152 results about "Smart material" patented technology

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 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 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 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 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 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 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 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.

The invention discloses a self-repairing heat dissipation wheel based on a double-response intelligent material and a preparation process thereof, the wheel adopts a three-layer gradient composite structure and a double-trigger control system, and the three-layer structure comprises a self-repairing layer, a transition interface layer and a heat dissipation layer from outside to inside; the surface of the self-repairing layer is provided with a diamond dot matrix, and the inner side of the self-repairing layer is provided with a heating sheet; the transition interface layer is formed by explosive welding of titanium and aluminum; the heat dissipation layer comprises an aluminum alloy base body, a composite phase change material, a directional heat dissipation micro-channel, heat dissipation fins and a micro electromagnetic valve. The double-trigger system comprises a sensing module, a control module and a power supply module. The preparation technology comprises the steps of alloy preparation, explosive welding, heat dissipation structure machining, vacuum diffusion welding, phase change material vacuum infusion, function integration and the like. Micro-damage self-repairing and efficient heat dissipation are achieved, it is guaranteed that the structure is stable and matched with working conditions, the service life of wheels is prolonged, driving safety is improved, and light weight and high strength are both considered.

1. The name of the design product: the graphic user interface of the interface design software for electronic equipment. 2. The use of the design product: an electronic equipment. 3. The design points of the design product: the interface content of the graphic user interface in the screen. 4. The picture or photo that best indicates the design points: the front view. 5. The use of the graphic user interface: for measurement and observation after data import in the intelligent material design system. The front view is the initial interface of the software.

A 4D printing intelligent structure design method based on a convolutional neural network comprises the following steps: parametric modeling and data generation: controlling finite element software through a script to construct a'material parameter field-target deformation field 'sample data set in batches; data preprocessing and geometric standardization: uniformly converting a complex design domain into a standard rectangular domain by adopting a conformal mapping technology, and realizing high-fidelity standardization of physical field data; constructing a U-Net + ResNet hybrid convolutional neural network, and combining with composite loss function training to synchronously optimize global and key region deformation prediction precision; performing standardization processing on the new design after model deployment to realize second-level high-precision deformation prediction; the physical space design is restored through inverse mapping, multi-material 4D printing manufacturing is driven, and a deformation verification closed loop is completed. According to the method, the limitation of complex geometric boundaries is broken through, the nonlinear and multi-physics field coupling characteristics of the intelligent material can be accurately represented, and the practicability of the scheme is ensured by the constructed'design-prediction-manufacturing 'integrated process.

1. Name of the product in this design: Intelligent Material Cabinet. 2. Purpose of this design: for storing and retrieving materials. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key features: the front view. 5. The bottom view is for parts that are not easily seen during use, so the bottom view is omitted. 6. Other situations requiring explanation: Part A is made of transparent material.

The application discloses a reinforced concrete structure rust-expansion cracking self-repairing method, and relates to the technical field of intelligent materials and structures, which comprises a hollow steel bar filled with repairing microcapsules and a brittle trigger window preset on the surface of the hollow steel bar, a targeted repairing behavior for simulating a concrete crack, precise breaking of the brittle plug under crack stress and release of repairing components to realize instant sealing of the crack, and a crack sensing and positioning method based on the technology. The application realizes trigger type self-repairing and intelligent monitoring of rust-expansion cracks, realizes the whole process of release of the repairing agent triggered by crack stress to crack healing, realizes directional migration behavior of the repairing agent to the crack side, and has the advantages of targeting, high efficiency and sensing compared with the traditional method of randomly mixing repairing capsules in concrete.

The application relates to the technical field of adaptive optics and intelligent material application, and discloses a liquid lens continuous zooming method and system based on programmable control, which comprises the following steps: temperature adjustment is performed on a phase change container to switch the phase change container from a glass state to a high-elasticity state; the volume of an optical medium is adjusted to drive the phase change container in the high-elasticity state to deform until the phase change container reaches a target optical appearance; temperature adjustment is performed on the phase change container to switch the phase change container from the high-elasticity state back to the glass state to lock the target optical appearance, and passive self-locking of the focal length is realized. Through the combination of the glass transition characteristics of the shape memory polymer and the precise regulation and control of the volume of the optical medium, the continuous zooming and passive self-locking of the liquid lens are realized, the problem that the traditional liquid lens needs to continuously consume electric energy to maintain the focal length is effectively solved, and the optical appearance precision and long-term stability of the lens in a complex environment are ensured.

