139 results about "Self repair" patented technology

The invention discloses an intelligent management system and method for knowledge graph quality evaluation and self-repairing, belongs to the technical field of knowledge graphs, and aims to solve the problems that in traditional knowledge graph management, manual auditing efficiency is low, an effective automatic repairing means is lacked, and data complexity and real-time changes are difficult to deal with. The system firstly collects multi-source heterogeneous data in a target field, cleans the data through a deep learning noise recognition model, extracts entities and relationships by using a natural language processing technology, and adds metadata to convert the entities and relationships into graph structure data; then, a graph framework is defined based on the ontology, entity semantic alignment is achieved in combination with a graph neural network, and a knowledge graph is constructed by complementing implicit relations with the help of a pre-training language model. Then, the quality of the atlas is quantitatively evaluated through a four-layer quality evaluation system, meanwhile, a repair scheme is generated based on vulnerability feature extraction, knowledge base matching and decision fusion, and intelligent self-repair is achieved; the map can be monitored in real time and evaluated regularly, a repair strategy and a knowledge base are optimized through reinforcement learning, it is ensured that the map is kept accurate and time-efficient for a long time, and the practical value is improved.

The invention relates to a power equipment self-repairing surge protection system based on artificial intelligence, and the system is characterized in that a surge detection module is connected between a live wire and a protection ground wire of power equipment, collects voltage and current data, and transmits the data to an artificial intelligence analysis unit; and the artificial intelligence analysis unit extracts the surge characteristic parameters, generates protection strategy parameters through a deep neural network, and controls the trigger thresholds of all levels of protection devices in the programmable protection circuit. The programmable protection circuit comprises a gas discharge tube capable of adjusting trigger voltage, a metal oxide varistor and a transient voltage suppressor diode, and is used for discharging surges with different energies step by step. The resettable fuse cuts off the circuit when the temperature exceeds a threshold value and recovers conduction after the temperature is reduced. And the controller receives and applies the protection strategy parameter output by the artificial intelligence analysis unit, and dynamically adjusts the trigger threshold value of the protection device, so that the response and protection performance of the system to the surge is improved, and the self-repairing and stable operation of the power equipment are realized.

The invention provides a self-adaptive safety self-healing system based on artificial intelligence, and aims to improve the safety protection capability and the self-repairing capability of an information system. The system comprises a client Agent module, a secure transmission module, a data analysis and anomaly detection module, a self-healing strategy management module, an execution module and a monitoring display module. The client Agent module collects data such as system logs, network flow and resource use, and predicts resource changes through a long short-term memory (LSTM) network model. And the secure transmission module adopts a TLS protocol and a block chain technology to ensure the integrity and security of the data. And the data analysis and anomaly detection module identifies threat behaviors through an Isolation Forest algorithm and a deep learning technology, and automatically generates a security event report. And the self-healing strategy management module generates a self-adaptive repair scheme based on an AI analysis result, and the system realizes efficient anomaly detection and self-healing repair through intelligent analysis and self-adaptive adjustment, and is suitable for dynamic security protection in a complex network environment.

The invention discloses a preparation method of modified self-extinguishing insulating oil with flame-retardant and self-repairing functions. Wherein the insulating liquid is mixed oil of mineral oil and palm oil-based modified natural ester, and the inherent high flash point characteristic of the natural ester improves the fireproof safety of the insulating oil. The modified hexagonal boron nitride (h-BN), the magnesium hydroxide nano material and the microcapsule repairing agent are added into the insulating oil, and the h-BN can capture free electrons in the oil, so that the formation and expansion of electric arcs are inhibited, and the breakdown voltage is improved. Magnesium hydroxide is heated to decompose and absorb heat, the fault temperature is reduced, and therefore the arc self-extinguishing effect is achieved. Under the action of a high electric field and a high temperature, the capsule wall of the microcapsule repairing agent is broken, meanwhile, the repairing material is released, a chemical reaction is carried out, and the insulating property of the insulating oil is repaired. The modified insulating oil prepared by the invention has high insulating strength and high flame retardance, and also has a performance self-repairing function, so that the service life of the insulating oil is prolonged.

