317 results about "Smart material" patented technology

The invention discloses an intelligent material property prediction system based on a graph neural network, and the system comprises the following modules: a structure graph construction module which is used for analyzing material structure data and constructing a three-order tensor graph; the tensor graph coding module is used for inputting the third-order tensor graph into a multi-scale tensor graph neural network model to generate high-dimensional tensor node embedding representation; the asymmetric propagation module is used for constructing a directional tensor connection structure based on the high-dimensional node embedding representation and generating an updated feature representation; the model optimization module is used for inputting the updated feature representation into an improved eagle swarm search algorithm to generate optimal configuration; the multi-target prediction module is used for loading optimal configuration and performing multi-target material property prediction; and the continuous learning module is used for identifying a deviation sample based on the prediction error, feeding back and updating the multi-scale tensor graph neural network model, and writing the model into a learning buffer area. According to the invention, multi-channel graph modeling and an improved eagle swarm search algorithm are fused, and an intelligent material property prediction system is constructed.

The invention relates to an electromagnetic shielding method and shielding system for power distribution, and belongs to the technical field of electromagnetic shielding. Comprising the following steps: establishing a shielding model corresponding to the shielded room according to volume data of the shielded room; simulating and positioning electromagnetic wave conditions in the shielded room in the shielding model; selecting key detection points; constructing a phase difference matrix; shielding requirements of different waveforms in the same frequency band are distinguished, leakage path positioning based on a waveguide equation is carried out, and a core leakage area and an auxiliary protection area are divided. According to the electromagnetic shielding method and shielding system for power distribution provided by the invention, the dynamic adaptability of electromagnetic shielding and the detection capability of transient electromagnetic pulses are remarkably improved, and a multi-dimensional risk quantification and differentiation reinforcement strategy is realized. Meanwhile, intelligent materials and a dynamic optimization mechanism are adopted, the material utilization rate and the protection effect are improved, and a reinforcing effect feedback closed loop is formed.

The invention discloses a building composite phase change material intelligent matching and optimizing method based on a large language model, and belongs to the technical field of building energy saving and intelligent material design. Basic thermophysical property data, building environment parameter data and user demand data are collected; a deep reinforcement learning technology is utilized to construct an intelligent model based on a deep Q network strategy, and generated data samples are integrated into a thermophysical property database; outputting a candidate material combination recommendation scheme by adopting a large language model; evaluating the candidate material combination recommendation scheme by using the semantic tag vector and a sorting engine to obtain a performance evaluation result; generating a performance evaluation report according to the simulation model; a multi-agent negotiation algorithm is adopted, cross-regional thermal control performance is optimized, a multi-dimensional performance comparison diagram and tuning suggestions are generated, correction information of designers is recorded, optimization is carried out, and feedback is provided in a self-adaptive mode. According to the method, the building composite phase change material combination is screened, cross-regional thermal control is optimized, adaptive schemes and suggestions are output, and the self-adaptive optimization capability of the system is improved.

The invention provides a wear early-warning intelligent material based on conductive core-shell micro-nano particles and a preparation method of the wear early-warning intelligent material, and belongs to the technical field of sensing materials. Conductive core-shell micro-nano particles are used as basic sensing function units to be doped into a polymer matrix to form a sensing layer, a three-layer structure material of a bottom residual life layer, a middle sensing layer and a surface self-lubricating wear-resistant layer is designed, and the material is prepared on a metal auxiliary surface. The surface self-lubricating wear-resistant layer is consumed in the wear process, so that the wear reaches the middle sensing layer, and the resistance of the middle sensing layer is obviously changed due to the damage of the conductive micro-nano particles as an early warning signal, so that the early warning information that the surface self-lubricating wear-resistant layer is worn out and friction pair parts need to be replaced in time is realized.

