242results about How to "Reduce the introduction" patented technology

The invention belongs to the technical field of natural language processing. According to the zero resource framework-based fine-grained large model illusion processing method and system, multi-dimensional anomaly detection is carried out on a preprocessed text through a large language model, and a multi-dimensional anomaly detection result is obtained; performing anomaly correction priority ranking according to a multi-dimensional anomaly detection result; dynamically adjusting a context window range according to a syntactic analysis result and the generated syntactic dependency tree; performing priority correction on high-risk vocabularies and sentences according to an abnormal correction priority ranking result in combination with the adjusted context window range; and evaluating the corrected content, and obtaining a corrected final text when a termination condition is met. According to the method, the excessive confidence, subtle semantics and grammar deviation illusion detection of the detection content is realized, and the illusion detection processing capability of a large language model, especially the detection processing capability of a fine-grained illusion problem, is improved.

The invention discloses a retrieval enhancement-based large language model question and answer method, apparatus and device, and a medium. The method comprises the steps of obtaining a target question input by a user; retrieving in a pre-constructed knowledge base according to the target question to obtain an initial retrieval result; according to a first preset prompt word, calling a large language model to determine a first correlation score between the initial retrieval result and the target question, and filtering the initial retrieval result based on the first correlation score to obtain a filtered retrieval result; and according to a second preset prompt word, based on the target question and the filtered retrieval result, calling a large language model to generate a target answer. According to the method, the introspection type retrieval strategy and the correlation evaluation mechanism are introduced by means of the large language model in the retrieval stage, introduction of useless information is reduced, the pertinence and the accuracy of retrieval are improved, therefore, consumption of computing resources is reduced, the accuracy of content generated by the large language model is improved, the RAG technical potential is brought into full play, and the user experience is improved.

The invention discloses a battery charge state prediction method and system based on a convolutional neural network. The method comprises the following steps: acquiring power consumption data of a battery; preprocessing the power consumption data; obtaining a first predicted SOC of the battery at each sampling time according to a double-Kalman filtering algorithm and the power utilization data; forming a data set by using the power consumption data and the first predicted SOC; dividing the data set into a training set, a verification set and a test set; constructing a convolutional neural network model CNN; training a convolutional neural network model by using the training set to obtain a trained convolutional neural network model; verifying the trained convolutional neural network model by using the verification set to obtain a convolutional neural network model passing verification; and testing the verified convolutional neural network model by using the test set to obtain a second predicted SOC of the battery at the next moment. The method can effectively improve the quality of a data set, reduces the introduction of errors, and improves the precision of a prediction result.

The invention provides a method for preparing high-purity and fine-particle-size lithium sulfide based on carbon thermal reduction. The method comprises the following steps: weighing lithium sulfate monohydrate, an insoluble inorganic carbon source and cysteine in a set proportion to form a raw material mixture; mixing the raw material mixture with water according to a set solid-to-liquid ratio, performing ultrasonic dispersion to obtain homogeneous dispersion liquid, and enabling the dispersion liquid to pass through a nitrogen circulating spray dryer to obtain uniform and dry precursor powder; in a vacuum environment, carrying out segmented calcination to obtain a crude product lithium sulfide; and in a dry and anhydrous environment, washing the crude product lithium sulfide for multiple times by using absolute ethyl alcohol according to a set liquid-solid ratio to obtain an alcoholic solution containing lithium sulfide, and then obtaining lithium sulfide fine powder through a nitrogen circulating spray dryer. The invention solves the problems of side reaction, low purity, large product particles, uncontrollable particle size and the like of lithium sulfide prepared by a carbon thermal reduction method in the prior art.

The invention discloses a construction method, system and equipment of a power dispatching knowledge question-answering system and a storage medium. The construction method comprises the steps of obtaining a power dispatching semantic document needing to be processed by the power dispatching knowledge question-answering system; sequentially carrying out character-based segmentation, proposition conversion and proposition combination on the power dispatching semantic document on the basis of the large language model and the related cue words to obtain a plurality of text blocks; based on the large language model and the related prompt words, identifying and extracting entities related to power dispatching and relationships among the entities from each text block; constructing a local graph for each text block on the basis of the large language model and the related prompt words, the entities extracted from each text block and the relationship among the entities; traversing each text block, and combining all the local graphs into a global graph; and on the basis of the large language model and the related prompt words, according to the question type queried by the user, a reply text is correspondingly generated by matching a minimum local graph which is most related to the global graph in the global graph.

