422results about How to "High research value" patented technology

The invention discloses an intelligent path planning method for a mobile robot, and the method comprises the steps: building a static two-dimensional grid map, and carrying out the global path planning through an improved ant colony algorithm; enabling the mobile robot sensor module to detect unknown obstacle information, calculating an obstacle motion trail and a robot motion trail, adopts an optimized dynamic window method to carry out local dynamic obstacle avoidance, and taking the current position of the robot as a starting point and a closest key node on a global planning path as a temporary target point to carry out dynamic obstacle avoidance; and enabling the robot to travel along the planned path and safely reach the destination. According to the method, the actual problems of static obstacles and dynamic obstacles in the map environment are comprehensively considered, the heuristic function of the ant colony algorithm is improved, pheromone updating rules are adjusted for global path planning, the optimized dynamic window method is adopted for obstacle avoidance when the robot encounters the dynamic obstacles in the running process, and local path planning is completed; and the robot has higher practicability and research value in actual map operation.

The invention discloses an image identification method of stirring friction welding arc stripe interval. The image identification method is characterized by mainly comprising the steps of: obtaining image, carrying out binarization processing on the image, carrying out post processing on the binary image and detecting and calculating the arc stripe interval, firstly, obtaining a microscopic picture of a stirring friction welding arc stripe tool; and then, performing gray scale, wave filtering and binarization processing on the microscopic picture of the arc stripe tool; removing the isolated points, the interior stripe detects and the incomplete edge stripes of the binary image; and finally, determining the arc stripe interval calculation range, calculating the arc stripe interval and processing the data. The image identification method of stirring friction welding arc stripe distance disclosed by the invention greatly enriches the obtaining method of arc stripe parameters and provides certain foundation for research of the arc stripe parameters in the stirring friction welding.

The invention aims to provide a cylinder series connection elastic driver. The cylinder series connection elastic driver comprises an encoder, a servo motor, a connection cylinder, a coupler, a screw rod, thrust columns, a nut, springs, spring driving plates, a shell, a driving cylinder and a driving output end; the encoder is arranged on the servo motor which is connected with the screw rod through the coupler in the connection cylinder; the circumference of the nut is provided with three threaded holes which form an angle of 120 degrees; each threaded hole is provided with a thrust column; two sides of each of the three thrust columns are provided with spring driving plates; a spring is arranged outside two spring driving plates respectively; and the driving cylinder is connected with the driving output end. The new, efficient, miniaturized and modularized elastic driver which has the bionic characteristic provides technical basis for a walking robot which has high degree of adaptability to complex terrain, reliable performance, a small volume, and joint buffer capacity when walking at high speed, and has high research value and wide application prospect.

The invention discloses macrocyclic and cage-like molecules based on biphenylarene and derivatives of the macrocyclic and cage-like molecules as well as synthetic methods and applications of the macrocyclic and cage-like molecules and the derivatives. A series of novel macrocycles are obtained mainly by performing a reaction on bis(2,4-dialkoxyphenyl)arenes (naphthalene, anthracene, pyrene, porphyrin and the like) or tris(2,4-dialkoxyphenyl)arenes (benzene, sym-tribenzobenzene) and paraformaldehyde under the catalysis of a Lewis acid in high yield. In addition, perhydroxybiphenylarenes (quaterphenyl trimer, naphthalene dimer and the like) can be obtained by performing demethylation, a plurality of water-soluble derivatives can be obtained by performing further modification, and the derivatives show good bonding ability to guest molecules (viologen and the like); and moreover, functional groups introduced into the framework make the biphenylarene have excellent adsorption and separationability and photophysical properties. The compounds, derivatives and methods provided by the invention have the following advantages: raw materials of the biphenylarene are commercially available, the synthesis is simple and convenient, the yield is high, and the modification is convenient, so that the compounds and the derivatives have broad application prospects in gas adsorption and separation, performance improvement of light-emitting materials, and adsorption of water-soluble toxic substances.

The invention discloses a clustering map creating method and a repositioning method based on matching of a clustering map and a position descriptor. The invention provides a three-dimensional visual laser SLAM system with a complete system structure and a cluster map creating method. The repositioning method of the unmanned vehicle is designed based on the clustering map and the position descriptor. A clustering map consistent with the scale of a real scene is created for an urban dynamic environment. A position descriptor used for describing point cloud clustering position characteristics isdesigned, and reliable repositioning of the unmanned vehicle in the urban environment is achieved through matching and screening of the position descriptor. By ignoring the change of the shape of a single object and focusing on the mutual position relation between different objects, the repositioning method provided by the invention can effectively cope with the adverse change of various scene conditions, realizes higher repositioning success rate, and has wider application prospect and higher research value.