The invention provides a remote maintenance and intelligent inspection early warning management method and system for a weight meter, and relates to the technical field of intelligent measurement and monitoring, and the method comprises the steps: arranging a multi-source sensor array on a weighing mechanism to collect detection data, carrying out the three-domain conjoint analysis through an edge calculation unit, and extracting multi-dimensional coupling features; the remote monitoring platform establishes a multi-scale damage evolution prediction model based on deep learning to realize the prediction of microscopic crack propagation and macroscopic fatigue damage; an intelligent material is adopted to realize self-adaptive active compensation, and prediction-compensation-evaluation-optimization closed-loop control is formed. The operation reliability and the metering precision of the weight meter can be improved, and the service life of equipment is prolonged.

The invention discloses an integrated manufacturing and construction method for fabricated building components based on BIM and 3D printing, and relates to the field of building construction, and the integrated manufacturing and construction method comprises a model creation module, a component splitting module, a printing path planning module, a material preparation module, a printing manufacturing module, a component transportation and storage module, a site construction module, a simulation analysis module and a quality tracing module. Creating a three-dimensional model by using BIM software, and reviewing by using VR; splitting the components according to capabilities, and recording the components by using a block chain; a 3D printing path is planned, and dynamic adjustment is conducted in combination with sensing; preparing an intelligent material, and performing plasma activation pretreatment; multi-nozzle collaborative printing and holographic monitoring are realized; intelligent packaging, unmanned driving and intelligent storage are achieved; aR auxiliary construction is combined with a brain-computer interface; and through simulation analysis and quality tracing, the quality and efficiency are guaranteed. According to the method, model creation is accurate, and multi-technology optimization components are split, printed, transported and constructed; the intelligent material, the robot and the AR are used for improving the quality efficiency; simulation analysis and quality tracing guarantee reliability, and intelligentization and sustainable development of buildings are promoted.

This invention discloses a visible-light-responsive dynamically covalently cross-linked self-healing polyurethane and its preparation method, belonging to the field of self-healing materials technology. The material is prepared by reacting diisocyanate, long-chain diol, butanediol, trimethylolpropane, and a monool containing an azophenylboronic acid structure in a certain proportion at 60°C. This invention achieves visible-light-responsive self-healing of the polyurethane material by introducing a visible-light-responsive azophenylboronic acid structure into the polyurethane and utilizing the photoresponsive cis-trans isomerization of the azo structure to regulate the reversible breakage and recombination of the boron-oxygen hexacyclic ring. The visible-light-responsive dynamically covalently cross-linked self-healing polyurethane material prepared by this invention maintains high mechanical strength (16.47 MPa) while exhibiting a strength self-healing efficiency of 95.8% after 8 hours of visible light irradiation, showing broad application prospects in smart materials, anti-corrosion coatings, and other fields.

The invention discloses a rare earth metal polymer with multiple stimulation responsiveness and a preparation method thereof, two monomers SP and VTPY are mixed with methyl methacrylate (MMA) according to a certain proportion, a polymer skeleton Poly (VTPY-co-SP-co-MMA) is prepared through a free radical polymerization reaction, the polymer and Tb (Com) 3.2 H2O are further subjected to a coordination reaction according to a specific proportion, and the rare earth metal polymer with multiple stimulation responsiveness is obtained. The Poly-Tb (Coum) 3 with the stimuli-responsive discoloration characteristic is prepared by the aid of the method. The rare earth metal polymer with methyl methacrylate as a framework and rare earth terbium ions and spiropyran monomers as double emission centers is synthesized, has multiple stimulation response characteristics, provides a brand new strategy and possibility for development of rare earth-based multifunctional intelligent materials, and has wide application prospects. An innovative solution is provided for development of a thermal enhanced rare earth luminescent material, the thermosensitive fluorescence response performance of the material is greatly improved, and a new thought is provided for design of an intelligent temperature response type rare earth luminescent material.

The invention relates to a flexible hinge micro-displacement amplification mechanism, and relates to the field of intelligent material micro-driving. The device specifically comprises an input rod, a lever amplification structure, a flexible hinge and an output rod. By means of the lever amplification principle, amplification of infinitesimal displacement is achieved through elastic deformation of the flexible hinge and a two-stage lever amplification mechanism. The micro-displacement amplification mechanism not only eliminates parasitic displacement, but also has a high amplification coefficient and high amplification efficiency, and is suitable for the field of micro-driving of intelligent materials such as micro-electromechanical systems (MEMS), intelligent robots and medical instruments.

