28results about How to "Highlight substantive features" patented technology

The invention provides a global asset pricing method considering a cross-market overflow effect and heterogeneity adaptation, and the method comprises the steps: constructing a three-layer heterogeneous graph covering global macroscopic nodes, regional market nodes and individual share asset nodes, and achieving the multi-level message passing through a heterogeneous graph neural network; end-to-end modeling of nonlinear overflow effects among global markets, among large-class assets and among individual stocks is realized for the first time; by designing a feature embedding layer, an interaction adaptation layer and a normalization layer exclusive to the market, adaptive adaptation is carried out for system features, data distribution and pricing logic of different markets, and stable and accurate pricing of mature markets and emerging markets is realized; according to the method, global systematic risk information and regional specificity alpha information are effectively separated and deeply fused through a double-attention aggregation mechanism of a global attention branch and a local attention branch, so that the income prediction precision is improved, and the systematic risk exposure degree and a regional alpha score can be directly output.

The invention discloses a semantic consistent double contrast learning long tail identification method, and belongs to the technical field of computer vision. Comprising the following steps: step 1, designing a double contrast learning framework, and optimizing a feature space through fusion supervision contrast learning; and meanwhile, a self-supervised comparative learning improvement model is introduced to enhance the feature invariance learning ability of data enhancement transformation. Step 2, designing a prototype-contrast dynamic semantic alignment strategy, adaptively correcting label noise caused by inter-class imbalance by utilizing class prototypes and classification probability in a semantic space, and coordinating the prototype-contrast dynamic semantic alignment strategy of feature space consistency through constraint based on the prototype; and 3, designing a double-branch decoupling classifier, dynamically adjusting the weight of the classifier in combination with a periodic cumulative learning strategy, realizing attention dynamic migration and tail category enhancement, inhibiting a head category dominant effect, and enhancing tail category representation learning. And therefore, the recognition performance of the long tail category is further improved.

The application discloses a memory driving, emotion sensing and output controllable AI implementation method based on end-side privacy calculation, a storage medium and a terminal device, and belongs to the technical field of artificial intelligence. The application aims at the core bottleneck of the prior art: firstly, the RAG memory architecture is an external module, which is disconnected with the whole cognitive process, and the human-like interaction capability is insufficient; secondly, the cloud output is uncontrollable, and the privacy security, full-scene deployment and expansion capability cannot be considered. The core innovation of the application is as follows: a special memory system taking cognitive causal weight as a grading standard is constructed, memory is taken as a dynamic kernel of the AI cognitive process, and is deeply bound with output constraint rules; an end-side anchored core cognitive closed loop is designed, a three-fold coincidence checking mechanism of the cloud returned content is newly added, a double-mode large model calling is compatible, and end-side cloud encryption expansion is originally supported. The application significantly improves the human-like interaction capability and output stability, realizes controllable user data sovereignty, and can be widely applied to AI scenes such as emotional accompaniment and personalized assistant.

This invention provides a method for automatically generating processes for standard parts of variable length. By uniformly planning the parts and components of standard mechanisms in a product, a knowledge base for automated design rules, a knowledge base for automated design process routes, and a calculation model for automated design time of standard parts are established. Each type of part and component in the knowledge base for automated design rules is dynamically matched with the process route templates and time calculation models in the knowledge base for automated design process routes and the calculation model for automated design time of standard parts. In application, the appropriate process route template and corresponding time information can be selected in real time according to changes in product parameters, realizing automated design and synchronous updating of standard part processes.

This invention discloses a green and environmentally friendly three-dimensional microcapsule ink composition and its preparation method, relating to the fields of microcapsule preparation technology and green printing materials. The core of this ink is a three-dimensional anti-rupture foamed microcapsule, the core of which is a uniform sea-island structure composite prepared by melt blending a solid phase change material and a low-temperature decomposition chemical foaming agent. The phase change temperature Tm of the phase change material is 60-75℃, and the decomposition temperature Td of the foaming agent is 80-100℃, satisfying 20℃≤Td-Tm≤40℃. Both Tm and Td are measured according to the test methods described in this specification. This invention also discloses the matching preparation methods for the microcapsules and the ink. This invention can trigger foaming at a low temperature of ≤80℃, and the integrity rate of the microcapsule wall after foaming is ≥92%, overcoming the industry contradiction of the incompatibility between low-temperature foaming and high integrity rate in existing technologies. The entire system is green and environmentally friendly, adaptable to various heat-sensitive substrates, and can achieve multi-functional integration, making it widely applicable to fields such as smart packaging and anti-counterfeiting printing.