The invention belongs to the field of MEMS sensors, and particularly relates to a low-temperature-drift MEMS resonant pressure sensor sensitive chip and a preparation method thereof. Comprising a cap layer, a resonance layer, a pressure sensing layer and an isolation base which are sequentially bonded and connected from top to bottom, the cap layer is provided with an electrode through hole and a vacuum cavity groove, and a getter is sputtered in the vacuum cavity groove; two Si-SiO2 composite resonators and a plurality of lead wire discs are arranged on the resonance layer, and a metal electrode is arranged on each lead wire disc; the number of the metal electrodes is equal to that of the cap layer electrode through holes, and the metal electrodes are located under the electrode through holes; two groups of silicon islands are arranged on the front surface of the pressure sensing layer, and three rectangular sensitive films with the same size are arranged on the back surface; the isolation base is a glass table; according to the invention, the output sensitivity of the sensor is greatly improved, the chip processing complexity is reduced, and the introduction of additional stress and materials is reduced.

The invention discloses a method for determining the purity of electronic-grade hexafluoroethane, and relates to the technical field of the purity of hexafluoroethane, and the method comprises the following steps: vacuumizing a specific sampling container to 10 <-3 > Pa to 10 <-2 > Pa, forming a super-hydrophobic coating on the inner wall, sampling in a temperature-controlled, humidity-controlled and pressure-controlled environment, and removing water and impurities through two-stage pretreatment; enhancing analysis by using a gas chromatograph, a specific carrier gas, a column temperature program, a micro-fluidic chip and an ion mobility spectrometry; then secondary scanning analysis is carried out by using a mass spectrometer double ion source and a calibration system; and finally, learning and matching an algorithm through a data processing system machine. Samples can be accurately collected and pretreated, gas chromatography and mass spectrometry analysis is more accurate and efficient, a data processing system can accurately determine impurities and purity, multiple measurement data can be counted and analyzed, the result reliability is improved, all parts of the system are optimized and matched, the accuracy and stability of the whole process are guaranteed, and the purity is calculated; the method further comprises statistical analysis of multiple measurement data.

The invention relates to the technical field of transient heat conduction, in particular to a composite material transient heat conduction and thermal stress simulation method based on a two-dimensional arbitrary polygon hybrid finite element, which comprises the following steps: S1, determining an analysis model and material attributes, and establishing a transient heat conduction basic equation including boundary and initial conditions; s2, constructing and expanding a generalized variational functional, processing boundary conditions in combination with a Lagrange multiplier method, and discretizing a solution domain into a plurality of independent units; s3, adopting hypothetical temperature field, heat flux field and thermal stress field functions, introducing a discrete finite element format, and deducing a corresponding finite element equation from a functional; and S4, solving a transient temperature field through programming, introducing the transient temperature field into stress analysis, and finally obtaining temperature and stress distribution of the material at different time points. According to the method, temperature distribution and thermal stress of transient heat conduction are solved by hybridizing heat flux finite elements, and a new way is provided for transient heat conduction and thermal stress analysis of the composite material.

The invention relates to the technical field of lithium iron phosphate black powder recovery, in particular to a method for preparing iron phosphate and lithium hydroxide by electrochemically and selectively recovering waste lithium iron phosphate. The method comprises the following steps: separating an anode chamber and a cathode chamber through a cation selective permeable membrane, respectively adding electrolyte into the anode chamber and the cathode chamber, electrolyzing for a period of time to respectively form an acidic environment and an alkaline environment, adding lithium iron phosphate black powder into the anode chamber, selectively leaching lithium into a solution within a proper pH range, and migrating the lithium into the cathode chamber under the action of an electric field, and iron is retained in the solid in the form of iron phosphate, so that lithium-iron separation and lithium ion enrichment can be realized in the leaching process. According to the method, the leaching rate of lithium can reach 99% or above, the leaching rate of iron is kept below 0.01%, the phosphorus iron slag can be restored into an iron phosphate precursor after being calcined, and the enriched lithium liquid is recycled in a high-purity lithium hydroxide form after being evaporated and concentrated. According to the method, electrons are used as a green oxidizing agent, the use of acid and alkali is greatly reduced in the leaching process, and all components are recycled.