The invention relates to the field of high polymer materials, and discloses a high-wear-resistance elastomer sole material and a preparation method thereof.The material comprises an elastomer matrix and surface-modified boron nitride nanosheets; the elastomer matrix comprises a first dynamic network and a second dynamic network which are formed through crosslinking of dynamic covalent bonds, and the first dynamic network and the second dynamic network are based on different types of dynamic covalent bonds and have different dissociation activation energy barriers or external stimulus response conditions. The surface-modified boron nitride nanosheet and the second dynamic network form a selective interface enhancement effect; the preparation method comprises the steps of polymer functionalization, nanosheet surface modification, melt blending reaction net forming, forming and the like. The obtained elastomer sole material not only has excellent wear resistance and mechanical properties, but also can realize self-repair of graded response aiming at damages of different degrees, and the service life of the material is remarkably prolonged.

The invention discloses a logistics supply chain dynamic management method based on the Internet of Things, and relates to the technical field of logistics management, and the method comprises the following steps: constructing a radio frequency interference space fingerprint database, and recognizing an interference region and generating a radio frequency interference distribution map through collecting the emission frequencies, signal intensities and spatial distributions of a plurality of radio frequency identification read-write devices. According to the method, interference hotspots are accurately identified by constructing a radio frequency interference space fingerprint database and a distribution map, and signal conflicts and response failures are avoided in combination with dynamic tag gain and time sequence management. And the communication stability is monitored in real time, local adjustment and self-checking are implemented, and rapid abnormal response and self-repair are realized. Equipment deployment and transmitting power are optimized, interference blind areas are dynamically eliminated, identification stability and data accuracy are improved, logistics errors and risks are reduced, transparency and response capability of a supply chain are enhanced, intelligent and reliable logistics management is promoted, and anti-interference capability and overall operation efficiency of the system are improved.

The invention discloses a printed circuit board defect online full-automatic detection method and system based on data analysis, relates to the technical field of printed circuit board performance testing, and realizes comprehensive evaluation of circuit board performance through steps 1 to 4. By configuring a test system and setting test conditions, accurate installation and debugging of each test module are ensured; a power supply stability index Dyw, a power supply switching fault-tolerant index Qhrc, a thermal stress index Ryl, a mechanical stress index Mvz, an electromagnetic compatibility index Jrx, a resource contention index Zyzq and a self-repairing index Xfz are calculated, a comprehensive evaluation index Pc is obtained through associated calculation, performance evaluation is carried out, and whether the circuit board is qualified or not is effectively judged. And when the comprehensive evaluation index Pc is lower than a first performance threshold value X, generating a performance disqualification label, and performing in-depth grading evaluation through a second multi-stage evaluation module, thereby promoting identification of specific performance defects.

The invention relates to the technical field of welding, in particular to an intelligent welding control method and equipment for a gate, and the method comprises the following steps: collecting residual stress distribution data of a welding area of a gate structure in real time; performing effective screening on the residual stress distribution data, and extracting feature data segments to obtain residual stress distribution data of the welding area; based on the residual stress distribution data, whether stress abnormity exists in the welding area or not is judged, and the abnormal influence level is determined; when it is detected that stress abnormity exists in the welding area, reverse disturbance control is conducted on the basis of the abnormal influence level, the sampling frequency of the residual stress distribution data is synchronously increased, and effectiveness screening of the residual stress distribution data is relaxed; and the corrected welding effect data are fed back to a historical case database, and stress characteristics and optimization parameters of typical working conditions are stored. According to the method, the self-repairing capability of the material is excited in exception handling, and the defect of response lag of a traditional method is overcome.