The invention relates to a nitrogen-doped porous hollow carbon sphere carbon dioxide adsorption material as well as a preparation method and application thereof. The preparation method comprises the following steps: adding SiO2 sphere flowers into mixed liquid of deionized water, absolute ethyl alcohol and ammonia water, and carrying out ultrasonic oscillation until the SiO2 sphere flowers are completely dispersed; and then adding a dopamine hydrochloride water solution, uniformly stirring at the room temperature, filtering, washing, drying, and processing at 700-900 DEG C for 2-4 hours in a N2 atmosphere so as to obtain nano-composite spheres; and finally impregnating the nano-composite spheres in hydrofluoric acid to remove the SiO2 sphere flowers, filtering, washing, and drying, so as to obtain the nitrogen-doped porous hollow carbon sphere CO2 adsorption material. The adsorption material is a porous hollow carbon sphere, the particle sizes of porous hollow nano-carbon spheres are about 400nm, the porous hollow nano-carbon spheres are uniform and regular, and the adsorption material has high nitrogen content, adsorptive property, specific surface area and pore volume and high-dispersed regular appearance, the surface of the adsorption material contains rich amino active sites, and the adsorption material can be applied to efficient adsorption of industrial CO2.

The invention provides a deep learning based video crowd emotion analysis method, and mainly relates to classification for crowd emotions in the video by using a multi-stream neural network. The method comprises the steps of building a multi-stream neural network (pixel, optical flow and saliency), concurrently extracting features in pixel information, superposition optical flow information and saliency information of a video sequence by using the network, and finally integrating the three types of features to obtain classification for the crowd emotions. The self-learning ability of deep learning is given into full play, the limitation of manual feature extraction is avoided, and the method is enabled to be higher in adaptability. Training and prediction are performed by using structural features of the multi-stream deep learning network, classification results of multi-stream sub-networks are integrated finally, and the accuracy and the work efficiency are improved.

The invention belongs to spirophosphine-oxazoline and a preparation method and an application thereof, in particular to novel spirophosphine-oxazoline and a preparation method of iridium complex thereof. The novel spirophosphine-oxazoline is synthesized through two reactions by using substitutional 7-diarylphosphino-7'-carboxyl-1, 1'-spirobiindane as starting raw materials. Complexation and ion exchange are performed for the novel spirophosphine-oxazoline and iridium precursor, so as to obtain iridium / spirophosphine-oxazoline complex compound containing different anions. The invention overcomes the defects of the prior art, synthesizes the novel spirophosphine-oxazoline without substitutional group on oxazoline 4- position by using cheap aminoethanol as raw materials, can catalyze asymmetric hydrogenation reaction of Alpha-substituting acrylic acid, expresses higher activity and enantioselectivity and has higher research value and industrial prospect.

The invention relates to a plant image fine-grained classification method based on discriminant key domains and deep learning. According to the method, a CNN classification model considering a key domain and a global domain at the same time is used for carrying out fine-grained classification on to-be-classified images; the training process of the CNN classification model comprises the following steps: 1) obtaining an original plant image sample set, performing pixel-level semantic segmentation on an original plant image through DeepLab to obtain a discrimination key domain of a to-be-detectedtarget in the plant image, and forming a discrimination key domain image; 2) mixing the discrimination key domain image with an original plant image to form a classification training data set; and 3)training a GoogLeNet-based CNN classification model based on transfer learning, compared with the prior art, the method has the advantages of high classification accuracy, good robustness and the like, and the problem of low accuracy in fine-grained classification of plant images is solved.

The invention discloses a preparing method of a potassium sodium niobate (KNN) piezoelectric nanofiber flexible electricity generating element. According to the method, the preparation of a KNN precursor is provided; KNN nanofiber is prepared in a large area by an electrostatic spinning method; and the KNN nanofiber transfer and the device assembly are carried out, and the KNN piezoelectric nanofiber flexible electricity generating element is obtained. The preparing method has the advantages that excellent lead-free piezoelectric materials are adopted; the KNN nanofiber is used for forming the flexible piezoelectric electricity generating element; the element can be enabled to have high electric output; the length-diameter ratio of the nanofiber prepared by the electrostatic spinning method is high; the nanofiber crystallization can be realized through sintering treatment; equipment and preparation processes are simple; the cost is low; the preparing method can be used for batch production of the elements; the mechanical deformation of the nanofiber under the specific external force effect can be improved through good flexibility of the element; and the collection efficient of the element on mechanical energy is improved.