The invention relates to a line patrol unmanned aerial vehicle power line patrol data fusion method based on multi-aerial vehicle cooperative control, provides deep learning, and belongs to the field of image or video recognition or understanding. The method comprises the following steps: a ground cooperative control station synchronously issues an N-view-angle line patrol task of a target line segment of a set power line transmission line to N line patrol unmanned aerial vehicles; and adopting an AI inspection data fusion model of a set power line transmission line to intelligently judge various fault types existing in a target line segment at a preset acquisition moment and positioning information of occurrence positions of the fault types on the basis of multiple analysis data corresponding to the N-view-angle line inspection task. In order to solve the technical problem that the precision, efficiency and comprehensiveness of a power inspection result cannot be improved at the same time in the prior art, a hardware architecture for power line inspection data fusion of the unmanned aerial vehicle for multi-vehicle cooperative control is established, and synchronous intelligent analysis of multiple fault types and occurrence positions thereof is completed by adopting an intelligent mode. Therefore, the technical problem is solved.

This invention provides a real-time bending and shaping method for virtual plants based on adjustable stiffness weights. The method involves configuring virtual plant parameter information and generating a parameterized plant model. The parameter information includes at least plant parameter information, plant control parameter information, and environmental parameter information. When the interactive mode is activated and the plant end is dragged, the end of the plant model is acquired and fixed at the target dragged position. Based on the target dragged position, the dragged virtual plant structure undergoes weighted inverse dynamic bending processing and interpolation. Based on the updated dragged virtual plant structure, other branch structures of the virtual plant are updated synchronously. The overall updated virtual plant structure is subdivided and subjected to Catmull-Rom curve interpolation. The interactive mode is then terminated, and the currently updated virtual plant structure is solidified. This invention uses gradual stiffness, mass curves, and weak bending moment constraints to make the bending shape of the virtual plant highly similar to the stress on real branches.

This invention proposes a large-scale, shallow, circular silo-type self-regulating pressure system, comprising a silo body. Its key feature is the inclusion of an elastic device that can contract or expand under pressure. This elastic device is located at the top of the silo body and is connected to an air inlet pipe. The end of the air inlet pipe extends out of the silo body and is connected to an exhaust pipe and an intake pipe, respectively. The exhaust pipe is equipped with a one-way exhaust valve, and the intake pipe is equipped with a one-way intake valve. The end of the intake pipe is connected to a high-pressure gas source, providing gas at a temperature of 15 to 25°C. This invention effectively balances the pressure inside and outside the silo while also considering temperature-controlled grain storage processes, preventing overheating inside the silo while balancing the pressure difference. Furthermore, it is easy to install and can be retracted when not in use to reduce space occupancy within the silo.

The application belongs to the technical field of lithium ion batteries, and particularly relates to a composite negative electrode sheet and a preparation method and application thereof. The composite negative electrode sheet comprises a current collector and a negative active material layer coated on the surface of the current collector; the negative active material layer comprises a negative active material, a conductive agent and a binder; the negative active material comprises graphite and a silicon material; and the particle size ratio of the graphite and the silicon material is (0.95-1.05):1. The application has the beneficial effects that the composite negative electrode sheet is designed by matching the particle size grading and morphology of the graphite and the silicon material, the electrode is comprehensively optimized from multiple aspects such as microstructure, mechanical properties and electrochemical properties, the rate performance and cycle stability of the battery are significantly improved, outstanding substantial features and significant progress are achieved, and the application has high industrial application value and wide market prospect.

The invention provides a method for monitoring and cleaning dirt of heat exchange equipment, which comprises the following steps of: 1) dividing a cleaning interface of large-section heat exchange equipment into a plurality of cleaning areas in array distribution according to the cleaning capability of a cleaning robot, and then dividing each cleaning area into a plurality of blockage point detection areas; (2) at least one blocking point detection sensor is arranged at the movable end of the cleaning robot; (3) in the detection mode, only a moving mechanism of the cleaning robot is started, a cleaning module is closed, the cleaning robot is controlled to carry a blocking point detection sensor to rapidly sweep each blocking point detection area, and the blocking condition of each blocking point detection area is detected; 4, according to the detection result of the blocking point detection sensor, the smudginess degree of the current blocking point detection area is judged, and the result is output. The method has the advantages that on-demand cleaning of the local area is achieved, and the cleaning efficiency is improved.