The invention relates to the technical field of network operation and maintenance, in particular to a network health automatic diagnosis and closed-loop repair method and related products, and the method comprises the steps: establishing a dynamic health baseline; abnormal deviation of the real-time operation data is recognized; predicting the risk probability that the network equipment has an operation fault in the future; selecting and executing a corresponding repairing action; verifying whether the abnormal deviation is eliminated; if the abnormal deviation is not eliminated, continuing to execute repair until the abnormal deviation is eliminated or the maximum repair frequency is reached; according to the method, the accuracy and the foresight of network fault diagnosis are improved by deeply fusing the artificial intelligence algorithm into a network operation and maintenance scene, and the intelligent and autonomous management of the network is realized by introducing a closed-loop repair mechanism with autonomous learning and decision-making capabilities. And the reliability, the stability and the self-repairing capability of the whole network infrastructure are enhanced.

The invention relates to the technical field of high polymer materials, in particular to modified natural rubber and a preparation method thereof.The preparation method comprises the steps that S1, in the inert gas atmosphere, rubber and a dopamine solution are mixed and react to form a rubber system containing dopamine; s2, adding a ferric salt solution (such as a ferric chloride solution) into the rubber system containing the dopamine, stirring, gradually condensing and separating out, then washing with distilled water, and drying, so as to obtain the self-repairing modified natural rubber; the technical process is simple, preparation is easy, in the preparation process, dopamine is introduced, free iron elements are added into a system, reversible metal complex bonds are formed through the iron elements and dopamine molecules, and therefore when rubber is damaged, the iron elements and hydrogen bonds between rubber macromolecules act together, a synergistic self-repairing mechanism is formed, and the self-repairing performance of the rubber is improved. The self-repairing of the rubber material is realized, and the application requirements are better met.

The invention relates to the technical field of bridge engineering materials, in particular to an epoxy resin self-repairing material with dynamic covalent bonds for a large-span steel bridge deck and a preparation method of the epoxy resin self-repairing material. According to modified bisphenol A epoxy resin, flexible chain segments and rigid groups are introduced into an epoxy resin molecular chain, so that the toughness and heat resistance of the material are improved; the modified aliphatic amine curing agent and the modified epoxy resin matrix have good compatibility, the formed network structure is more compact, the hardness and the heat resistance of the material are improved, the dynamic covalent bond cross-linking agent adopts a furan-maleimide system containing Diels-Alder reaction, and the dynamic covalent bond cross-linking agent has good mechanical properties and mechanical properties. Wherein a furan group and a maleimide group can be subjected to reversible addition reaction under a mild condition to form a dynamic covalent bond, so that rapid and effective self-repairing of the material when the material is damaged is realized, the self-repairing material adopting the technical scheme has an excellent self-repairing function, a repairing process can be triggered without external stimulation, and the self-repairing material has a good application prospect. And the applicability is higher.

The invention relates to a non-container application arrangement method and device based on a Kubernetes CRI plug-in. The non-container application arrangement method comprises the steps that S1, description information of a non-container application is defined; s2, creating and starting a container; s3, configuration of a container; and S4, managing the patch of the container. According to the method, the original non-container application can be hosted to the Kubernetes cluster without modifying the original non-container application, and the characteristics of automatic deployment and expansion capability, health examination and self-repairing capability, monitoring and log collection capability, safety, isolation and the like provided by Kubernetes can be fully utilized, so that a developer is allowed to uniformly manage the non-container application and the container application; the operation and maintenance work can be simplified, the management efficiency can be improved, and after the non-container application is hosted, the Kubernetes can be utilized to dynamically schedule and allocate the resource capacity, and the resource use efficiency can be optimized.

The invention discloses a robot fault self-diagnosis system and method, relates to the technical field of robot fault diagnosis, and solves the technical problem of low automation degree of a robot caused by incapability of accurate self-diagnosis and self-repair of the robot in the prior art. The method comprises the following steps: collecting real-time operation data of a robot, and extracting real-time error logs and historical fault data from a database; the fault state of the robot is monitored according to the real-time operation data of the robot, a historical fault library is constructed based on historical fault data, the fault state is input into the historical fault library for matching, and mismatched faults, matched faults and corresponding matching repair methods are obtained. Different self-repairing methods are adopted for different faults, the historical fault library is updated, the repairing effect is monitored, and the matched repairing method is updated according to the repairing effect; and when the robot cannot complete self-repair, planning an optimal maintenance path and controlling to go to repair.