The invention provides bacillus amyloliquefaciens HAB-2, which has the collection number of CCTCC M 2015070. Although the key lipopeptide synthetase gene sfp gene is deleted, the surfactin substances can still be generated, indicating that the strain has a specific and distinctive biosynthetic pathway and has a remarkably high research value. The bacillus amyloliquefaciens HAB-2 has very strong ability of inhibiting pathogenic fungi, has a wide antibacterial spectrum and can inhibit multiple kinds of pathogenic fungi while the antibacterial effect is good and the antibacterial rate is high. Further research finds that the active ingredient can be directly obtained through simple treatment on the fermentation broth of the strain, and the antibacterial active ingredient is stable and has very high activity in strong acid and strong alkaline environments; the antibacterial activity is not changed after 24 hours of ultraviolet irradiation, and high temperature does not influence the antibacterial active ingredient; and the fermentation broth of the biocontrol bacteria realizes certain growth promoting effect on a plant.

The invention provides a crop image recognition method photographed by an unmanned aerial vehicle. The invention relates to a crop image recognition method photographed by an unmanned aerial vehicle (UAV), which is characterized in that the method comprises the following steps: (1) constructing attribute information of the crop image photographed by the UAV and performing preprocessing to obtain acrop image data set; S2. the convolution neural network model is pre-trained with the idea of transfer learning; S3, fine-tuning the convolution neural network pre-trained in the step S2 by using thecrop image data set obtained in the step S1, extracting features of different layers of the convolution neural network model, and combining the features to obtain image feature representations; S4, classifying the image features obtained in the step S3 by using the SVM classifier, completing the crop image classification, obtaining the classification result, and finally inputting the crop image captured by the unmanned aerial vehicle into the convolution neural network model in the step S3 for recognition. The invention can more effectively identify the target image data by using the labeledsample of the target image under the condition that the image data set is limited.

The invention provides a device and a method for preparing a spherical cavitation bubble, and belongs to the technical field of laser. A light path setting is fine adjusted according to judgment feedback of collected images, action parameters of laser and a liquid medium are controlled, and the output of a laser spherical cavitation bubble is realized. Therefore, the device and the method for preparing the spherical cavitation bubble have the advantages that the controllability is high, the operation is simple and the like.

The invention belongs to the control field and relates to an intelligent artificial limb movement system based on idiodynamics and control methods thereof. The problems of single recognition mode and low universality of an existing artificial limb system in the prior art are solved. The system comprises an electroencephalogram acquisition module, an electroencephalogram analysis module, a drive control module and a joint angle feedback module. The control methods include the control method in a training mode and the control method in a using mode. The training mode and the using mode are switched through a key. In the training mode, other electroencephalograms are selectively entered as required except a quiescent state, and the quiescent state is a necessary enter item to ensure accurate control of the system. When a user completes electroencephalogram entering in the training mode, a system state is switched to the using mode, and the user can send corresponding electroencephalograms to control the arms to execute corresponding actions.

The invention provides a polymerization method for preparing fluorine-containing alternating copolymer through gradual transfer-addition-ending with free radicals under the condition of visible light. The preparation method includes the following steps that 1, two types of bifunctional monomers A and B, a photocatalyst, a reducing agent and mixed organic solvent are simultaneously added into a reaction reactor and stirred till a system is in a homogeneous phase, after deoxygenization is conducted four times, the reaction container is sealed, and a homogeneous polymerization system I is obtained; 2, the temperature of the reaction container is set to be 25 DEG C, the rotation speed is set to be 1500-2000 rpm, the homogeneous polymerization system I is subjected to a polymerization reaction under visible light, and the reaction time is 0.5-24 hours; 3, after the reaction is ended, the reaction container is opened, tetrahydrofuran is added to dilute the system, the diluted substance is poured into methyl alcohol for sediment, then suction filtration and drying are conducted, and the fluorine-containing alternating copolymer is obtained. By the application of the novel polymerization method, the fluorine-containing alternating copolymer is obtained successfully, and the polymerization method is a brand-new polymerization method.

The invention provides a face sequence expression analysis method based on deep learning and mainly relates to classification of face sequence expressions through a multi-scale face expression recognition network. The face sequence expression analysis method comprises the steps that the multi-scale face expression recognition network (comprising three channels for processing face sequences with different resolution ratios of 128*128, 224*224, 336*336 and the like) is constructed, features in the face sequences with the different resolution ratios are parallelly extracted through the network, finally, the three kinds of features are fused, and thus classification of the face sequence expressions is obtained. According to the face sequence expression analysis method based on deep learning, the self-learning capability of deep learning is given to full play, limitation of manual feature extraction is avoided, and thus the adaptability of the method is higher; and parallel training and predicting are conducted through the structural features of a multi-stream deep learning network, finally, the classification results of a plurality of sub-networks are fused, the accuracy rate is increased, and the working efficiency is improved.