The invention relates to self-curing keratin 3D printing ink integrated with shear activation microcapsules and a preparation method of the self-curing keratin 3D printing ink, and belongs to the technical field of biological 3D printing and intelligent materials.The preparation method comprises the steps that high-molecular-weight soluble keratin powder is dissolved in a biocompatible water-based medium with the pH being 6.5-8.5, and after even mixing and defoaming are conducted, a keratin base solution is obtained; wrapping the core material in a corresponding shell to obtain a microcapsule with the average particle size of 1-10 microns; under the stirring condition, the microcapsules are evenly dispersed into a keratin base solution at the temperature of 0-8 DEG C until a uniform suspension system is formed, and the self-curing keratin 3D printing ink integrating the shear activation microcapsules is obtained. And the curing process of the ink is internalized in the printing behavior, so that the printing process is simplified, and the equipment cost and the operation difficulty are reduced. The cross-linking agent is effectively isolated, so that the ink can be stably stored for several weeks before printing without gelling, and the problem that double-component ink must be immediately used after being mixed is solved.

The invention provides an intelligent response nano-film and application thereof in waste lead-acid storage battery electrolyte recycling, and relates to the technical field of waste lead-acid storage battery electrolyte recycling, the intelligent response nano-film breaks through performance limitation of an existing film system through a specific intelligent material structure, and when heavy metal ions such as Pb < 2 + >, Fe < 3 + > and Cu < 2 + > enter the film, the intelligent response nano-film can be recycled, and the service life of the intelligent response nano-film is prolonged. The metal ligands are combined with metal ions to cause local shrinkage or closing of pore channels, so that the active defense and intelligent blocking effects of blocking heavy metals are achieved; and when SO4 < 2-> and H < + > pass through the channel, membrane pore channels are kept in an open state, so that rapid acid flux (namely the amount of substance passing through the membrane layer in unit time) of sulfuric acid is realized. The intelligent response nano film has a programmable aperture of a polymer liquid crystal network and an intelligent response valve mechanism of metal, and selective separation of heavy metal and sulfuric acid is realized by stimulating reversible adjustment of an induced film structure.

The invention belongs to the field of intelligent materials, and discloses a nematic phase liquid crystal elastomer fiber and a method for optimizing the thermal shrinkage performance of the nematic phase liquid crystal elastomer fiber. According to the method, the mass ratio of a cross-linking agent pentaerythritol tetra (3-mercaptopropionate) (PETMP) to a chain extender 2, 2 '-[1, 2-ethanediyl bis (oxygen)] bis (ethanethiol) (EDDET) in an LCE spinning solution is accurately controlled through a wet spinning technology, and drafting and heat treatment processes are combined, so that the LCE fiber with adjustable and controllable heat shrinkage performance and mechanical performance is prepared. The invention aims to overcome the limitations of low response speed, low shrinkage rate, insufficient environmental stability and the like of the existing LCE fiber. The reversible thermal shrinkage rate of the fiber can reach up to 35%, the maximum shrinkage deformation can be completed within 2 seconds at the soonest at the temperature of 80 DEG C, and the maximum tensile strength can reach 170 MPa. And the catalyst has excellent oxidation stability (the mass retention rate is about 97%), and can maintain efficient thermal response in a water environment. And a new way is provided for development of high-performance intelligent materials.

The invention provides an imidazo [1, 2-alpha] pyridine stimuli-responsive molecule with a D-A twisted structure as well as a preparation method and application of the imidazo [1, 2-alpha] pyridine stimuli-responsive molecule, belongs to the technical field of intelligent materials, and is used for solving the technical problem that intelligent materials for developing stimuli-responsive molecules for data encryption and information anti-counterfeiting are insufficient. The preparation method of the compounds N1 and N3 comprises the following steps: 2-aminopyridine and 2, 4 '-dibromoacetophenone are subjected to an amphiphilic reaction to obtain a compound a; the compound a and POCl3 are subjected to a Vilsmeier-Haack reaction, and a compound b is obtained; carrying out Suzuki coupling reaction on the compound a or the compound b and triphenylamine boric acid to obtain a compound N1 or N2; the compound N2 and malononitrile are subjected to a Knovenagel condensation reaction, and a compound N3 is obtained. The compound prepared in the invention has good fluorescence emission capability in a solution and a solid state and a grinding solvent acid / alkali stimulated fluorescence discoloration behavior, and can realize good data encryption and information anti-counterfeiting.

