99results about How to "Quick migration" patented technology

The invention provides a railway knowledge question answering method and device based on a natural language model, and relates to the technical field of natural language processing, and the method comprises the steps: obtaining a railway business question; inputting the railway business question into a pre-trained railway natural language large model to obtain an answer corresponding to the railway business question; wherein the railway natural language large model is obtained by pre-training a natural language large model based on a railway natural language sample library and performing supervised fine tuning on the pre-trained natural language large model; the natural language sample library is formed by labeling data in a railway natural language knowledge base; the railway natural language knowledge base is formed by classifying and storing railway business data. Through the method provided by the invention, the railway natural language large model with professional knowledge question-answering ability is trained and generated, and the efficiency and accuracy of railway knowledge question-answering are improved; and related problems of text application scenes in the railway field are solved.

The invention discloses an intelligent recommendation method and system for an industrial process monitoring model, and the method comprises the steps: firstly, solving a problem that industrial time series data lacks visual features; extracting data set features of each case from four aspects of general statistical features, distribution shape features, task related features and exogenous knowledge embedding by adopting a data set feature engineering method; secondly, designing a mapping relation learning strategy based on width learning, mapping the data set feature of each case with the corresponding model score vector, and thus endowing the width learning network with the capability of predicting the model performance; and finally, providing a triple increment strategy for driving multiple increment demands of an industrial scene, and designing an updating strategy of a wide learning network for monitoring case increment, candidate model increment and recommendation node increment respectively, thereby continuously expanding and enhancing the recommendation capability of the method. According to the method, the detection model with the optimal performance can be recommended for the industrial process.

The invention discloses a data migration and upgrade method based on multi-node parallelism. The method comprises the following steps: S1, data acquisition; s2, generating a task table; s3, node scheduling; s4, task scheduling; s5, executing a data storage task; according to the method, the coupling relationship among multidisciplinary data types is separated, and the data upgrading and migration operation is executed in parallel by adopting multiple nodes, so that the exploration data of the new and old GeoEast systems are quickly upgraded and migrated, and the security and the robustness of the data of the large seismic exploration system are improved. According to the method, heterogeneous data can be quickly migrated and upgraded, and the security and the health of data of a large seismic exploration system are improved; the method is suitable for the seismic exploration industry, and is used for quickly upgrading and migrating exploration data of new and old GeoEast systems.

The invention provides a solid electrolyte for a lithium battery and a preparation method and application thereof, and belongs to the technical field of solid electrolytes.The solid electrolyte is prepared from, by mass, 40-75 parts of lithium salt, 10-30 parts of cross-linking agent, 5-25 parts of nanoscale silicon borate glass fiber and 1-10 parts of photoinitiator. The lithium salt, the cross-linking agent, the nanoscale silicon borate glass fiber and the photoinitiator are adopted as raw materials, a polymer component formed after ultraviolet curing has high mechanical performance, a stable electrolyte-electrode interface can be formed, growth of lithium dendrites can be effectively inhibited, the risk of short circuit of the battery is reduced, and the service life of the battery is prolonged. Therefore, the overall safety of the battery is improved, and the service life of the battery is prolonged. As an inorganic filler, the nanoscale silicon borate glass fiber is beneficial to reducing the crystallinity of a polymer component and increasing an amorphous phase region, so that rapid migration of lithium ions is facilitated, and the ionic conductivity and coulombic efficiency of the battery are improved.

The invention discloses a bipolar membrane and a preparation and use method thereof, the bipolar membrane comprises a cation exchange membrane, the cation exchange membrane comprises a base material and a cation exchange layer arranged on at least one surface of the base material, and sulfonic acid type ionic liquid is added in the cation exchange layer; the metal catalyst layer is arranged on one surface of the base material, so that the cation exchange layer and the metal catalyst layer are respectively arranged on two opposite surfaces of the base material; the anion exchange layer is arranged on the surface of the metal catalyst layer and comprises quaternized imidazole derivatives and quaternary ammonium type ionic liquid, and the quaternary ammonium type ionic liquid accounts for 25% or above of the weight of the imidazole derivatives. The method has the advantages of high acid and alkali production concentration, stable membrane structure, stable performance and the like, and is suitable for long-term and stable preparation of high-concentration acid and alkali.

