242 results about "Smart material" patented technology

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.

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 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 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 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 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 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.

Described herein are compositions and uses for an adaptive polymer system. Components of the polymer are used to balance smart behavior around an environmental trigger point with desirable material properties and formulation additives. The APS allows engineering of smart materials and products with desired smart behaviors and material properties on both sides of the trigger point for that behavior. When applied to solvent-based polymer gels, the APS allows for precise control of cloud point behavior and material properties that enable a range of consumer, biomedical, and industrial applications.

The invention discloses an intra-spinal anesthesia catheter device with a temperature compensation function, and relates to the technical field of medical instruments. The intra-spinal anesthesia catheter device comprises an anesthesia catheter body, the anesthesia catheter body comprises a thermoplastic elastomer and a shape memory polymer, and the thermoplastic elastomer wraps the outer side of the shape memory polymer. The intraspinal anesthesia catheter has the beneficial effects that through combination of an innovative intelligent material system and an active closed-loop control technology, the traditional contradiction that the rigid requirement and the soft safety of the catheter cannot be achieved at the same time in intraspinal anesthesia is fundamentally solved. The method has the primary advantage that the dynamic programmable adjustment of the mechanical property of the catheter is realized.

The application discloses a multifunctional solid-solid phase change material based on thiolactone chemistry and a preparation method and application thereof, and relates to the technical field of high polymer materials.The method comprises the following steps: dissolving double bond functionalized thiolactone and acrylic ester in an organic solvent A, then adding a free radical initiator, and obtaining a polymer PTA through reaction; dissolving the PTA in an organic solvent B, then adding a fatty amine, a fatty acrylic ester and a crosslinking agent, uniformly mixing, and obtaining a mixed solution; and heating the mixed solution to 60-80 DEG C, and reacting for 1-2 hours, so as to obtain the solid-solid phase change material.The solid-solid phase change material prepared by the application exhibits the multifunctionalities of infrared invisibility, reversible anti-fake and shape memory, etc.The integration of these characteristics provides a broad prospect for the development of the next generation of high-performance intelligent materials.

The invention relates to the technical field of industrial automation, and discloses a steam-water sampling water sample flow and temperature double-parameter automatic control device which comprises a first vertical through pipe and a second vertical through pipe which are parallel and spaced, and the first vertical through pipe is connected between a pipeline outlet of a pressure reducing valve in a steam-water sampling pipeline system and a pipeline inlet of cooling equipment. The second vertical through pipe is connected to a discharging branch pipe of the cooling equipment in parallel. The flow regulating valve structure is arranged in the first vertical through pipe and comprises an adjustable valve chip set and an outer driving assembly; the intelligent material driving mechanism is arranged in the second vertical through pipe and serves as a temperature feedback control point, the intelligent material driving mechanism comprises an LCE intelligent material part and a mechanical transmission mechanism, and the mechanical transmission mechanism is connected between the LCE intelligent material part and an outer driving assembly in the flow adjusting valve structure to form a feedback transmission link; flow and temperature double-parameter automatic cooperative control is achieved, response is fast, water sample flow and temperature can be stabilized, water sample abnormity is avoided, and detection reliability is improved.

The invention discloses a conductive particle reinforced elastomer self-sensing driver which comprises a liquid crystal elastomer matrix and conductive particles, the conductive particles form a continuous or semi-continuous conductive network in the matrix, and the invention relates to the technical field of soft robot driving and intelligent materials. According to the conductive particle reinforced elastomer self-sensing driver and the preparation method thereof, the conductive particles serve as a heating element and a sensing element at the same time, an external temperature sensor or displacement sensor is not needed, the system structure is greatly simplified, resistance feedback directly corresponds to a deformation state, heat conduction delay is bypassed, and intelligent compensation is conducted in combination with a neural network. The conductive particles are uniformly distributed, the local hot spot problem of the resistance wire is avoided, the conductive particles and the LCE substrate are physically / chemically combined, no mechanical interface exists, compared with an embedded metal wire, the conductive particles have relatively small influence on the rigidity of the LCE, excellent flexibility is kept, and the LCE is suitable for the face of an expression robot and other applications needing to be attached to the skin.