The present application relates to a kind of selective deoxidation chlorination method of alcohol compound, belong to the technical field of organic synthesis.The method uses the solid chlorinating agent shown in structural formula (I), under the joint action of organic solvent and base, it is reacted under mild conditions at 0-50 ℃, at least one hydroxyl group in alcohol compound can be converted into chlorine atom with high efficiency and high selectivity.The stability of the used chlorinating agent is good, and the safety is high, and it is convenient to store and transport, which overcomes the use limitation of traditional chlorine, sulfonyl chloride and other high-risk reagents.The method is suitable for primary, secondary and tertiary hydroxyl groups, has the advantages of short reaction time, simple operation and wide substrate applicability, and the obtained chlorinated product can be used as an important pharmaceutical and chemical intermediate.The present application effectively solves the problems of existing chlorination method, such as high toxicity, low selectivity and harsh reaction conditions, and has good application prospect.

The invention provides an iterative proportion optimization cigarette formula design method based on chemical components and generalized inverse, which comprises the following steps: collecting a target tobacco leaf sample and an alternative library single-material tobacco sample, scanning the tobacco sample by using a near-infrared spectrometer to obtain a near-infrared spectrum, and calculating the target tobacco leaf sample and the alternative library single-material tobacco sample according to the near-infrared spectrum; the method comprises the following steps: acquiring various chemical component data of a tobacco sample by adopting a near-infrared model, and preprocessing the chemical component data; according to the lower limit of the material of the single-material cigarettes in the formula design requirement, deleting the single-material cigarettes with the inventory less than the lower limit from the alternative library; according to the upper limit of the material of the single-material tobacco in the formula design requirement, the inventory of the single-material tobacco with the inventory exceeding the upper limit is adjusted to the upper limit; multiplying the chemical component content of the target tobacco leaf sample by the target dosage; and multiplying the chemical component content of the single tobacco sample by the adjusted stock, and operating for multiple times according to a configured formula design algorithm based on the chemical components and generalized inverse and proportion iteration to generate a plurality of design formulas.

This invention belongs to the field of fluid machinery and tribology, and discloses a ceramic friction pair thrust disc suitable for high-temperature operation of sealless pumps. The ceramic friction pair thrust disc includes a metal thrust disc base, a ceramic friction ring, a metal bushing, and fastening screws. This invention achieves uniform circumferential stress transmission by setting an integral metal bushing around the ceramic friction ring and using an interference fit determined based on thermal expansion difference and strength verification. This structure effectively avoids the problem of localized stress concentration or cracking of the ceramic ring caused by empirically determined interference fit values ​​in existing technologies. By rationally controlling the interference range, the metal bushing can maintain a pressing effect on the ceramic ring under high-temperature conditions without exceeding the allowable strength of the ceramic material, ensuring that the ceramic end face remains flat for a long time. Compared with the traditional solution that relies solely on large interference fit, this invention can provide a stable and controllable pressing force at high temperatures.

The invention discloses a composition for promoting aquatic animal body surface tissue repair and a preparation method and application thereof.The composition is prepared from active ingredients, a biological adhesive and a protein stabilizer, the active ingredients are trachinotus ovatus recombinant IGF1 protein and trachinotus ovatus recombinant IGF2 protein, and the biological adhesive is a biological adhesive. The trachinotus ovatus recombinant IGF1 protein is a fusion protein containing an amino acid sequence as shown in SEQ ID NO: 2, and the N end of the trachinotus ovatus recombinant IGF1 protein is connected with an SUMO tag protein; the invention further discloses a preparation method of the composition for promoting aquatic animal body surface tissue repair and application of the composition in preparation of aquatic animal body surface tissue repair drugs. The composition has the advantages of fusion expression, stability, high efficiency, synergistic repair, low dosage, high efficiency, biological adhesion, long-acting slow release and the like.

This invention relates to a machine vision-based system and method for recognizing and assessing gait abnormalities in children, belonging to the field of action recognition, and more specifically to the field of recognizing human actions or behaviors in image or video data. The system includes: a model building device for building an AI gait abnormality recognition and assessment model corresponding to a side-view imaging device; and an intelligent assessment device for intelligently assessing, based on selectively chosen multi-source basic data, whether the child currently being assessed has gait / crawling abnormalities and the number of months of such abnormalities. This invention addresses the technical problem of simultaneously failing to balance the quality and efficiency of gait / crawling abnormality assessment and the inability to simultaneously provide the number of months of abnormalities. It employs a custom-designed AI gait abnormality recognition and assessment model, based on selectively chosen multi-source basic data, to simultaneously complete both the status assessment and the assessment of the number of months of abnormalities, thereby solving the aforementioned technical problems.