The invention belongs to the field of data mining in deep learning, and particularly relates to a time series prediction system based on a causal relationship. The time series prediction method comprises a causal inference and enhancement algorithm suitable for time series data; a causal-frequency domain attention module based on a graph attention mechanism and Fourier transform; the invention discloses a decoder based on a multi-layer perceptron. According to the method, the modeling capability of the existing multivariable time sequence prediction method on the dependency relationship between the sequence variables and the feature extraction capability on the long-time sequence data can be improved, and the error of the prediction result is effectively reduced.

The invention provides a lithium supplement diaphragm, a preparation method thereof and a lithium ion battery, and relates to the technical field of lithium ion batteries. The lithium supplementing diaphragm comprises a base membrane and a lithium supplementing coating attached to at least one face of the base membrane, and the lithium supplementing coating comprises aluminum oxide loaded cobalt, a carbon nano tube and lithium sulfide. Aluminum oxide can remarkably improve the thermal stability of the diaphragm and inhibit shrinkage of the diaphragm at high temperature, lithium sulfide serves as a lithium supplementing agent and can achieve the lithium supplementing effect, cobalt and sulfur are combined to form stable sulfide in the lithium supplementing process, accordingly, electrochemical inertia is kept after lithium supplementing is completed, stable lithium supplementing is achieved, and the carbon nano tubes have selective permeability on lithium ions, so that the lithium-ion battery diaphragm can be applied to lithium ion batteries. And as a conductive framework, rapid migration of electrons and ions can be promoted, and the rapid charging performance of the lithium ion battery can be enhanced, so that the lithium ion battery integrates the safety performance, the energy density and the rapid charging performance.

The invention discloses a fault diagnosis method based on multi-dimensional knowledge migration. The method comprises the following steps: acquiring a source domain data set and a multi-target domain data set; constructing a double-branch neural network model based on guidance of data knowledge and semantic knowledge, training the double-branch neural network model, and optimizing model parameters by taking minimization of a total loss function of the double-branch neural network model as an optimization target; wherein the model comprises M + 1 data knowledge guidance branch networks and M + 1 semantic knowledge guidance branch networks; and performing fault diagnosis tasks of different target domains by using the trained double-branch neural network model. According to the method, the problem of negative migration caused by forced alignment distribution in traditional migration learning can be solved, and effective knowledge migration from a source domain to a multi-target domain is realized from the perspective of multi-dimensional knowledge fusion, interaction and driving; the method can be applied to industrial fault diagnosis tasks of industrial operation and maintenance and rapid migration deployment in various migration learning scenes, and has a good learning effect and generalization ability.

The invention provides an attention mechanism-based power communication network fault detection method and system. The method comprises the following steps of: constructing a network model of a power monitoring system network connection relationship, a network resource and a service fault relationship; constructing a fault detection model; designing an attention mechanism-based power communication network fault detection algorithm in the fault detection model; and inputting the network model of the network connection relationship, the network resource and the service fault relationship of the power monitoring system into a fault detection model, predicting whether a node in the power communication network has a fault by the fault detection model based on a power communication network fault detection algorithm of an attention mechanism, and outputting the probability that the node has the fault. According to the method, the detection accuracy of the attack behaviors in the power monitoring system network can be improved.