The application discloses a preparation method of a temperature-ultraviolet light double response type functional polymer, specifically comprising the following steps: preparing a macromolecular initiator PEG2-ABCPA; preparing a p-styrylmethyl diethanolamine borate monomer VMAB; and performing a free radical polymerization reaction on the macromolecular initiator PEG2-ABCPA, the p-styrylmethyl diethanolamine borate monomer VMAB and 7-(4-vinylbenzyloxy)-4-methyl coumarin VBC to obtain a block copolymer, i.e. the temperature-ultraviolet light double response type functional polymer. The polymer not only has unique amphiphilic properties, but also exhibits double response to temperature and ultraviolet light, thereby showing wide application prospects in the fields of drug controlled release, intelligent materials, photoelectric devices and the like.

The invention discloses an adsorption material screening method and system for transfer learning auxiliary material genome design, and belongs to the technical field of intelligent material design and high-throughput screening. The method comprises the following steps: S1, collecting an adsorption material data set of a source domain and a target domain, wherein the adsorption material data set comprises structural parameters, adsorption performance and environmental condition information; s2, establishing a prediction model for a source domain, constructing a transferable feature subspace through maximum mean difference (MMD) and KL divergence analysis, comparing and verifying cross-domain advantages of transfer learning compared with direct training, and adopting random sampling and grouping demonstration to ensure model stability; s3, screening a common framework structure of the source domain and the target domain; s4, designing and optimizing a functional group combination based on material genomics, and generating a target adsorbent design scheme; and S5, synthesizing a preferable material and testing the adsorption performance of the preferable material. According to the method, the limitation of a traditional trial and error method is broken through, cross-system knowledge reuse is achieved through transfer learning, directional development of a high-performance adsorbent is guided in combination with material genome design, and an intelligent solution is provided for adsorption material research and development in the fields of environmental governance, resource recovery and the like.

Presented are passive temperature control systems for thermal management of electrical components, methods for making / using such thermal management systems, and aircraft equipped with smart-material activated temperature control systems for passive cooling of battery modules. A thermal management system is presented for passively cooling an electrical component stored inside a module housing. The thermal management system includes a cooling chamber that movably attaches adjacent a module housing that contains an electrical component, such as a rechargeable battery module. The cooling chamber contains a sublimable cooling agent, such as dry ice. A biasing member biases the cooling chamber away from the module housing. A smart material actuator is attached to and interposed between the cooling chamber and module housing. The smart material actuator extracts thermal energy from the module housing and, once heated to a phase transformation temperature, contracts and thereby pulls the cooling chamber into contact with the module housing.

The invention belongs to the field of advanced pipe plastic processing and intelligent material application, discloses a pipe bending forming method based on a multi-dimensional gradient distribution magneto-rheological elastomer, and aims to solve the problems that an existing single-dimensional MRE cannot adapt to the pipe bending multi-area rigidity requirement, and the inner side wrinkles, the outer side wall thickness is reduced and the like due to the fact that a device is not provided with a special regulation and control module. The method comprises the following steps: preparing an axial (transition section-bending section magnetic particle gradual increase) and radial (center-circumference magnetic particle gradual change) multi-dimensional gradient MRE core mold, filling a pipe, and cooperatively optimizing a magnetic field and pressure through a fuzzy-PID (Proportion Integration Differentiation) algorithm by using a device comprising a non-magnetic component and a peripheral electromagnetic coil in combination with axial pressure, magneto-rheological rigidity and centrifugal force formula control parameters; the method can efficiently restrain forming defects, is suitable for high-strength, thin-wall and small-bending-radius pipes, and improves the forming quality and efficiency.

The application discloses an intelligent response type alkali-activated concrete and a digital twin design and 4D printing method, and belongs to the technical field of building materials and intelligent construction. The concrete has three-dimensional non-uniformly distributed functional materials inside, and the functional materials include intelligent response microcapsules with a four-layer structure of "core-shell-membrane-lubricating layer" and a hydrophobic agent. The application builds a new technology paradigm of "digital twin driven design, intelligent material creation, 4D printing precise construction, and whole-cycle intelligent management", realizes the precise distribution and dynamic regulation of the performance of the concrete material in the component according to needs, time and place, and synchronously solves key problems such as printing rheological regulation, microcapsule protection, interlayer penetration and sensor longevity, so that the durability, safety and service life of the concrete structure in a complex environment are greatly improved, and the application is suitable for long-life infrastructure engineering in extreme and harsh corrosive environments such as cross-sea bridges, undersea tunnels and saline-alkali land buildings.

The invention discloses a magnetic-temperature dual-response micro-curl body based on micro-channel shrinkage molding and a preparation method and application thereof, and belongs to the technical field of micro-nano manufacturing and intelligent materials. According to the method, a two-dimensional compression force field is generated by shrinking a micro-channel, a two-dimensional thin film is induced to be curled into a three-dimensional microstructure, and controllable preparation of the micro-curled body is achieved. The obtained micro-curl body integrates magnetic response and temperature-sensitive characteristics, can realize targeted drug delivery through magnetic field navigation and photo-thermal triggering, and has a wide application prospect in the field of biomedicine. The method is simple in process, low in cost and suitable for batch production, and a new thought is provided for intelligent microcarrier development.