The invention provides a shear thickening damper applied to an automobile suspension and a control method of the shear thickening damper, and relates to the technical field of suspension dampers, the shear thickening damper comprises a suspension mechanism, the suspension mechanism comprises a rigid suspension, and a steering adjuster is arranged on the rigid suspension. Through collaborative design of the suspension mechanism, the damping mechanism and the protection mechanism, the comprehensive performance of the automobile suspension system is remarkably improved, the steering adjustor and the reinforcing arc frame dynamically adapt to different steering working conditions and road surface loads, the supporting stability is ensured, the power transmission efficiency is optimized through efficient meshing transmission of the crown gear rod and the gear rotating disc, and the service life of the automobile suspension system is prolonged. The tire grounding stability is enhanced through the adjustable gap design of the connecting ball rod, the damping coefficient and the pre-tightening force of the damping mechanism are adjusted in a self-adaptive mode through multi-stage buffering in combination with real-time sensor feedback, road surface impact is effectively absorbed, vibration transmission is reduced, and the protection mechanism is made of intelligent materials and a collapsible framework structure; and during collision, energy is absorbed according to a preset mode in a deformation grading manner, so that the passive safety is greatly improved.

Provided herein are mass focusing shaped charges and related methods useful for disrupting targets in either underwater or on land. The mass focusing shaped charges comprise an explosives shell having an explosives shell surface, wherein at least a portion is curved and defines an inner volume configured to contain an inner volume of fluid or a metal liner. A distal body is comprising a SMART material is positioned between the inner volume of fluid and a to-be-disrupted target. A conformable layer of explosives conforms to at least a portion of a surface of the explosives shell, the conformable layer of explosives configured for explosive initiation by a detonator. Upon explosive initiation the inner volume of fluid or metal liner is forcefully ejected to form a fluid or metal jet in a direction through the distal body and toward the target.

The present invention provides a semi-active tuned mass damper based on intelligent materials, comprising: a passive control part, an intelligent control part, a first-stage vibration reduction part, a second-stage vibration reduction part and a health monitoring part, wherein the intelligent control part uniformly controls the first-stage vibration reduction part, the second-stage vibration reduction part and the health monitoring part; the tuned mass damper of the present invention can achieve two-way vibration control of a building structure, real-time monitor the vibration responses of the tuned mass damper and the main structure, and start the semi-active control of the intelligent materials after the computer control system collects and analyzes data.

The invention discloses a reinforcement learning-based micro spring washer production parameter adaptive adjustment method, which comprises the following steps of S1, collecting and preprocessing multi-source data in a micro spring washer production process to form a multi-dimensional data set; s2, constructing a virtual simulation environment, and generating a preliminary adjustment strategy by using a reinforcement learning algorithm; s3, optimizing production parameters through a layered progressive self-adaptive reinforcement learning model; s4, monitoring and dynamically adjusting production parameters in real time by utilizing a sensing technology of an intelligent material; s5, monitoring and adjusting the topological structure of the system through a self-repairing topological network mechanism; s6, a self-evolution bifurcation control mechanism is applied, and key parameters are monitored and adjusted in real time; s7, predicting key parameters and product quality in real time by using a quantum cascade model prediction technology, and performing optimization adjustment; and S8, applying the optimized production parameters to actual production, and performing continuous verification and adjustment through a real-time feedback mechanism. According to the invention, self-adaptive adjustment and stable operation in the production process are realized.

