control or automatically starting an online regeneration process. And finally, deploying the intelligent support system integrated with the mechanism on an industrial control platform to form closed-loop management. According to the invention, the problems of one-sided state sensing, passive regulation and control and lack of predictability of maintenance in the prior art are solved, accurate evaluation, active intervention and predictability maintenance of the operation state of the liquid conductive slip ring are realized, and the operation reliability and the maintenance efficiency of the liquid conductive slip ring are remarkably improved.

The invention relates to the technical field of intelligent operation and maintenance of wind power generation equipment, in particular to a modular dry-type boost system regulation and control method and system based on multi-physics field perception. The method is applied to a dry booster station unit which is pre-integrated in a factory and integrally hoisted in a wind power generation tower. The method comprises the following steps: constructing a multi-physical field collaborative sensing network, and collecting temperature, vibration, humidity and electrical characteristic data in real time; performing state evaluation and fault risk prediction on the equipment by using a pre-trained digital twinborn health evaluation model; and according to the evaluation and prediction result, generating and executing a self-adaptive optimization control instruction for cooling, dehumidification, harmonic suppression and vibration control. Through deep integration state perception, artificial intelligence and optimization control, intelligent health management and self-adaptive safe operation of the boosting system in the closed complex environment of the tower drum are realized, and the reliability, the energy efficiency and the operation and maintenance intelligent level are effectively improved.

The invention discloses an eyeball-based electromagnetic wave conduction and scattering process calculation method and system, and relates to the technical field of brain detection, the method adopts a SegNet segmentation algorithm to realize eyeball tissue segmentation, and compared with U-Net, the calculation amount is reduced while the precision of anatomical features and dielectric parameters is maintained, and the accuracy of the electromagnetic wave conduction and scattering process is improved. A dynamic local-global feature interaction mechanism and spatial information retention jump connection solve the problem of ignoring spatial relevance traditionally; in Maxwell equation solution, the LRBFCM-PSM joint algorithm fuses dynamic hyper-parameter optimization and multi-modal feature engineering, and convergence efficiency and calculation precision are improved; sAR gradient adaptive grid processing is realized through a KD tree algorithm, a high-gradient region is encrypted, a low-gradient region is sparsified, and the precision and the calculation amount are balanced; and finally, Monte Carlo photon transmission is coupled with electromagnetic field data, energy absorption of electromagnetic waves in a heterostructure is accurately simulated, and compared with single physical field simulation, the eyeball SAR error is reduced.

The invention discloses a method for quickly determining probe parameters of an inductive conductivity sensor, belongs to the technical field of electromagnetic induction probes, and is used for setting the parameters of the electromagnetic induction probes. Quantitative correlation between parameters is established by introducing a probe geometry-frequency comprehensive factor and a thermomagnetic equilibrium factor, and rapid optimization of the probe parameters is realized by combining multi-physics field simulation. Based on a probe geometry-frequency comprehensive factor and a thermomagnetic equilibrium factor, a quantitative relation between parameters is established through theoretical derivation, rapid determination of the parameters is realized, parameters such as excitation frequency, magnetic ring size, spacing and number of turns are cooperatively matched, stable performance of the sensor is ensured, the parameters can be flexibly adjusted according to different detection objects and scenes, and the detection accuracy is improved. And by introducing a multi-physics field simulation verification link, the parameter reasonability can be verified before actual manufacturing, and the research and development risk is reduced.

The invention discloses a full-life-cycle air compressor balance training method and system based on photo-thermal circular motion, and belongs to the technical field of air compressor balance training.The method specifically comprises the steps that a photo-thermal field distributed in the annular direction is constructed based on a light source and a heat source array, physiological parameters of a trainee in the photo-thermal field are collected, and the physiological parameters of the trainee in the photo-thermal field are obtained; the method comprises the following steps: acquiring physiological parameters of a trainee, establishing an air compressor mapping model based on the physiological parameters, mapping the physiological parameters to a preset circular domain coordinate system by the air compressor mapping model through circular vector mapping, and adjusting the motion trails and parameters of a light source and heat source array according to the life cycle stage of the trainee. Controlling a light source and heat source array to perform circular motion training based on the gas machine mapping model; synchronized dynamic interaction of light, heat and the human body compressor state is achieved, multi-physical-field stimulation, full-life-cycle self-adaptive adjustment and real-time compressor modeling control can be completed in a single training system, and circumferential guiding of the flow direction of the compressor and dynamic balance of the whole body compressor are achieved.