The invention provides a thermal response microcapsule and a preparation method thereof and a composite carbon sequestration gel material, and belongs to the technical field of mineral-based carbon dioxide sequestration materials, the thermal response microcapsule comprises a core layer and a shell layer, the core layer comprises a calcium ion complexing agent solution, the shell layer is made of a heat-sensitive material, and the melting point of the heat-sensitive material is 40-90 DEG C. The microcapsule disclosed by the invention does not need to be interfered by any external control signal, and the exothermic heat of the carbonization reaction is used as a trigger signal, so that accurate and on-demand release of the retarder is realized. The release behavior is only limited to an outer layer area with an overhigh reaction rate, so that the characteristics of an intelligent material are shown, and the passive intelligent response mechanism greatly simplifies the process control and enhances the robustness of the technology.

The hip bone protection composite material with the invisible wearing feature comprises, from the impact surface to the skin surface, in sequence: a sensing enhancement layer composed of modified three-dimensional spacer fabric loaded with shear thickening fluid, the fiber surface of the three-dimensional spacer fabric is subjected to lyophobic modification treatment to form reverse capillary resistance to STF carrier liquid, and the contact angle θ is greater than or equal to 110 degrees; and a bionic buffer layer composed of artificial cartilage bionic energy absorption material and having a microporous structure; wherein the sensing enhancement layer and the bionic buffer layer are combined through dot matrix gluing or ultrasonic welding, and the edge thickness of the composite material decreases linearly or nonlinearly from the center to the periphery to form a gentle slope structure with a thick center and a thin edge. The invention combines the shear thickening technology and the bionic energy absorption technology to solve the contradiction of traditional protective equipment in the aspects of 'protection-thin-breathability', and provides an intelligent material with an ultra-thin thickness, a normal softness and an impact instantaneous hardening.

The application discloses a novel dimer-induced AIE smart material and application thereof, and a preparation method thereof, which comprises the following steps: mixing 4-methyl phthalic anhydride, 2-hydrazinyl benzothiazole and glacial acetic acid to react, and obtaining the novel dimer-induced AIE smart material. The novel dimer-induced AIE smart material is used as a probe to detect triethylamine and dichloromethane. The novel dimer-induced AIE smart material is used as an emission probe to quantitatively detect Zn 2+ . The novel dimer-induced AIE smart material can be used for on-site evaluation of freshness of beef and shrimps, and can be used for detection of Zn 2+ in a biological system.

The invention provides unilateral functionalized column [5] arene, a metal supramolecular polymer constructed by coordination and orthogonal assembly of the unilateral functionalized column [5] arene and metal through host-guest interaction and application of the unilateral functionalized column [5] arene. The invention designs and synthesizes a unilateral functionalized column [5] arene DNBP5 with a novel structure. The molecule simultaneously contains a column [5] arene cavity capable of generating subject-object interaction with a guest molecule and a pyridine group capable of generating coordination interaction with metal ions. DNBP5 is used as a subject, disulfide bond connected bilateral secondary ammonium salt modified G-2SNHP is used as an object, silver ions are used as metal ions, and the metal supramolecular polymer is obtained through orthogonal assembly in a chloroform solution through subject-object interaction and metal coordination interaction. The polymer can form thermal response type gel when the concentration in chloroform is greater than or equal to 100 mM, the phase transition temperature is 45-50 DEG C, and the polymer has a reversible sol-gel conversion behavior, so that the polymer has a wide application prospect in the field of stimulation response intelligent materials.

The invention discloses a self-adaptive impact-resistant protection device for a polyurethane hose, and relates to the technical field of hose protection, the self-adaptive impact-resistant protection device comprises a polyurethane hose, an outer sheath connecting extension section, a magnetorheological fluid self-adaptive damping assembly and an energy supply and sensing assembly, the outer sheath connecting extension section is of an annular structure, and the magnetorheological fluid self-adaptive damping assembly is connected with the outer sheath connecting extension section; through system-level cooperation of the magnetorheological fluid self-adaptive damping assembly and the energy supply and sensing assembly, the two functions of physical shielding and working condition adaptation which are independent of each other in a traditional polyurethane hose protection device are deeply fused on the physical level; wherein the magnetorheological fluid self-adaptive damping assembly establishes an electromechanical self-consistent closed loop of impact sensing, magnetic field regulation and control and protection state switching through millisecond-level phase change and intelligent material characteristics with controllable shear yield stress; the problem that a traditional protection device is constant in rigidity and delayed in response, so that fatigue caused by bending of the polyurethane hose is limited, and a polyurethane hose body is directly damaged by impact is solved fundamentally.