The invention provides a flexible intelligent material driver output constraint control method considering butterfly-shaped hysteresis input for an output constraint flexible intelligent material driving system with butterfly-shaped hysteresis input, aims to realize high-precision control in different application scenes, and comprises the following steps of: on the basis of a traditional KP model, selecting a KP model; according to the invention, a new butterfly-shaped KP (Butterfly Kranoselskii-Pokrovskii, BKP) kernel is obtained through derivation, and the KKP (Butterfly Kranoselskii-Pokrovskii, BKP) kernel is used as a kernel of the KKP. A new BKP model is established to describe butterfly hysteresis in the flexible intelligent material driver by performing weighted stacking on the BKP core; an unknown time delay function in the system is approached by using a radial basis function neural network and a finite coverage lemma, and the time delay problem of the control system is solved; a high-gain K-filter is designed to overcome the problem that the state in the system cannot be measured, and the problem of output constraint control of the butterfly hysteresis system is solved by combining a barrier Lyapunov function and an adaptive dynamic surface output feedback control algorithm; a butterfly pseudo-inverse algorithm is designed, the requirement for solving a hysteresis inverse model is avoided, and butterfly hysteresis nonlinearity is weakened to a great extent. Compared with a traditional control scheme, the method has a better effect on tracking performance and tracking errors, the tracking errors are effectively reduced, the control precision is remarkably improved, and precise control over the intelligent material driving system is achieved.

A wearable interface system for controlling robotic systems is provided. The wearable interface is configured for bi-directional interaction between a human user (wearer) and a robotic platform. The system comprises a textile-based substrate incorporating smart materials, conductive threads, and a plurality of integrated sensors operable to acquire real-time physiological and biomechanical signals. One or more embedded microcontrollers operable to filter and interpret incoming signals, predict user intent, and generate control instructions for one or more robotic systems. The system may further include a bi-directional feedback mechanism comprising haptic actuators and smart material-based stiffness modulation components configured to respond to incoming signals from the robotic system and deliver tactile or structural cues to the user in real-time. The wearable interface may be integrated into a variety of garments.

The invention belongs to the field of luminescent materials, and relates to stimuli-responsive self-repairing fluorescent hydrogel. In particular to stimuli-responsive self-repairing fluorescent hydrogel as well as a preparation method and anti-counterfeiting application thereof. According to the method, firstly, hydrophobic anthryl fluorophore 9-anthracene methyl methacrylate is wrapped by an aggregate formed by a surfactant hexadecyl trimethyl ammonium chloride to form micelles, and then, a micelle solution and polymer monomers acrylic acid and zirconium chloride are subjected to free radical-initiated copolymerization to obtain the stimuli-responsive fluorescent hydrogel. The hydrogel has self-repairing capability and fluorescence stimulation response capability, and is expected to be applied to the fields of bionic intelligent materials and information.

The invention relates to the technical field of intelligent materials and structural dynamics, solves the technical problems that an existing tumbler structure is lack of self-continuous motion ability and depends on external energy, and particularly relates to a light-driven liquid crystal elastomer tumbler and a nonlinear dynamics control method thereof. Self-continuous swinging under illumination of certain intensity is realized by utilizing light response design of the liquid crystal elastomer and coupling of nonlinear restoring force, and application is performed by utilizing regular movement of the liquid crystal elastomer. The tumbler structure can generate a state alternating process from swinging out of an illumination area to swinging back to the illumination area under the condition of specific light source intensity, and the change amplitude of standing and inclining alternation can be changed by adjusting illumination parameters. According to the tumbler structure, the limitation problem of a traditional tumbler can be solved, the tumbler structure can achieve self-continuous movement under the condition that the tumbler structure does not depend on external periodic stimulation, and the application of the tumbler structure is expanded.

The invention discloses a ship low-frequency active control system and method based on an intelligent material and an adaptive algorithm, and relates to the technical field of ship vibration control. The remote monitoring management platform is in communication connection with an intelligent material layer module, a sensor network module, a self-adaptive controller module, a self-diagnosis module and a power supply module; the intelligent material layer module is used for sensing ship vibration by adopting an intelligent material and generating corresponding control force; the sensor network module is used for collecting ship vibration data in real time through sensors arranged at key parts of a ship. By integrating intelligent materials and a self-adaptive control algorithm, ship vibration can be sensed in real time, corresponding control force can be quickly generated, vibration can be effectively counteracted, and compared with a traditional passive control technology, the response speed is remarkably increased, the ship vibration can be responded in a shorter time, and therefore the safety and comfort of ship navigation are improved.