The invention provides a wear-resistant super-hydrophobic coating and a preparation method thereof. The preparation method comprises the following steps: (1) preparing a porous structure coating which comprises a dispersion liquid of a micron-scale filler, resin and an auxiliary agent; (2) spraying the porous structure coating prepared in the step (1) on the surface of a base material by using a spraying technology to construct a stone-like paint or honeycomb-like firm porous network structure framework; (3) preparing a hydrophobic modified nanoparticle dispersion liquid; and (4) a hydrophobic modified nanoparticle dispersion liquid is sprayed on the porous network structure framework by using a spraying technology, the nanoparticles are embedded into the porous network structure framework, and the water contact angle of the composite coating is 158 degrees. The composite coating has high mechanical strength and excellent super-hydrophobic performance, and is endowed with wide application prospects.

The invention provides a visual question and answer method based on knowledge retrieval enhancement, and relates to the field of computer vision and natural language processing, and the method comprises the following steps: respectively encoding a multi-modal query and a knowledge text by using a multi-modal encoder; calculating the similarity between the multi-modal query and the feature vector of the knowledge text by using a vector dot product, and retrieving to obtain a plurality of related external knowledge; the method comprises the following steps of: extracting the most useful visual representation from a frozen image encoder by using a lightweight visual Transform module; using a T5 encoder to independently encode the joint input of a plurality of knowledge paragraphs, images and questions; the first N most representative marks are connected in series and input into a T5 decoder for joint decoding, and finally a correct answer is generated. According to the method, the problems of visual information loss and insufficient knowledge utilization in the existing method are solved, and the performance of the system in the knowledge-intensive visual question and answer task is remarkably improved.

The utility model belongs to the technical field of powder metallurgy powder preparation, and particularly relates to a gradient annular groove ball milling tank which is applied to development and research of novel composite materials and metallurgical technologies. When a traditional ball milling tank with a smooth inner wall is used for preparing flaky metal powder, the consumed time is long, the powder loss is large, impurity elements are easy to introduce, and particularly, hard metal powder (such as titanium and tungsten) is difficult to mill into flaky metal powder. According to the gradient annular groove ball-milling tank provided by the utility model, the gradient annular inner groove is formed in the inner wall of the ball-milling tank, so that the stress condition and the collision mode of metal powder and the ball-milling tank under the action of ball-milling beads can be optimized, and the metal powder is converted into a sheet shape with high efficiency and low loss. The inner molded surface of the gradient annular groove ball milling tank is a cylindrical surface, and a plurality of annular grooves are distributed in the inner molded surface in the height direction; wherein the section of the annular groove is in a semi-elliptical arc shape, and the ellipticity of the annular groove from the top to the bottom is gradually reduced.

The utility model discloses a magnetic turning plate liquid level meter, and relates to the technical field of liquid level meters. The liquid level meter comprises a liquid level meter body and a filtering assembly, an upper connecting pipe is welded to the top of the peripheral face of the liquid level meter body in a penetrating mode, a water inlet pipe is welded to the top of the peripheral face of the upper connecting pipe in a penetrating mode, and the filtering assembly is clamped to the bottom of the peripheral face of the liquid level meter body in a penetrating mode; a blow-off pipe is welded to the bottom of the peripheral surface of the filter assembly in a penetrating manner, a breather pipe is welded to the peripheral surface of the blow-off pipe in a penetrating manner, an air blower is fixedly clamped to the other end of the breather pipe, and a filter element is clamped to one end in the filter assembly in a penetrating manner. Through the arrangement of the liquid level meter main body and the filtering assembly, the problems that cleaning liquid after flushing and cleaning in a magnetic turning plate liquid level meter is easy to remain in the liquid level meter, impurities are introduced into measured liquid, and the filtering capacity of a filter element declines too fast when the liquid entering the liquid level meter is filtered, so that the liquid level meter is not easy to clean are solved. And the measured liquid cannot enter the liquid level meter in time, so that the measurement is not accurate.