This invention relates to a distributed energy collaborative optimization method based on a cloud-edge-device architecture, belonging to the field of smart microgrid technology. Technical solution: S1. Define a four-layer cloud-edge-device architecture; S2. Information transmission stage: Information is reported upwards and circulated and transmitted at the same level; S3. Demand optimization stage: Demand is decomposed downwards and optimized collaboratively at the same level; S4. Energy flow stage: Energy is aggregated upwards and interacts and communicates at the same level. This invention, through its designed four-layer cloud-edge-device architecture, enables distributed energy to shift from centralized control to active participation in demand response. Based on this, a distributed energy collaborative optimization method based on the cloud-edge-device architecture is further designed, achieving full-domain collaborative optimization of distributed energy. Firstly, it reduces the response error of distributed energy; secondly, it effectively reduces the response time of distributed energy, solving the problem of excessive computing power in traditional centralized control; and thirdly, it reduces the operating cost of distributed energy, addressing the high operating cost of distributed energy.

This invention provides an electromagnetic zoom shockwave handpiece, comprising a handpiece body, an electromagnetic excitation mechanism, an electromagnetic generating mechanism, an electromagnetic induction mechanism, and a variable focusing mechanism. The handpiece body houses a power module and a control unit. The electromagnetic excitation mechanism is located at one end of the handpiece body. The control unit controls and connects to the electromagnetic excitation mechanism. The electromagnetic excitation mechanism drives and connects to the electromagnetic generating mechanism, which in turn drives and connects to the electromagnetic induction mechanism. The electromagnetic induction mechanism then drives and connects to the variable focusing mechanism. This electromagnetic zoom shockwave handpiece facilitates equipment installation; it also provides constant energy, quantifiable output energy, and intelligent zoom, effectively detecting deep, latent trigger points that cannot be detected by palpation; it requires no treatment head replacement, has no consumables, and requires low maintenance.

The present application belongs to the technical field of industrial flue gas purification and energy recovery, and discloses a flash tank for deep degassing of desulfurization slurry, wherein an exhaust port, a demister, a spraying layer, a baffle assembly, a flow stabilizing element and a slurry outlet are sequentially arranged in the tank body from top to bottom; the baffle assembly comprises at least two baffles, and the receiving surface of the baffle is downwardly inclined; a plurality of guide partitions are arranged side by side on the receiving surface of the baffle, and the guide partitions extend along the inclined direction of the baffle to divide the receiving surface into a plurality of slurry flow channels; the flow stabilizing element is installed on the upper part of the slurry outlet to stabilize the desulfurization slurry and eliminate vortex.

The application discloses a small-capacity battery one-time endurance power supply pneumatic flap control device and method. The application forms a critical working time window power supply through precise control of the flap closing / opening critical working time window energy-saving mode, greatly reduces the standby power supply working time of the equipment and its useless standby power consumption; through precise control of the flap closing / opening critical working pressure energy-saving mode, the working pressure of the pneumatic flap closing / opening is greatly reduced, and its useless pressurization power consumption is greatly reduced. The application can greatly reduce the useless power consumption of the equipment, realize the limit micro-power consumption work of the pneumatic flap, the annual power consumption is less than 10 VAh / year, the one-time endurance working time of the battery is more than 10 years, the battery is free from replacement and charging maintenance for a lifetime, the installation, use and maintenance are very simple, the low-cost large-scale popularization and application are realized, and the sewage discharge and waterlogging drainage control of the urban drainage network terminal pneumatic flap can be effectively implemented.

The invention provides neodymium-containing high-corrosion-resistance laser cladding powder for a mining hydraulic oil cylinder and a cladding method, the neodymium-containing high-corrosion-resistance laser cladding powder comprises Nd2O3 powder and alloy powder, the mass percent of the Nd2O3 powder is 0.4%-1.0%, and the balance is the alloy powder; the alloy powder comprises the following components in percentage by mass: 19.2%-20.8% of Cr, 4.0%-8.0% of Ni, 0.3%-0.75% of Mn, 4.5%-8.5% of Mo, 0.04%-0.08% of C, 1.35%-1.52% of Si and the balance of Fe. In an inert atmosphere, the neodymium-containing high-corrosion-resistance laser cladding powder for the mining hydraulic oil cylinder is used for carrying out laser cladding on the outer surface of the mining hydraulic oil cylinder. The cladding method also has the advantages of moderate hardness, good wear resistance, strong purification capability and low hot crack sensitivity on the premise of ensuring that the cladding layer has better corrosion resistance.