The invention discloses a virtuality and reality combined method and system for dynamically reconstructing diversified network topology, and belongs to the technical field of novel power systems, and the method comprises the following steps: virtualizing physical equipment in a power system business scene network by using NFV to obtain virtual equipment; constructing a network architecture for realizing a service scene network of the power system by adopting a virtualization mode; physical equipment and virtual equipment in the service scene network of the power system are controlled in a centralized manner based on the SDN; and the SDN controller dynamically reconstructs the service scene network of the power system according to a set strategy. According to the invention, dynamic allocation of network resources and real-time reconstruction of topology are realized through a virtuality and reality combination technology, a software defined network technology and a network function virtualization technology, and virtualized resources and resources of physical equipment can be effectively integrated so as to quickly respond to changes of application requirements.

The invention belongs to the technical field of photovoltaics, and particularly relates to a heterojunction crystalline silicon solar cell and a preparation method and application thereof. According to the heterojunction crystalline silicon solar cell provided by the invention, MoSz-QD is embedded in the SiOy layer, molybdenum sulfide (MoSz) has good electrical properties, and rapid migration of carriers is facilitated; meanwhile, the band gap of the MoSz-QD can be broadened to gt; 3.0 eV, so that high Ec is formed on an interface to prevent electron transport, and the blocking effect of non-selective carriers (electrons) can be realized; moOx is deposited on the surface of MoSz-QD, an impurity energy level is formed through defect engineering, and only holes are allowed to utilize traps to assist tunneling to form effective transportation, so that the heterojunction crystalline silicon solar cell provided by the invention is a high-performance heterojunction crystalline silicon solar cell; the technical problem that in the prior art, a solar cell with a transition metal oxide (TMO) selective contact layer is poor can be solved.

The invention provides a crystalline silicon solar cell with high conversion efficiency and a preparation process thereof, and belongs to the technical field of solar cell preparation. The preparation process comprises the following steps: pretreating a crystal silicon wafer; preparing a bionic micro-nano composite film; preparing a composite structure on the surface of the silicon wafer; preparing the glass powder doped with the phosphorus-doped graphene; preparing a positive electrode conductive slurry; and preparing the crystalline silicon solar cell. The CuS nanocrystals / quantum dots are deposited on the surface of the bionic micro-nano composite film, the effects of antireflection, passivation and sensitization of the silicon wafer can be achieved, the photoelectric conversion efficiency of the battery is further improved, the CuS nanocrystals / quantum dots are deposited, the absorption range of the silicon wafer to the optical wavelength can be increased, and the photoelectric conversion efficiency of the battery is improved. Meanwhile, one absorbed photon can be converted into a plurality of photon-generated carriers through the CuS quantum effect, and the photoelectric conversion efficiency of the cell is improved.

The invention relates to a preparation method of a negative electrode material for greatly exposing (101) crystal faces of a traditional commercial zinc foil by adopting a citric acid etching reaction and application of the negative electrode material in water-based zinc ion battery negative electrode protection. And the crystal faces (100) and (002) are etched off by using citric acid, and a large amount of the negative electrode material of the crystal face (101) is exposed. When applied to a negative electrode of a water-based zinc ion battery, the negative electrode material can improve the migration and nucleation capabilities of zinc ions in the negative electrode, can accelerate the dynamic process of rapid and uniform deposition of the zinc ions, and also can improve the stability of the battery. The stability and the dynamic performance of the negative electrode can be greatly improved, zinc ions can achieve rapid migration and uniform deposition on the surface of the negative electrode, and a good inhibition effect on hydrogen evolution and corrosion behaviors is achieved. Research finds that a layer of ZnS solid electrolyte membrane (SEI) protection layer is formed on the surface of the highly exposed Zn (100) negative electrode in the circulation process to prevent direct contact between an exposed crystal face and electrolyte, so that side reactions such as water decomposition and the like are inhibited, interface free energy is reduced, transfer kinetics of zinc ions is promoted, and the service life of the negative electrode is prolonged. And nucleation and deposition of uniform zinc ions are facilitated. The method for protecting the negative electrode of the aqueous zinc ion battery is simple and safe to operate, shows excellent reversibility, and can stabilize the output of the battery in a whole battery in practical application, and the method for protecting the negative electrode of the aqueous zinc ion battery is provided.