The invention discloses a nanofiber membrane material for a solid polymer electrolyte as well as a preparation method and application of the nanofiber membrane material. The nanofiber membrane material is prepared from the following raw materials: an electrostatic spinning fiber membrane and a polymer matrix, the polymer matrix comprises a polymeric monomer, a lithium salt and an initiator; the polymeric monomers comprise polyethylene glycol diacrylate and trifluoroethyl methacrylate. The room-temperature ionic conductivity, the electrochemical window and the high-temperature mechanical property of the nanofiber membrane material disclosed by the invention are all at relatively high levels in the field of solid polymer electrolyte, and the nanofiber membrane material is easy to prepare and assemble into a battery.

The invention discloses a purification method and a purification device for crystallized magnesium, and relates to the field of magnesium metal smelting. The method comprises the following steps: under the protection of an inert atmosphere, firstly carrying out pressure-applying melting treatment on a magnesium material to be smelted, and then carrying out pressure-applying filtering treatment on a product obtained after the melting treatment, so as to complete the flux-free smelting process of the magnesium material. And meanwhile, the metal magnesium liquid and most of the oxide shells are separated by utilizing the liquidity difference between the liquid metal magnesium and the solid oxide shells. Compared with a conventional smelting process without pressure application, the method has the advantages that the melting rate of the crystallized magnesium can be remarkably increased, most of oxide impurities are removed, a series of pollution problems caused by flux use are solved from the source, and low-cost, high-efficiency and high-quality smelting of the crystallized magnesium is realized.

The invention relates to a semi-supervised text classification method and system based on multi-encoder generative adversarial learning, belongs to the technical field of supervised learning, and introduces a multi-encoder structure to provide multiple output representations for the same text sample. The generator part converts a vector sampled from random noise into a vector representation having the same dimension as the output of an encoder, and constructs an unsupervised and supervised loss combination module on a discriminator in order to realize semi-supervised text classification, and continuously promotes the generator to generate approximately real adversarial samples by utilizing generative adversarial learning, so as to realize semi-supervised text classification. And meanwhile, the capability of discriminating the real text sample and the adversarial sample generated by the generator by the discriminator and the capability of category classification are improved. In addition, through joint optimization of the generator and the discriminator, the text semantic representation capability of the encoder is further improved.

The invention discloses a harmless treatment method for rare earth smelting waste residues, and relates to the technical field of hazardous waste treatment and disposal. The method comprises the following steps: firstly, adding an organic barium salt into the rare earth smelting waste residue, stirring to react completely, then adding a carbonate mineralizing bacteria culture solution to carry out induced mineralization reaction, after the reaction is completed, pressurizing and compacting the rare earth smelting waste residue, carrying out carbonization maintenance, and drying after the maintenance is completed, so that the harmless treatment of the rare earth smelting waste residue is realized. The method for harmlessly treating the rare earth smelting waste residues has the advantages that the method is green and environment-friendly, the radioactivity of the rare earth smelting waste residues can be reduced in situ, the cementing effect on the rare earth smelting waste residues is good, and subsequent secondary utilization is not affected.

The invention discloses a process method for realizing direct connection of tungsten and steel, which belongs to the technical field of connection of dissimilar materials, and compared with an indirect connection method with a transition layer, ferrite forming elements are adopted as brazing filler metal or a functional diffusion layer to promote automatic formation of ferrite on a tungsten and steel interface, so that the direct connection of the tungsten and the steel is realized. Therefore, slow release and high-strength connection of tungsten and steel interface stress are achieved. The brazing filler metal has the beneficial effects that the functional diffusion layer can be dissolved in steel in a solid mode, formation of a ferrite slow-release stress layer with a certain width is promoted, introduction of other elements except tungsten and steel base metal is reduced, the brazing filler metal can serve as the slow-release stress layer, formation of the ferrite slow-release stress layer can also be promoted, and therefore the brazing filler metal can serve as the slow-release stress layer. Therefore, direct connection of tungsten and steel is achieved.