The invention relates to the technical field of spacecraft electronic systems, and discloses a satellite-borne computer multi-stage fault-tolerant starting method which comprises the following steps: step 1, a management FPGA (Field Programmable Gate Array) reads a starting source identification bit of a BIOSBOOT register, and selects a main BIOS (Basic Input / Output System) storage address or a standby BIOS storage address according to an identification bit value; 2, the management FPGA starts a BIOS level watchdog timer corresponding to the BIOS storage address, and the duration of the timer is configured by a BIOSWDT register; and 3, when the BIOS-level watchdog timer is overtime and does not receive the reset signal, the management FPGA modifies the starting source identification bit of the BIOSBOOT register, and a system reset signal is generated. According to the method, the management FPGA is taken as a core, and a double-BIOS redundant architecture and a multi-disk hot standby mechanism are combined, so that the problem of system startup single-point failure caused by BIOS firmware code bit flipping or startup disk physical damage is solved, autonomous fault-tolerant recovery of firmware and a storage medium is realized, and the defect that an existing single-BIOS single-storage-medium architecture cannot self-repair hardware failure is overcome.

The invention discloses a method for optimizing micro saw blade production by using a genetic algorithm. The method comprises the following steps: S1, establishing a virtual simulation environment; s2, parameter optimization is carried out in the virtual simulation environment, and a plurality of virtual production schemes are generated; s3, selecting an optimal scheme through high-dimensional topology hypersurface mapping and an asymmetric singular value perturbation technology; s4, applying the optimal scheme to actual production, and analyzing monitoring data by using a Schrodinger-Newman geometric gravitational field exceeding method; s5, when the deviation exceeds a preset threshold value, triggering a self-repairing mechanism, and performing optimization iteration again; s6, actual production parameters are adjusted based on the repairing scheme; s7, updating the digital twinborn model in real time to reflect the latest production condition; s8, analyzing historical data in combination with a machine learning algorithm, and optimizing future production parameter setting; and S9, circularly executing the steps S4 to S8 to achieve the production optimization target, the precision of the micro saw blade production process is improved, and continuous optimization and stability of the production quality are ensured.

The invention discloses an artificial grass yarn with a self-repairing function and a preparation method and application thereof.The artificial grass yarn is prepared from, by weight, 75-95 parts of linear low-density polyethylene, 5-25 parts of linear high-density polyethylene, 3-6 parts of color master batch, 3-6 parts of reversible cross-linked polymer, 1-3 parts of initiator, 2-5 parts of anti-aging additive and 1-3 parts of processing additive, the mass of the reversible cross-linked polymer accounts for 2-6% of the total mass of the artificial grass, and the mass ratio of the reversible cross-linked polymer to the initiator is 2: 1. After the interior of the material is damaged, the material can be self-repaired, and the service life of the material is prolonged.

A battery management method for intelligent diagnosis and adaptive debugging comprises the following steps: S1, initialization configuration: when a system is started, automatically reading and setting the type, capacity and maximum discharge current of a battery as basic parameters through a built-in initialization program; s2, self-calibration: reading voltage, current and temperature data of the battery unit by a sensor, and automatically adjusting deviation; s3, real-time monitoring: continuously monitoring various parameters of the battery, and identifying abnormal conditions; s4, performing fault prediction and self-repair; s5, cloud platform connection: the BMS is connected to a cloud server through Wi-Fi or a cellular network and uploads real-time data for remote monitoring; s6, OTA updating; and S7, visual debugging. According to the invention, system debugging can be automatically completed in the installation and operation process, the battery state is monitored in real time during operation, and the reliability and efficiency of the system are improved.