The invention discloses a high-entropy sodium vanadium phosphate positive electrode material and a preparation method and application thereof.The material comprises a carbon layer coated on the outer layer of sodium vanadium phosphate, the chemical formula of the sodium vanadium phosphate is Na3V2-10xMn3xCo3xNi3xCr2xTi3x / 2 (PO4) 3, x is larger than or equal to 0 and smaller than or equal to 0.1, a carbon source, a vanadium source, a phosphorus source, a manganese source, a cobalt source, a nickel source, a chromium source, a titanium source and a sodium source are sequentially added into a solvent according to needs to be evenly mixed, the mixture is heated and stirred in an oil bath till the gel state is achieved, drying is conducted, and the high-entropy sodium vanadium phosphate positive electrode material is obtained. And grinding, calcining, naturally cooling to room temperature, and grinding into powder. The five elements Mn, Co, Ni, Cr and Ti are used for partially replacing V, the diffusion kinetics and conductivity of sodium ions are improved by doping and optimizing the structure of the material, the crystallinity and specific capacity of the material are improved, rapid migration of the sodium ions and conduction of electrons are promoted, the electrochemical performance is excellent, and the material is used for the sodium ion battery.

The application relates to the field of wastewater treatment catalysis, and discloses a Fe-Cu-Mn ternary hydrotalcite-like catalyst and a preparation method thereof, which comprises iron, copper and manganese; the iron, copper and manganese are distributed in the layer plate metal central site in an atomic dispersion mode; the layer plate oxygen octahedron is in a non-symmetrical stretching distortion state; a 3.2-4.8 degree deviation is generated in the manganese oxygen copper bond angle in the layer plate; the lattice parameter a of the layer plate 110 crystal face direction is 0.305-0.312 nm; the molar ratio of copper to manganese is 1:2-1:5; and the molar sum of copper and manganese to the molar ratio of iron is 2:1-4:1. According to the application, the lattice non-symmetrical distortion induces the space overlap of the auxiliary metal and the iron active center orbit, an electron transfer path is constructed, the shielding effect of the hydroxyl ion on the iron active site under the alkaline environment is eliminated, the catalytic site activity is maintained, and stable and efficient catalytic treatment under wide pH working conditions is realized.

This invention discloses a carbon-based composite catalytic material, its preparation method, and its applications. The invention employs a one-step carbonization process involving molten salt confinement, a non-urea nitrogen source, and no ball milling: a dinuclear iron precursor, nitrogen-containing organic matter (as both a non-urea nitrogen source and a carbon source), ZnCl2, and a molten salt system are mixed. After high-temperature pyrolysis under an inert atmosphere, the mixture is sequentially washed with hot water to dissolve the molten salt, followed by washing with HCl solution and drying. The entire process eliminates the need for complex mechanical treatments such as ball milling, simplifying the steps and providing milder conditions, making it more suitable for scale-up preparation and engineering applications. The above-mentioned carbon-based composite catalytic material is applied to the degradation of chlorinated organic pollutants in soil, particularly in conjunction with persulfate oxidants to construct an advanced oxidation system. The highly coordinated dinuclear M2N6 reaction center efficiently activates persulfate, generating sulfate radicals, hydroxyl radicals, and / or non-radical active species, achieving rapid degradation of recalcitrant chlorinated organic pollutants.