The invention relates to a cableway full-life-cycle health management method and system based on multi-mode AI, in particular to the field of cableway full-life-cycle health management, and realizes high-fidelity and high-efficiency monitoring of running states of cableway electrical components through synchronous sensing and self-adaptive acquisition of multi-physics field data. Based on multi-modal feature fusion and a deep self-encoding technology, a health index capable of sensitively reflecting the overall degradation state of a part is constructed, a hybrid prediction framework of a physical model and a data driving model is combined, residual life accurate prediction with probability significance is generated, and the residual life prediction accuracy is improved by means of a digital twinborn environment. Closed-loop online optimization of a prediction model, active perception of a new fault mode and automatic expansion of a knowledge base are realized, so that post-maintenance and regular overhaul of an operation and maintenance mode are improved to accurate predictive maintenance based on states, the safety guarantee level and the operation economic benefits are remarkably improved, and the method is suitable for large-scale popularization and application. And the expert experience is converted into digital assets which can be continuously accumulated and iterated.

The application discloses an intelligent four-dimensional eye physiotherapy system and method, and relates to the technical field of eye physiotherapy.The system comprises a multi-source data acquisition module, a double-mode feature extraction module, an intelligent syndrome differentiation module, a physical field scheme decision module, a physiotherapy parameter dynamic programming module and a four-dimensional physiotherapy prescription generation module, wherein the intelligent syndrome differentiation module is used for carrying out multi-source information fusion on structured Chinese medicine symptom information, blood vessel quantitative features and thermal imaging quantitative features, and making a judgment based on a preset syndrome classification relationship; the physical field scheme decision module is used for determining a dominant physical field and at least one auxiliary physical field from a thermal physical field, a low-frequency pulse magnetic field, a specific spectrum light field and a micro-vibration sound field according to a current dominant Chinese medicine syndrome type; and the core design of multi-source information fusion and accurate syndrome type judgment is achieved, objective quantitative representation of Chinese medicine syndrome types and disease severity is realized, and a physiotherapy scheme is accurately matched with individual core pathogenesis.

The invention discloses a bionic energy field synthesis system and method based on a red stone needle composite conversion bridge and vascular harmonic targeting. The system comprises an intelligent waveform synthesis engine, a composite transduction and execution module and a multi-mode sensing and feedback module. According to the composite module, a red stone needle-graphene functional layer is combined on a piezoelectric substrate to serve as a core, and a far infrared and broadband mechanical vibration field is cooperatively output under electric driving by utilizing the intrinsic characteristics of materials. The system innovatively takes a measurable blood vessel harmonic resonance state as a target, and dynamically adjusts an output field through double closed-loop control (a physical field loop and a physiological harmonic loop), so that preset physical characteristics can be reproduced, and a physiological system can be effectively guided to be optimized to a healthy state; a bionic energy field which can generate targeted coupling with an in-vivo harmonic resonance system through active synthesis is realized for the first time, normal form upgrading from empirical external treatment to precise biophysical intervention is realized, and a core solution is provided for a new generation of precise and personalized physical treatment equipment.

The invention discloses a virtual reality-based 3D animation generation method, and relates to the technical field of 3D animation generation, and the method breaks through the limitation of traditional homogeneous modeling through dynamic voxelization representation of anatomical feature constraints, and achieves the precise mapping of organ heterogeneity structures. A multi-modal data space alignment mechanism is adopted to eliminate drifting of an instrument coordinate system, and space consistency of instrument-tissue interaction is guaranteed; a deformation-blood flow dual-channel coupling architecture is introduced to solve the problem of physical field cutting, so that cutting operation synchronously drives tissue displacement and hemodynamic response; meanwhile, an adaptive rendering strategy based on eye movement tracking is adopted, physical precision is maintained, computing resource allocation is optimized at the same time, and overhead of full-scene high-precision computing is avoided.