The invention provides a three-dimensional printing flexible surface dynamic deformation device and method based on a fractal structure, and belongs to the technical field of intelligent materials and flexible structures, and the device comprises a flexible surface unit created based on the fractal structure, a steering engine and a unit body connecting structure; the flexible surface unit is an N-level unit constructed based on a fractal structure; the method comprises the following steps: carrying out equilateral triangle basic gridding on a flattened target curved surface by adopting a first-level unit, and carrying out triangular hierarchical layout on a basic grid according to a Gaussian curvature and a conformal scaling factor of the target curved surface to obtain an initial gridding layout; and optimizing the rationalized gridding layout by adopting a multi-energy item optimization target to obtain an optimized gridding layout. The unit gaps are adjusted through layered splicing of the units, dynamic area changes are achieved, curvature differences are formed, and the problem that a traditional homogeneous structure is low in deformation freedom degree is solved. Through the re-layout of the units after fractal classification, the fitting precision of the complex curved surface is improved.

The invention provides a preparation method of pH / ROS double-response drug-loaded microspheres, a microneedle system and a method for optimizing the microneedle system, and belongs to the technical field of crossing of biomedical engineering and intelligent materials. The preparation method of the pH / ROS double-response drug-loading microspheres comprises the following steps: mixing chitosan, 4-hydroxyphenylboronic acid pinacol ester, polyethylene glycol diacrylate and dialdehyde polyethylene glycol, emulsifying, and carrying out chemical crosslinking, so as to obtain the pH / ROS double-response drug-loading microspheres. According to the pH / ROS dual-response drug-loading microsphere provided by the invention, targeted precise drug release of an inflammation site can be realized; the core-shell structure layered microneedle system has a shell layer-transition layer-core layer three-dimensional structure, so that sequential controlled release can be realized; according to the method for optimizing the microneedle system, reverse optimization of the preparation process can be achieved, and an individualized treatment scheme can be predicted.

The invention relates to a multistage self-anchoring flexible deep brain electrical stimulation electrode and a preparation method thereof, and relates to the technical field of medical instruments. A bionic root system-octopus whisker composite framework including a main electrode base, a second-stage fractal arm and a third-stage self-anchoring tail end is adopted, intelligent materials such as carbon nano tube / PDMS composite fibers, temperature-sensitive PNIPAAm hydrogel and a degradable PLGA-gelatin composite material are fused, and a mechanical lock catch and biological fusion dual-anchoring mechanism is constructed. The distributed electrode array comprises platinum-iridium alloy, graphene / PDMS and a titanium nitride nano electrode, and cross-scale stimulation from the nuclear group level to the single cell level is achieved. The intelligent regulation and control system solves the problems of brain tissue displacement and chronic inflammation through a pressure feedback degradation and flexible interconnection technology. Compared with a traditional product, the contact area of the electrode is increased by 5-8 times, the stimulation precision reaches the single cell level, and the electrode is suitable for long-term deep brain stimulation treatment of nerve diseases such as Parkinson's disease and epilepsy and has remarkable clinical application value.

The invention discloses a photoresponse biomass-based material for removing organic-inorganic combined pollution in water as well as a preparation method and application of the photoresponse biomass-based material. The preparation method specifically comprises the following steps: (1) designing a photosensitive functional monomer; (2) preparing a biomass macromolecular initiator; (3) preparing the photoresponse biomass adsorbent; and (4) preparing the photoresponse biomass-based intelligent material. The photoresponse biomass-based material prepared by the method is rich in raw material source, green and environment-friendly, can be used for adsorption of composite pollutants (such as heavy metal / organic matter composite pollution and the like) in the environment, and can simultaneously realize desorption of the pollutants, photocatalytic degradation of the pollutants and regeneration of an adsorbent under the illumination condition; the defects that the traditional adsorbent regeneration process is complicated, secondary pollution is easy to generate, the repeated utilization rate of the adsorbent is low and the like are effectively overcome, and wide application prospects are achieved.