The invention relates to the technical field of preparation of lithium ion battery positive electrode materials, in particular to an in-situ composite perovskite positive electrode active material and a preparation method and application thereof. The preparation method of the in-situ composite perovskite positive electrode active material comprises the following steps: mixing a lithium compound, a phosphate compound, a carbon source, a rare earth metal compound, a cobalt compound and / or a nickel compound with an iron compound or an iron compound and a manganese compound in a solvent to obtain mixed slurry; carrying out spray drying on the mixed slurry to obtain composite precursor powder; and sequentially carrying out pre-sintering treatment and formal sintering treatment on the composite precursor powder to prepare the in-situ composite perovskite positive electrode active material. Through the solution mixing and co-sintering process, the in-situ compounding of the perovskite phase and the positive electrode base material at the atomic scale is realized, the interface bonding and ion transmission efficiency between the perovskite phase and the positive electrode base material are remarkably enhanced, and the cycling stability is remarkably improved while the high capacity of the obtained positive electrode active material is maintained.

This invention discloses an attribute fusion method and system based on unsupervised hybrid multimodal and ternary adaptive transfer autoencoder, belonging to the fields of artificial intelligence and seismic exploration. The method includes: constructing an unsupervised hybrid multimodal adaptive weighted feature fusion autoencoder (UHM-AWFFA) network, where the encoder uses a multi-branch independent encoder to extract deep independent features of multiple seismic attributes and dynamically fuses them through a weighted feature fusion layer; the decoder performs hierarchical reconstruction of the fused features, simultaneously outputting the reconstruction results of each attribute and the fused attribute profile; training is performed using an interactive reconstruction loss function, and fine-tuning is performed using a ternary multimodal adaptive dynamic transfer learning (TE-MADT) strategy, including a gradient-driven adaptive thawing mechanism, a multimodal collaborative transfer strategy, and a cross-modal knowledge distillation mechanism. This invention achieves nonlinear intelligent fusion of seismic attributes, effectively uncovers deep coupling relationships between attributes, and improves the geological interpretation accuracy of the fused profile.

The embodiment of the invention provides a link saturation detection method, and relates to the technical field of communication. The method comprises the following steps: acquiring a first link configuration parameter, and sending a link establishment request to second network equipment according to the first link configuration parameter, so that the second network equipment verifies the first network equipment according to the link establishment request; obtaining a verification result sent by the second network equipment, and if the verification result is successful verification, establishing a saturated link between the first network equipment and the second network equipment through the virtual network port; and performing state detection on the second network equipment based on the saturated link, and if the second network equipment is detected to be in an abnormal state, sending a service switching request to the second network equipment, so that the second network equipment switches the service to the first network equipment for processing according to the service switching request. The invention aims to solve the problems of high-reliability backup and quick service migration of site-level services between wireless base stations.

The invention belongs to the technical field of photocatalytic hydrogen evolution, and discloses preparation and application of a platinum monatomic modified zinc cadmium sulfide catalyst. Aiming at the urgent demand of clean energy under energy crisis and the problems of insufficient efficiency, complex preparation, high cost and the like of the existing photocatalytic hydrogen evolution material, the invention aims to provide a catalyst which is simple and convenient in process, controllable in cost and excellent in hydrogen evolution performance. According to the preparation method, zinc acetate, cadmium chloride, thiourea, polyvinylpyrrolidone, potassium tetrachloroplatinate and a hydrazine hydrate solution are taken as raw materials, and precise modification and stable loading of platinum single atoms on the surface of zinc cadmium sulfide are realized through combination of a hydrothermal synthesis method and a photodeposition technology. The catalyst shows excellent catalytic activity and long-term stability in the field of photocatalytic hydrogen evolution, the hydrogen evolution efficiency can be remarkably improved, an efficient solution is provided for clean energy development, and the application value is wide.

The invention belongs to the technical field of nuclear power, and particularly relates to a system data migration method and device. According to the system data migration method provided by the invention, aiming at two sets of PDM systems which are deployed in different environments, different in deployment architecture design and different in function, the problems that database design and historical data of the two sets of PDM systems are inconsistent, massive documents / CAD files processed by an algorithm are stored, the data structure is complex, multiple data bottom layer incidence relations exist, and deep coupling exists can be solved; data of the two PDM systems are rapidly and accurately migrated, and functions of the two PDM systems are combined. Therefore, file transmission is realized in a system deployment environment with strict limitation, and functions of two sets of systems with huge difference are combined quickly and accurately.