The invention provides a method for preparing an advanced oxidation catalyst from a waste sagger in the production process of a lithium battery positive electrode material. The method comprises the following steps: mechanically polishing the inner surface of the waste sagger to obtain metal-containing ceramic powder; leaching with acid to obtain an acid leaching solution containing metal ions and leaching residues; concentrating the pickle liquor to obtain concentrated liquor; adding an auxiliary agent into the leaching residue, uniformly mixing, molding, and calcining to obtain a catalyst carrier; putting into a concentration adjusting solution, fully dipping and adsorbing, taking out, drying and lightly burning, and repeating the dipping-drying-lightly burning process to obtain a catalyst precursor; and finally calcining to obtain the catalyst. The method is simple in process, high in feasibility and low in cost, industrial preparation is easy to achieve, comprehensive utilization of transition metal elements and ceramic components in the waste saggar can be fully achieved, and the high-grade oxidation catalyst for efficiently catalyzing potassium peroxymonosulfate to degrade organic pollutants is obtained; the method has important significance on comprehensive and high-value utilization of the waste saggar in the positive electrode material industry and development of an industrial-grade advanced oxidation catalyst.

The utility model relates to a photovoltaic broken glass wear-resistant elephant trunk capable of removing iron, and belongs to the technical field of photovoltaic glass processing. The wear-resistant lining plates are uniformly mounted on the inner wall of the square pipeline, the access hole is formed in the side wall of the bottom end of the square pipeline, one side of the cleaning door is hinged to the square pipeline, and the magnet is fixedly mounted on the inner side of the cleaning door and extends into the square pipeline through the access hole; the wear-resisting lining plate is installed on the inner wall of the square pipeline, the wear-resisting lining plate makes contact with glass, contact and abrasion between the glass and the inner wall of the square pipeline are reduced, introduction of mechanical iron is reduced, and the service life of the square pipeline can be prolonged. The magnet is installed on the cleaning door, and when scrap iron is cleaned, the cleaning door is opened, and the magnet is pulled out along with rotation of the cleaning door. The gravity of the magnet is borne by a hinge shaft of the cleaning door, cleaning is facilitated, the labor intensity of workers is reduced, and the working efficiency is improved; iron removal is carried out in the material guiding process of the chute with dispersed materials through the magnet, the iron removal efficiency is effectively improved, and the product quality is guaranteed.

The invention discloses a high-purity oxygen-free copper material and a preparation process thereof, and relates to the technical field of metallurgy, and the preparation process comprises the following steps: step S1, electrolytic purification; step S2, performing pretreatment; s3, smelting and casting; an electrolyte used for electrolytic purification takes deionized water as a solvent, and comprises the following components in concentration: 60 to 120 g / L of copper nitrate, 50 to 80 g / L of sulfuric acid, 20 ppm of hydroxypropyl-beta-cyclodextrin, 1 to 6 mg / L of tris (hydroxymethyl) methylglycine, 0.5 to 5 mg / L of melamine, 5 to 20 mg / L of a surfactant, and 0.1 to 3 mg / L of 1-benzyl pyridinium onium 3-carboxylate. The high-purity oxygen-free copper material disclosed by the invention is high in purity, low in oxygen content and stable.

The invention relates to the field of polyethylene insulating materials, and discloses a polyethylene cable insulating material and a preparation method thereof. The method comprises the following steps: (1) carrying out blending-extrusion on an antioxidant, an anti-scorching agent and low-density polyethylene in a gravity metering manner, and then carrying out water-cooling granulation to obtain granules; (2) carrying out preheating treatment on the granules by adopting a gravity metering mode, and then sequentially mixing and infiltrating the granules and peroxide; the anti-scorching agent is 1, 1-diphenylethylene and / or 2, 4-diphenyl-4-methyl-1-pentene, and the solvent is a solvent, a solvent and a catalyst. By adopting the method provided by the invention, the polyethylene cable insulating material with scorching resistance and high cleanliness can be prepared. Meanwhile, the ultrahigh-voltage polyethylene cable which is more than 110KV and is produced by adopting the polyethylene cable insulating material provided by the invention is stable in performance and longer in scorching time, so that the polyethylene cable insulating material provided by the invention is suitable for production of long-period cables.