The invention discloses an anisotropic carbon nanotube / polyimide composite film material and a preparation method thereof. The preparation method comprises the following steps: preparing a polyamide acid solution, preparing a carbon nanotube / polyamide acid solution and preparing an anisotropic carbon nanotube / polyimide composite film. The piezoelectric spraying technology adopted in the invention can effectively prevent the filler from agglomerating in the polymer, significantly improve the uniformity of the film, and endow the composite film with unique mechanical properties and conductive characteristics in different directions. The technology has the advantages of simple operation, high material utilization rate, easy realization of large-area preparation and the like. The preparation process of the anisotropic film can be simplified, and the production cost is remarkably reduced. And anisotropic composite films with different materials and functions can be designed and prepared according to the adjustment of piezoelectric spraying parameters, so that the application performance of the films in sensors, flexible electronic devices and intelligent materials is improved.

The invention discloses a liquid crystal elastomer structure multi-objective optimization method based on depth evolution mapping. According to the method, by constructing a mapping model from individual features to operator parameters, an optimization algorithm can adaptively adjust the intensity of crossover and mutation operations according to the position, fitness ranking and neighborhood features of each candidate solution in a search space, so that the local refining effect is enhanced while the global exploration capability is kept. Compared with an existing parameter adjusting method based on a unified parameter strategy or population statistics, the method has the advantage that self-adaptive optimization of an individual level is realized. The method belongs to the cross technical field of computational material science, intelligent optimization algorithms and structural design, can be applied to the performance optimization problem of intelligent material systems such as soft robot drivers, artificial muscles and flexible sensors, and can also be popularized to other engineering design scenes involving high-dimensional parameter space and multi-target tradeoff.

The invention relates to the technical field of medical instruments, in particular to a tanning intelligent electronic chest strap used after a cardiothoracic surgery based on artificial intelligence, and a method comprises the following steps: based on a tanning intelligent electronic material, a sensor is embedded in the chest strap, and a sensor array detects biological data such as electrocardio, heartbeat, respiration and body temperature of a patient in real time; the embedded sensor array collects the biological signals in real time, and transmits the signals of the sensor sequence to the AI intelligent analysis platform through the Bluetooth device. The intelligent chest support has the advantages of high quality, comprehensive monitoring and intelligent adjustment, the tanning electronic material, namely the intelligent material with high flexibility, high air permeability and biodegradation resistance, is adopted, the comfort and safety of long-time wearing are ensured, the material has the self-adaptive adjustment characteristic, dynamic adjustment can be performed according to the postoperative recovery condition of a patient, the optimal chest support is ensured, and the intelligent chest support is suitable for popularization and application. The wearing comfort is improved, skin allergy and compression injury are reduced, the biocompatibility is enhanced, and the intelligent monitoring device is suitable for being worn after long-term postoperative rehabilitation and intelligently monitoring various vital sign changes after the operation.

The invention discloses a thermochromic microcapsule, a textile and a preparation method and application of the thermochromic microcapsule, and belongs to the technical field of material science and intelligent materials. Cesium tungsten bronze CsmWnO3 nanoparticles are used as photo-thermal particles, a bi-stable thermochromic compound is used as a core material, urea resin doped with the photo-thermal particles is used as a wall material, a bi-stable thermochromic CsmWnO3 doped microcapsule is prepared, then the bi-stable thermochromic CsmWnO3 doped microcapsule is used as coloring particles, and the photo-thermal composite material is prepared. And printing to obtain the high-sensitivity bistable thermochromic textile. The bistable thermochromic textile prepared by the invention has high color-changing sensitivity, the color-changing range comprises dark green, light green, medium green, yellow green, brown soil, grey green, loess, bright green, black, light grey, medium grey, deep grey, red soil, blue and red, and the bistable thermochromic textile has wide application in aviation, chemical industry, medical treatment, handicrafts, printing and dyeing and anti-counterfeiting product preparation.