The invention relates to the field of floors, and particularly discloses a floor with a self-cleaning function and a preparation method.The floor comprises a main body layer, the top face of the main body layer is sequentially provided with a self-cleaning coating, an anti-fouling protection layer, a repairing function layer and a surface layer, and the self-cleaning coating is a nano composite coating; the anti-fouling protection layer is a polyurethane resin and super-hydrophobic substance mixed coating, the repairing function layer is a polyurethane resin and microcapsule mixed coating, repairing components are contained in microcapsules, the surface layer is a mixed coating of polyester resin, wear-resistant particles and an anti-ultraviolet additive, and the surface layer is a polyurethane resin and super-hydrophobic substance mixed coating. The floor with the self-cleaning function has the super-hydrophobic function, the self-cleaning function, the antifouling function, the wear-resisting function and the self-repairing function, and the high-performance requirement for the floor in the modern home and commercial environment is met.

The application provides an emulsion thickener with acid recovery stability and a preparation method thereof, and relates to the technical field of thickener.The raw materials of the emulsion thickener include polymerized monomers, emulsifiers, initiators, crosslinking agents, water and structural additives; the polymerized monomers include first monomers and second monomers, the first monomers are alpha, beta-unsaturated acid monomers, the second monomers are alpha, beta-unsaturated ester monomers, and the structural additives are polypeptides including polar amino acid residues.The emulsion thickener with acid recovery stability can quickly recover to the viscosity in the alkaline condition and gradually increase when the system changes from the alkaline condition to the acidic condition, effectively improves the response rate of network reconstruction, and realizes the self-repairing function.The preparation method of the emulsion thickener with acid recovery stability is simple and easy to operate, has good stability, and can be implemented in industrialization.

The invention relates to a fast latch based on logic isolation. The fast latch comprises a transmission gate module which adopts a plurality of transmission gates controlled by clock signals to transmit input signals to corresponding generation nodes. The generation module is used for generating a feedback node signal by adopting a plurality of mutually connected phase inverters; the feedback module is used for receiving feedback node signals and feeding back each feedback node signal to a corresponding generation node by adopting a cross feedback loop, and in a normal working state, when a clock signal is at a high level, the fast latch works in a transparent mode; when the clock CLK is at a low level, enabling the fast latch to work in a holding mode; and when a single node or double nodes are overturned, the quick latch is self-repaired. According to the latch, logic isolation is realized through a cross feedback loop, and soft errors can be repaired and correct data can be stored even if a radiation event occurs; the fast latch can provide complete DNU elasticity, and has a faster speed and a smaller area.

The utility model discloses a wear-resistant automobile cover which comprises an automobile cover body, the automobile cover body comprises a self-repairing layer, an ultraviolet-proof layer, a waterproof layer, a heat dissipation layer and a bottom cover, and the self-repairing layer, the ultraviolet-proof layer, the waterproof layer, the heat dissipation layer and the bottom cover are sequentially arranged from top to bottom. The self-repairing layer is a polyurethane coating containing chitosan and an oxetane structure, the bottom cover is made of polyester fibers, and by arranging the self-repairing layer, when the surface of the coating is scratched, the annular structure of oxetane in the self-repairing layer is broken and can generate chemical reaction after being exposed, and when ultraviolet light irradiates, the surface of the coating is not damaged, so that the surface of the coating is not damaged. The exposed tail ends of the chitosan and the oxetane in the coating attract each other and are combined together to repair the annular structure, so that the self-repair of the damaged part of the coating is realized, and the wear resistance and the practicability of the automobile cover are improved.

The invention discloses a material for improving impervious and self-healing functions of concrete and a preparation method of the material. The material is prepared from 8-10 parts of polypropylene fibers, 30-35 parts of a magnesium expansion material, 30-35 parts of an active low-carbon cementing material, 10-15 parts of a mineral admixture active exciting agent, 3-5 parts of sodium carbonate, 1-2 parts of calcium formate, 3-5 parts of a catalyst and 1-2 parts of a penetration enhancer. The polypropylene fiber is monofilament or reticular modified polypropylene fiber, the length is 6-19mm, and the diameter is 18-48; the active low-carbon cementing material is one or more of granulated blast furnace slag micro powder or I-grade fly ash; the catalyst is an aluminate compound and is used for accelerating the reaction process of active substances, calcium ions and water. The water penetration resistance of the concrete is remarkably improved by exciting the activity of the active low-carbon cementing material in the concrete, pores and cracks in the concrete can be effectively filled, and the self-repairing and healing capacity of the concrete is improved.