The invention discloses a two-dimensional field effect transistor with high-temperature thermal stability and a preparation method thereof, and mainly solves the problem that a two-dimensional material in an existing two-dimensional field effect transistor can be oxidized and decomposed at high temperature. The device comprises a substrate (1), an insulation packaging protection bottom layer (2), a two-dimensional material film layer (3), an insulation packaging protection top layer (6) and a gate electrode (7) from bottom to top, a source electrode (4) and a drain electrode (5) are arranged at the two ends of the film layer (3), and the packaging protection bottom layer and the packaging protection top layer both adopt any one or combination of more of aluminum nitride, hexagonal boron nitride or silicon nitride. Oxygen molecules in the air are prevented from diffusing to the two-dimensional material film layer for reaction at high temperature, so that the two-dimensional material film layer plays a role in high-temperature protection; the two-dimensional material film layer is made of molybdenum disulfide or tungsten disulfide or tungsten diselenide. The high temperature resistance of the two-dimensional field effect transistor is improved, oxygenolysis of the two-dimensional material at high temperature is avoided, and the two-dimensional field effect transistor can be used for aerospace, deep well drilling or other high-temperature environments.

The invention discloses a neuromorphic transistor taking lithium niobate or lithium tantalate single crystal as a gate medium and a preparation method of the neuromorphic transistor, and belongs to the technical field of semiconductor devices. The neuromorphic transistor comprises a substrate layer, a bottom gate electrode layer, a gate dielectric layer and a patterned electrode assembly which are arranged from top to bottom. The material of the substrate layer comprises single crystal LiNbO3 (0001) or single crystal LiTaO3 (0001); the bottom gate electrode layer comprises a single crystal ZnSnO3 thin film; and the gate dielectric layer comprises a single crystal LiNbO3 film or a single crystal LiTaO3 film. A gate dielectric layer can be directly deposited after a single crystal ZnSnO3 thin film is epitaxially grown on the single crystal LiNbO3 (0001) or single crystal LiTaO3 (0001) substrate, the situation of lattice mismatch is effectively avoided, meanwhile, introduction of a buffer layer is reduced, thin film growing methods in a device structure are physical vapor deposition methods, safety is higher, and process cost is lower.

The invention provides a preparation method and application of a TiO2 / Bi / X ternary heterostructure photocatalyst, and belongs to the technical field of photocatalytic materials.The preparation method comprises the steps that TiO2 nanorods containing Ti < 3 + > and oxygen vacancies are prepared; the preparation method comprises the following steps: adding the TiO2 nanorod and X into deionized water, stirring, centrifuging, reserving precipitate, drying in vacuum, grinding, and calcining to obtain a TiO2 / Bi / X ternary heterostructure photocatalyst; x is BiOI, Bi2WO6 or BiOBr, and the structural formula is shown in the description. The method for in-situ construction of the Bi metal mediated ternary heterojunction without additionally adding a reducing agent has the advantages that synthesis is simple, conditions are mild, and impurities are not easy to introduce; compared with single TiO2 and BiOI catalysts, the TiO2 / Bi / X prepared by the method has the advantages that the tetracycline degradation effect is obviously improved, and the TiO2 / Bi / X has a very good application prospect in the field of photocatalysis.

The invention relates to an emotion detection method combining metaphor recognition and a syntactic structure, and belongs to the technical field of natural language processing and emotion analysis. The implementation method comprises the following steps: 1, tagging part-of-speech coarseness of a to-be-analyzed text by utilizing a natural language processing library; extracting and identifying a labeled result to obtain an emotion keyword; 2, performing fine-grained marking on the emotion keywords, and performing serial number marking on positions of the emotion keywords; 3, obtaining a feature vector, a segment vector and a mask vector; 4, screening to obtain a target word of the metaphor; 5, constructing a node relationship of the dependency tree; meanwhile, sorting and splicing are carried out, and then clauses are obtained; 6, performing emotion classification evaluation; the evaluation is used in emotional natural language text data processing; compared with the prior art, the method has the advantages that through cooperative work of the metaphor recognition model and the emotion detection model, the recognition precision of the expression emotion of the metaphor is improved, introduction of irrelevant information is effectively reduced, and high efficiency of emotion analysis is ensured.