The invention discloses a carbon electrode process control method and system, and the method comprises the steps: carrying out the secondary index division of multi-source data indexes of a carbon raw material, and constructing a comparable data space of the indexes of the raw material; establishing a comprehensive index system based on the comparable data space, and constructing a two-stage linear weight coupling structure based on the comprehensive index system to form an index fusion weight vector; based on the index fusion weight vector, constructing a multi-path evaluation decision model, and performing weighted calculation on each index in the comparable data space according to the index fusion weight to generate a corresponding sorting result; based on the sorting result, establishing a standard reaching probability prediction model, and correcting the sorting result according to the standard reaching probability; based on the corrected sorting result, unification processing of the process window is achieved, and a process parameter map is constructed; and carrying out process execution optimization and process monitoring on the carbon electrode production process based on the process parameter atlas. According to the method, the stability and reusability of the carbon electrode process decision are improved.

The invention relates to the technical field of solid-state batteries, in particular to a modified composite solid electrolyte and a preparation method thereof. The preparation method comprises the following steps: S1, mixing a PVDF-HPF copolymer, PEO, LTFSI and a solvent to obtain a solution A; s2, mixing an ionic liquid, an inorganic lithium conducting material, silicon carbide and the solution A, and emulsifying to obtain a pouring liquid; s3, pouring the pouring liquid into a mold with a substrate to serve as a solid electrolyte precursor solution; and S4, drying the solid electrolyte precursor solution until the surface is dry, inverting the mold in a microwave field for microwave heating, and then drying the residual solvent to obtain the modified composite solid electrolyte. According to the preparation method, PEO / PVDF-HPF is adopted as a polymer matrix, silicon carbide is added into the polymer matrix, and the polymer matrix is polymerized into a film under microwaves, so that the problem of non-uniform heat transmission in the preparation process can be improved; meanwhile, by adding the ionic liquid, the lithium conductivity of the composite electrolyte can be improved, and the interface impedance is reduced.

The invention belongs to the technical field of solid-state batteries, and discloses an alloy ion / electron mixed conductor and application thereof. The mixed conductor is prepared by taking antimony powder, lithium powder or sodium powder and at least one metal powder of lanthanum, scandium, yttrium, aluminum, gallium and indium as raw materials through ball-milling mixing, tube sealing annealing and quenching treatment. When the mixed conductor is used as an interlayer of a lithium / sodium metal negative electrode and an electrolyte in the solid-state battery, the growth of lithium / sodium dendrites can be effectively inhibited through a specific nucleation mechanism, and the utilization rate of the metal negative electrode is improved; when the conductive additive is used as a conductive additive of a silicon, red phosphorus or graphite / hard carbon negative electrode material, by virtue of high ion / electron conductivity and good potential stability, the interface side reaction is reduced, and the rate capability and the cycling stability of the negative electrode material are remarkably improved.

This invention relates to a method for detecting wheat field furrows in UAV images based on spatial topology analysis, which overcomes the shortcomings of existing technologies in detecting wheat field furrows. The invention includes the following steps: acquiring and preprocessing wheat field UAV images; setting a furrow extraction algorithm; and obtaining the wheat field furrow UAV image detection results. This invention draws on a visual computing framework, utilizes high-resolution UAV images, and, based on spatial topology analysis, elevates the image processing unit from pixels to editable structural elements, enabling the detection of farmland furrows in complex agricultural scenarios.