The invention discloses a Tokamak plasma vacuum cavity wall body layered embedded pipe gradient heat utilization device, which is characterized in that a Tokamak vacuum cavity wall body is provided with a three-layer structure of an inner wall, a middle wall and an outer wall, and a high-temperature heat exchange pipe group, a middle-temperature heat exchange pipe group and a low-temperature heat exchange pipe group which are in arc fit are respectively embedded in the three-layer wall body; the distance between the plasma and the inner wall of the vacuum cavity is regulated and controlled through magnetic confinement, accurate adjustment of heat flux density is achieved, plasma heat is conducted from inside to outside in a stepped mode, the inner wall high-temperature heat exchange pipe set generates ultrahigh-temperature high-pressure steam for large-scale power generation, and the middle-wall medium-temperature heat exchange pipe set generates medium-temperature high-pressure steam for small-scale power generation. The outer wall low-temperature heat exchange pipe set heats water through waste heat to supply heat, and the distillation drinking water heat exchange pipe set achieves self-driven circulation through water vaporization natural impulsive force and also serves as a vacuum cavity wall body cooling protection layer. According to the device, Tokamak plasma heat cascade full utilization is achieved, the heat conduction efficiency is extremely high, the structure is simple and easy to achieve, direct output of multi-level energy can be completed only through the three-layer embedded pipe design of the vacuum cavity wall body, and the technical core focuses on heat exchange and energy distribution of the vacuum cavity body and the layered embedded pipes; and high-efficiency commercial conversion of nuclear fusion heat energy is adapted.

The application discloses a preparation method of pharmaceutical-grade glacial acetic acid. It belongs to the technical field of fine chemical industry. The method uses bio-based ethanol as raw material, and performs catalytic oxidation reaction with oxygen in a reaction rectifying tower under the action of a multifunctional composite ionic liquid catalyst designed by the application. After the reaction, the crude acetic acid liquid is purified by specific molecular sieve adsorption and multi-stage low-temperature gradient crystallization in sequence. The core of the application lies in catalyst design: by utilizing the "template effect" of acetate anions and the synergistic effect of palladium-ruthenium bimetallic nanoclusters, the application realizes the ultrahigh selectivity (>99.8%) and ultralong catalytic stability of ethanol to acetic acid under mild conditions. The integrated process avoids halogen and heavy metal pollution from the source, the product purity is greater than or equal to 99.99%, the content of key impurities (formic acid, propionic acid) is reduced by 1-2 orders of magnitude compared with traditional processes, and the energy consumption is significantly reduced. Therefore, the application is an efficient and pharmaceutical glacial acetic acid preparation path.

This invention discloses a source code security analysis and vulnerability verification system based on an AI-powered automated detection engine, relating to the field of application security. The system includes a candidate vulnerability extraction module, a decompilation and path extraction module, an AI-powered judgment module, a sensitive data de-identification module, an interface reasoning module, a verification request construction module, an active detection module, and a multi-dimensional judgment module. These modules work collaboratively, relying on the AI-powered automated detection engine to construct a fully automated closed loop. The AI-powered judgment module uses a large language model with code understanding, semantic reasoning, and text generation capabilities as its core reasoning unit, deeply participating in the entire process of source code security analysis and vulnerability verification. Combined with functions such as JAR decompilation, path extraction, sensitive data de-identification, and multi-dimensional evidence constraints, it achieves automated verification from candidate risks to real vulnerabilities. This system solves the problems of high false positives, reliance on manual labor, and low automation in traditional code auditing. It possesses advantages such as high accuracy, high automation, wide applicability, and data security compliance, upgrading traditional code detection into a highly reliable and automated source code security analysis and vulnerability verification system, meeting the current technical needs of the source code security detection field. This invention also discloses the method and computer configuration applied to this system.

The application relates to the technical field of electric correlation parameter measurement, and provides a booster station high-voltage equipment temperature field online monitoring method and system. The method comprises the following steps: investigating high-voltage power supply equipment in a booster station, and determining the installation positions of multiple sets of infrared dual-view thermal imaging devices; starting the multiple sets of infrared dual-view thermal imaging devices, synchronously collecting visible light images and infrared thermal images of the high-voltage power supply equipment in respective monitoring areas, fusing and displaying the infrared thermal images and the visible light images in the same field of view to obtain dual-view images; acquiring key point temperature values and temperature field distributions of the high-voltage power supply equipment in the respective monitoring areas in real time and online through the infrared dual-view thermal imaging devices, monitoring the collection areas corresponding to the temperature field distributions in real time, tracking and displaying the highest temperature value, the lowest temperature value and the average temperature value in the collection areas, and realizing online and real-time monitoring of the temperature field of the high-voltage equipment in the booster station.