The invention provides a treatment method of nickel-cobalt hydroxide, which comprises the following steps of: leaching the nickel-cobalt hydroxide by using a leaching agent containing ionic liquid and chloride, and filtering to obtain leachate and leaching residues; adding iron powder or manganese powder into the leachate to remove copper, and filtering to obtain copper sponge and copper-removed liquid; adding an alkaline regulator into the copper-removed liquid, and filtering to obtain iron and aluminum-removed liquid and iron and aluminum slag; carrying out counter-current extraction on the iron and aluminum removed liquid and P204 to obtain manganese-rich organic liquid and manganese extraction residual liquid; carrying out reverse extraction on the manganese-rich organic liquid with dilute sulfuric acid to obtain a manganese sulfate solution, wherein the manganese sulfate solution is used for preparing a ternary precursor or manganous-manganic oxide; carrying out countercurrent extraction on the manganese extraction raffinate and the co-extraction organic solvent to obtain a nickel-cobalt-loaded organic solvent and raffinate; carrying out reverse extraction on the nickel-cobalt-loaded organic solvent by dilute sulfuric acid to obtain a nickel-cobalt sulfate solution; the nickel-cobalt sulfate solution is used for preparing the ternary precursor after being deoiled. The nickel-cobalt hydroxide treatment method provided by the invention is low in auxiliary material consumption, low in treatment cost, green and environment-friendly.

The invention relates to a calibration method and device of a laser space scanning device and a laser marking method. The method comprises the following steps: for each target focus point in a target focus point set, determining reference control data of a laser galvanometer according to the target focus points; controlling the laser galvanometer to emit laser according to the reference control data; controlling the camera to move so that the imaging center of the camera is located at the target focus point; the control data of the laser galvanometer are adjusted, so that the light spot of the laser is focused at the imaging center, and corresponding target control data are obtained; determining a spatial data relationship based on the target control data and the corresponding target focus points; the spatial data relation is used for determining corresponding target control data according to the position of the to-be-processed point so as to carry out laser marking. By adopting the method, calibration errors can be reduced.

The invention discloses a preparation method of aluminum-doped quartz sand, which comprises the following steps: dispersing fumed alumina, fumed silica, a dispersing agent, a defoaming agent and a binder in ultrapure water to obtain a mixed solution, and uniformly dispersing the mixed solution by using a nano grinding machine to form milky white turbid liquid; carrying out spray granulation on the turbid liquid by utilizing a centrifugal drying spray granulation tower to form spherical particles; mixing the spherical particles with a release agent, and carrying out compression molding by virtue of cold isostatic pressing equipment, so as to obtain a molded body; and the formed body is subjected to high-temperature glue discharging, sintering and crushing treatment, and the aluminum-doped quartz sand is obtained. The aluminum-doped quartz sand with excellent performance is obtained by adopting nano-scale gas-phase aluminum oxide and gas-phase silicon dioxide through treatment of processes such as a material mixing mode, high-pressure forming and high-temperature sintering, the purity is greater than or equal to 99.999%, the density is high, the temperature resistance is excellent, the aluminum content is controllable and is uniformly distributed, and the aluminum-doped quartz sand has the advantages of high-temperature resistance, high-temperature resistance and the like. The requirements of high purity and high temperature resistance of the quartz sand in the fields of photovoltaics, semiconductors and the like can be met.

The invention discloses a rare earth-containing additive, which comprises rare earth metal and iron, wherein the content of the rare earth metal is 5wt% to 90wt%, and the content of the iron is 10wt% to 95wt%; the density of the additive is 6.3g / cm 3 ~8.4g / cm 3 , melting point is 850℃~1450℃, oxygen content is ≤150ppm, maximum size of inclusions is ≤35μm, total inclusions are ≤0.5wt%. By adjusting the density, melting point and shape of additives containing rare earth and iron, the applicable composition window of additives is increased, the speed of additives added to molten steel through the upper slag layer is increased, the viscous resistance of molten steel to additives is effectively reduced, the influence of slag layer is eliminated, the depth of rare earth additives is increased, and the depth of additives is effectively increased, thereby improving the rare earth yield and distribution uniformity.