The utility model discloses water conservancy pipeline anti-corrosion coating equipment which comprises a water pipe body and connecting ends, the two ends of the water pipe body are fixedly connected with the connecting ends, external threads are arranged on the outer surfaces of the connecting ends, and the outer surfaces of the connecting ends are in threaded connection with protection rings and fastening bolts through the external threads respectively. The nanometer protection layer, the light reinforcing layer and the natural protection layer are arranged, the nanometer ceramic coating is arranged in the nanometer protection layer, the nanometer technology is adopted, the coating has high hardness and good corrosion resistance, the abrasion resistance of the water pipe can be remarkably improved, the glass fiber reinforced plastic material is arranged in the light reinforcing layer, and the natural protection layer is arranged in the light reinforcing layer. The natural protective layer has good corrosion resistance, light weight and high strength, the weight of the pipeline can be reduced, the mounting efficiency is improved, the interior of the natural protective layer is made of clay, an additional protective layer is provided for the pipeline by utilizing the corrosion resistance of natural clay, and meanwhile, the natural protective layer has certain self-repairing capacity.

The purpose of the present invention is to provide a material that has higher strength and / or bioadhesion after self-repair and is obtained by using an elastin-like polypeptide.　Provided is a composition comprising: a polypeptide that has an amino group and comprises an elastin-like block peptide sequence including a G sequence block comprising (SEQ ID NO: 1:X1GGX2G)n (wherein: X1's are the same as or different from each other and each independently represent V or L; X2's are the same as or different from each other and each independently represent V or L; and n represents an integer of 4 or more) and a P sequence block comprising (SEQ ID NO: 2:VPGX3G)m (wherein X3's are the same as or different from each other and each independently represent an arbitrary amino acid residue, and m represents an integer of 5 or more); and a water-soluble polymer having an aldehyde group.

The invention belongs to the technical field of high polymer materials, and discloses a waterborne polyurethane elastomer capable of efficiently self-repairing at room temperature as well as a preparation method and application of the waterborne polyurethane elastomer. The waterborne polyurethane elastomer comprises a cationic waterborne polyurethane prepolymer molecular chain of a diketone ligand group. The thermal excitation temperature needed by self-repairing of the waterborne polyurethane elastomer is low, repairing can be achieved at the room temperature, the repairing time is short, and the repairing efficiency is high.

The utility model discloses a high-strength graphite electrode, which belongs to the technical field of graphite electrodes and comprises a graphite electrode body and a connector, internal threads are respectively arranged at two ends of the graphite electrode body, a first external thread is arranged on the connector, a second external thread is arranged on the connector, a vertical groove is arranged on one side of the connector, and the vertical groove is connected with the graphite electrode body. A groove is formed in the graphite electrode body, an inner core of the graphite electrode body is a graphite electrode layer, the outer side of the graphite electrode layer is wrapped with a self-baking electrode, reinforcing ribs are uniformly distributed in the self-baking electrode, and the outer side of the self-baking electrode is wrapped with a wrapping layer; according to the high-strength graphite electrode, the interlayer shear strength is improved through the carbon nano reinforcing ribs, under the action of the vertical grooves and the grooves, stress is dispersed, the service life is prolonged, the weight of the graphite electrode body of the hollow structure is reduced, hot melting is reduced, the self-baking electrode has a self-repairing function, the consumption of the electrode is reduced, and the service life of the electrode is prolonged. And the anti-oxidation service life is prolonged through the coating layer of the amorphous carbon layer.