The invention provides a large-model multi-language enhancement training method capable of continuously expanding experts, which comprises the following steps: step 1, extracting an original FFN module in a large-scale language model LLM to be trained and segmenting the original FFN module into a plurality of new fine-grained FFN modules as fine-grained experts; 2, setting a fine-grained router, and selecting a preset number of newly-added fine-grained experts according to a preset rule to obtain the output of the fine-grained router; 3, setting a parent router, controlling the weight between the output of the original FFN module and the output of the fine-grained router, and calculating the final output; 4, freezing an original FFN module, and independently training the fine-grained expert; step 5, freezing an original FFN module, adding the newly added fine-grained expert, and training the newly added fine-grained expert; step 6, freezing all other parameters, and only training a parent router; and 7, continuously repeating the step 4 to the step 6 to realize large-model multi-language enhancement training of sustainable extension experts.

This application belongs to the field of nanophotocatalytic materials technology, and discloses a mesoporous TiO2 / coumarin-doped graphitic carbon nitride (CM-CN) composite photocatalyst, its preparation method, and its application. The invention first uses a crystallization-driven single-colloidal assembly method to prepare TiO2 particles with a uniform mesoporous structure. Then, dihydroxycoumarin is mixed with urea using a thermal polycondensation method and calcined at high temperature to obtain CM-CN. Next, CM-CN and mesoporous TiO2 are self-assembled in a solvent using a solvent dispersion-promoting technique to obtain the mesoporous TiO2 / CM-CN composite photocatalyst. This mesoporous TiO2 / CM-CN composite photocatalyst possesses a hierarchical pore structure, high specific surface area, excellent hydrophilicity, and strong interfacial bonding, achieving efficient transfer and separation of photogenerated carriers, and enabling the construction of a green, stable, and highly active photocatalytic system. The material preparation process is simple, the raw material cost is controllable, there is no secondary pollution, and the photocatalytic performance is significant, showing good potential for large-scale production and widespread application.

The invention relates to the technical field of batteries, in particular to a graphite composite material and a preparation method and application thereof. The graphite composite material comprises a base material layer and a coating layer, and the coating layer comprises a first material layer and a second material layer; the base material layer comprises graphite; the first material layer comprises an amorphous carbon material, and the amorphous carbon material is doped with a first nitrogen element; the second material layer comprises a graphite material, and the graphite material has a porous structure and is doped with a second nitrogen element; the concentration of the first nitrogen element is greater than that of the second nitrogen element. According to the graphite composite material, the first material layer can ensure the reversible capacity and the rate capability of the material; the graphitization degree of the carbon material in the second material layer is high, the irreversible capacity can be reduced, the low nitrogen concentration is beneficial to improving the conductivity, and the porous structure can shorten an ion diffusion channel, so that the energy storage capacity and the rate capability are improved.

The application relates to an unmanned automatic battery replacement system and method of a distributed split-body meeting architecture, and belongs to the technical field of automatic battery replacement of electric vehicles. The system decouples a traditional integrated battery replacement station into a fixed container charging cabinet (a charging unit), an autonomous mobile transport vehicle (a transport unit) and an autonomous battery replacement robot (a battery replacement unit), and the three units independently operate under a unified scheduling system. The cloud scheduling platform is used for unified management of the units, including real-time position monitoring, task allocation, path planning, dynamic optimization of meeting points and whole-process scheduling of battery replacement execution. Through the distributed architecture of "fixed charging unit node, split transport unit and battery replacement unit departure destination meeting operation", the application realizes lightweight deployment, dynamic coverage and on-demand scheduling of the battery replacement infrastructure, reduces the construction and operation cost of the battery replacement infrastructure, and greatly improves the response speed and coverage range of the battery replacement service.

The application provides a battery, a battery pack and an electric device, and the battery comprises a negative electrode sheet, the negative electrode sheet comprises a solid-state electrolyte interface layer, the solid-state electrolyte interface layer comprises a fluorinated salt and a carbonate salt; the solid-state electrolyte interface layer satisfies 50% <= a1 <= 85%, 40% <= b1 <= 70%, and the application can simultaneously reduce the battery impedance and maintain the cycle stability.