This invention discloses a hypergraph neural network evaluation method for vehicle-mounted cable terminals based on differential dynamic features, comprising the following steps: acquiring partial discharge pulse signals of EMU cable terminals; combining multi-order odd derivatives into multi-dimensional dynamic feature vectors; constructing a dynamic hypergraph neural network model; pre-training the dynamic hypergraph neural network model on unlabeled partial discharge pulse signal samples; fine-tuning the trained dynamic hypergraph neural network model; and inputting new partial discharge pulse signals into the fine-tuned dynamic hypergraph neural network model, which outputs the corresponding insulation state category or degradation degree through a classifier. This invention, through the synergistic design of "spectral odd-order differential dynamic features + dynamic feature hypergraph neural network + self-supervised dynamic hypergraph learning," achieves significant progress in dynamic representation of the entire insulation degradation process, high-order structure correlation modeling, and robust evaluation under limited sample conditions, possessing outstanding substantive features and significant engineering application value.

The invention discloses lifting platform bearing type lying machine detection equipment capable of rotating and switching in a plane. The equipment comprises a detector table, a supporting table and a detection bed group, the detector table comprises a table plate and a detector device. The detector device comprises a carrying table, a lying machine, an electric control device and a lying machine support. The supporting table is provided with a flat plate part and a cylindrical part, the cylindrical part is embedded into the flat plate part, an opening of the cylindrical part is located in the upper surface of the flat plate part, and the central shaft part of the cylindrical part is provided with an outer fixing ring, a bearing ring and a middle shaft which are nested from outside to inside. The detection bed set is composed of a first detection bed and a second detection bed, each detection bed is provided with a bed board and a fixing frame, and the first fixing frame and the second fixing frame are fixed to the two upper ends of the Y-shaped fixing arm respectively. A method for detecting a bearing type lying machine of a lifting platform capable of rotating and switching in a plane is implemented by utilizing detection equipment and comprises a preparation step, a detection step and a repeated detection step.

This invention relates to the field of water conservancy engineering technology, specifically to a method for monitoring suspended sediment in the Yellow River Estuary and its adjacent sea areas based on multi-source remote sensing data. The method includes the following steps: selecting complementary multi-source remote sensing data (Landsat 8 OLI, Sentinel-2A / B, GF-1 WFV, GOCI), and performing radiometric calibration, atmospheric correction, and geometric fine correction standardization preprocessing; using an algorithm combining weighted average and principal component analysis to fuse the multi-source data and extract sediment-sensitive characteristic information; constructing an improved semi-empirical radiative transfer model incorporating tidal current, wind speed, and hydrodynamic correction factors to invert suspended sediment concentration, and ensuring the reliability of the results through multi-dimensional verification. This invention significantly improves monitoring accuracy and spatiotemporal coverage, and is adaptable to routine, emergency, and long-term dynamic monitoring of the Yellow River Estuary, providing scientific support for estuary ecological protection and management decisions.

This invention provides a growth apparatus and method for high-purity, large-size magnesium single crystals, relating to the field of single crystal growth technology. The magnesium single crystal growth apparatus provided by this invention includes a heating furnace, a feeding tube, a flow-controlled filter plate, and a crucible. The heating furnace includes a furnace body defining a sealed furnace cavity and a furnace tube defining the heating chamber. A temperature control system is installed along the furnace tube inside the furnace body, and an atmosphere control system and a water-cooling circulation system are installed on the furnace body. The crucible and feeding tube are placed inside the furnace tube, and the flow-controlled filter plate is located at the junction of the inner wall of the crucible and the inner wall of the feeding tube. This magnesium single crystal growth apparatus allows polycrystalline magnesium raw materials to be heated and melted into a molten liquid in the melting zone, which then drips into the crucible in the form of droplets for nucleation, crystallization, and growth along a stable liquid phase thin layer. This magnesium single crystal growth method, through targeted control of key processes, solves the problems of long cycle time, high energy consumption, and high cost faced by existing technologies in growing high-purity, large-size magnesium single crystals, and has great promotional value and broad application prospects.