The utility model discloses a multifunctional body patting machine, which belongs to the technical field of traditional Chinese medicine massage and comprises a cabinet body, a limit groove is arranged on the front side of the cabinet body, a moving rod is arranged in the limit groove, a driving mechanism for driving the moving rod to move up and down is arranged in the cabinet body, and a protective cover is arranged at the end of the moving rod. A first motor is arranged in the protective cover, a rotating disc is arranged below the first motor, and a flapping bag is arranged on the outer side of the rotating disc. The height of the moving rod is adjusted through the driving mechanism, the motor is used for driving the rotating disc to rotate, and therefore the beating bag is driven to rotate to beat the human body, lasting beating can be achieved, force is even, and the defect of manual beating is overcome; the patting machine is used for patting meridian points of the whole body of the human body, clogging of all parts of the human body can be quickly removed, the immunity of the human body is improved, the self-repairing capacity is enhanced, and chronic diseases are eliminated.

The invention discloses a special cementing material for anticorrosive concrete and a preparation method of the special cementing material, and relates to the technical field of building materials. The cementing material is prepared from the following components in parts by mass: 1 to 4 parts of candy pomace, 15 to 25 parts of tailings, 0.5 to 1.5 parts of a water reducing agent, 8 to 18 parts of furnace slag, 25 to 35 parts of novel low-calcium clinker, 3 to 9 parts of white mud, 2 to 6 parts of micro-plastic, 3 to 8 parts of titanium gypsum and 15 to 25 parts of aluminoferrite cement clinker, the mineral composition of the novel low-calcium clinker comprises 40%-50% of dicalcium silicate, 25%-30% of calcium sulphoaluminate, 3%-8% of calcium sulphosilicate, 3%-8% of tetra calcium aluminoferrite, 8%-15% of calcium sulfate and 1%-5% of free calcium oxide. A large amount of industrial solid waste is consumed, and the method has the advantages of being low in carbon, environmentally friendly and low in cost; through the synergistic effect of micro-expansion, close packing, conductive retardation and self-sealing carbonization, efficient comprehensive protection against various corrosion factors is achieved; the self-repairing and self-compacting capabilities are realized, so that the service life of a concrete structure in a harsh environment is remarkably prolonged.

The invention, which relates to the technical field of the cable, discloses a waterproof and moistureproof composite cable for a vessel, comprising an inner core and a protection mechanism for self-repairing a corrosion position, and the protection mechanism is successively provided with an inner protection layer, a repairing layer and an outer protection layer from inside to outside. In the use process of the cable, through the protection mechanism, firstly, three protection layers made of different materials are arranged, so that the corrosion condition can be reduced after the cable is corroded by saline water, and infiltrated water stains can be repaired through the internal protection layer when the cable is inevitable or corroded, so that the service life of the cable is prolonged. And meanwhile, the air holes of the inner protection layer are blocked to prevent subsequent water stains from entering, and the generated holes are blocked by utilizing the temperature generated by the inner core, so that a self-repairing effect is achieved, and continuous permeation of the water stains is avoided.

The invention discloses a hybrid nano self-repairing agent and a preparation method thereof, anti-friction lubricating grease and application, and belongs to the field of mechanical lubrication.The preparation method of the hybrid nano self-repairing agent comprises the steps that firstly, composite nano metal particles CoCuAg are synthesized; 2, the surface of CoCuAg is coated with a SiO2 / Al2O3 nano inorganic modified coating, and a CM composite material of a core-shell layer structure is obtained; 3, placing the CM composite material in a mixed solvent of deionized water and absolute ethyl alcohol, and adding polyvinyl alcohol to obtain a surface modified CM solution; ethyl cellulose, sodium dodecyl benzene sulfonate and polyvinylpyrrolidone are added into the surface modified CM solution, and a prepolymer CM solution is obtained; heating the prepolymer CM solution, adding methyl acrylate, methyl methacrylate, benzoyl peroxide and divinyl benzene, and reacting to obtain the organic / inorganic hybrid PCM nano self-repairing agent. The invention provides lubricating grease specially designed for industrial mechanical friction equipment. The lubricating grease has excellent wear resistance and excellent self-repairing capability.