The invention relates to liquid metal-based dual-network magnetic hydrogel as well as a preparation method and application thereof. The hydrogel comprises dual-network hydrogel and magnetic Fe3O4 nanoparticles loaded in a network structure of the dual-network hydrogel, the double-network hydrogel comprises a first network structure and a second network structure, wherein the first network structure is a network structure formed by polymerizing a liquid metal coated sodium alginate chain, and the second network structure is a polyacrylamide network structure formed by polymerizing an acrylamide monomer; the mass ratio of the liquid metal to the magnetic Fe3O4 nanoparticles is (0.5-2): (0.5-1.0). Compared with the prior art, the composite hydrogel not only can effectively shield electromagnetic radiation, but also has good intelligent magnetic responsiveness, and the application prospect of the composite hydrogel in the fields of intelligent materials, sensors, electromagnetic shielding and the like is widened.

The application discloses a giant electro-rheological fluid capsule, a preparation method thereof and application of the giant electro-rheological fluid capsule in a rigid-flexible matrix digital controllable intelligent material, and belongs to the technical field of novel intelligent materials. The giant electro-rheological fluid capsule comprises: an inner core composed of a giant electro-rheological fluid; an organic shell layer wrapping the inner core; and a surface modification layer located outside the organic shell layer; wherein the surface modification layer is a siloxane layer formed through a silanization reaction and capped by a low-surface-energy substance. The application also provides a preparation method thereof. Compared with the prior art, the application reduces the surface energy of the shell layer, improves the wettability and compatibility with non-polar external phases such as silicone oil, inhibits secondary coagulation and electrostatic agglomeration, reduces dielectric loss, and obtains more stable long-term rheological properties while guaranteeing response speed and yield stress.

This invention belongs to the field of industrial manufacturing and resource optimization technology, specifically involving a smart material batching optimization method for iron towers based on a two-layer genetic ant colony algorithm. The method includes: first, acquiring the parameters of raw materials and components for the iron tower; grouping them according to material specifications to construct a material batching optimization problem; generating an initial population using multi-strategy greedy initialization; generating preliminary solutions by combining pheromone guidance and heuristic information from the ant colony algorithm; then completing genetic evolution through elite retention, tournament selection, crossover, and multi-strategy mutation; and finally forming a two-layer collaborative optimization framework through constraint repair and pheromone updating, ultimately outputting the optimal material batching scheme. This invention combines global ant colony search with local genetic optimization, effectively overcoming the shortcomings of single algorithms such as being prone to getting trapped in local optima, slow convergence, and premature convergence. It can significantly improve raw material utilization, reduce surplus material and the number of material units used, and is more robust and efficient in multi-material, multi-specification iron tower batching scenarios. Compared with traditional methods, material utilization is greatly improved, effectively reducing enterprise production costs and providing reliable technical support for the intelligent upgrading and efficient resource utilization of iron tower manufacturing.

The invention discloses a buoy type platform based on an intelligent material and a structure self-recovery method thereof, the platform adopts an isosceles triangle-shaped buoy type structure, and the method comprises the following steps: S1, collecting platform structure real-time response data; s2, constructing a response driving type attitude offset function; s3, acquiring an excitation temperature rise condition required by the shape memory alloy execution unit to execute recovery change; s4, calculating offset recovery stress of the platform structure; and S5, recovering the platform structure, and detecting the recovered platform structure in real time. According to the method, the shape memory alloy execution unit and the functionally graded material are arranged, the response quantity corresponding to the float-type platform is used as input data, the closed-loop control method from float-type platform structure deviation risk identification to self-recovery is constructed, deviation data can be obtained in real time, deviation structure self-recovery is carried out, regular manual inspection is not needed, and the operation efficiency is improved. And the offset trend of the platform structure can be monitored in real time, and the problem of lack of an automatic monitoring and dynamic adjustment mechanism is effectively solved.

According to one method, a computer-implemented method includes sending one or more instructions to apply an initial influencing factor to a smart material of a 4D object. In addition, the 4D object is configured to deliver the one or more particles from the starting location to the target location along the delivery path in response to the initial influencing factor being applied to the smart material. One or more instructions are also sent to monitor movement of the 4D object along the delivery path in response to applying the initial influencing factor to the smart material. In response to determining that the 4D object has deviated from the delivery path, one or more instructions are further sent to dynamically weight the initial influencing factors applied to the smart material using one or more machine learning models.