The invention belongs to the technical field of preparation of selenium-containing polymers, and discloses a method for preparing polyselenourea / polyselenoamide through multi-component polymerizationof elemental selenium, isonitrile / alkyne and amine. The method comprises: carrying out a reaction on elemental selenium, a binary triple bond compound and a diamine in an organic solvent under an inert atmosphere, and subsequently treating to obtain a selenium-containing polymer, wherein the binary triple bond compound is binary isonitrile or binary alkyne, and the selenium-containing polymer is polyselenourea or polyselenoamide. According to the present invention, the method has characteristics of mild reaction conditions, high efficiency, energy saving, no catalyst, no by-product generation,atomic economy, green chemistry, low monomer toxicity, high atom utilization rate and high yield (more than or equal to 90%); the group has strong tolerance, and a variety of functional groups can beintroduced into the monomer; and the polyselenourea / polyselenoamide is stable, and can be degraded under specific conditions.

The invention provides a multifunctional micro-fluidic chip used for simultaneous screening of a plurality of drugs and cells, belonging to the technical field of micro-fluidic chips. The multifunctional micro-fluidic chip used for simultaneous screening of a plurality of drugs and cells is composed of an upper PDMS micro-valve-controlled channel layer, a middle PDMS fluid channel layer and a lower glass substrate layer exerting supporting and cell attaching effect, wherein the PDMS micro-valve-controlled channel layer comprises a first micro-valve group and a second micro-valve group; the PDMS fluid channel layer comprises an array cell culture zone; and the PDMS fluid channel layer undergoes thermal bonding and is then integrated with the glass substrate layer through plasma bonding. The array cell culture zone is composed of a plurality of culture units and multiple stages of branch fluid sample introduction channels; the first micro-valve group is composed of linked micro-valves; and the second micro-valve group is composed of a plurality of independent micro-valves used for controlling connection and disconnection of a sample introduction port in a cell cavity with an S-shaped bent channel.

The invention discloses a vascular stenosis detection method and device. The method comprises the steps of acquiring a computed tomography angiography (CTA) image for a blood vessel to be detected; straightening and imaging the CTA image at a plurality of set angles to obtain a plurality of straightened images at a plurality of set angles; carrying out width measurement on the straightened imagesone by one, and outputting a width curve corresponding to the straightened image with the set angle; and performing plaque positioning screening on the width curve one by one, and determining a narrowarea of the blood vessel to be detected according to a plaque positioning screening result. By implementing the method and the equipment provided by the invention, the accuracy of vascular stenosis detection can be improved.

Belonging to the technical field of low temperature SCR denitration, the invention discloses an active carbon loaded iron-based low temperature SCR denitration catalyst, a preparation method and application method thereof. The preparation method includes: taking grinded activated carbon as the carrier, using an Fe oxide as the main active component, adding trace Mn or Co as the active assistant respectively, loading the active component on the carrier by impregnation method, then conducting magnetic stirring and drying treatment, and finally performing roasting in air atmosphere, thus obtaining the low temperature SCR denitration catalyst. The low temperature SCR denitration catalyst provided by the invention has the characteristics of convenient production, simple use, and good denitration effect at low temperature, can well solve the problems of low denitration efficiency and slightly high use temperature section in existing denitration catalysts, thus being conducive to prolonging the service life of the catalyst, and saving cost.

The invention discloses an in-situ device for small-angle X-ray scattering experiment. The in-situ device comprises a vacuum and atmosphere protection system, a stress load and measurement system and a temperature load and measurement system. Self-alignment of samples during stress load is realized in the stress load system by adopting design of pull-press stress transformation. Special design is adopted in the temperature load and measurement system, wide X-ray channels are realized while uniform of temperature field is guaranteed, and meanwhile, heating temperature of the samples can reach 1100 DEG C. By the arrangement, the in-situ device is simple in structure, reliable in performance, high in measurement accuracy and capable of loading in temperature and stress simultaneously on the samples under the vacuum or atmosphere protection environment. The in-situ device is used in cooperation with a synchrotron-radiation small-angle X-ray scattering line station, in-situ measurement of to-be-measured samples on microscopic deformation, damage and fracture process under the mechanics use environment can be performed, and an effective and reliable measurement method for discovering changes of deformation and microstructure of brittle material samples under the stress is provided.

The invention provides a polymerization method for preparing fluorine-containing alternative polymer through a photocatalyst. The polymerization method includes following steps: (1), adding two bifunctional monomers A and B, organic photocatalyst and promoter into a mixed organic solvent system, stirring in a reaction container to enable the system to be homogeneous, and sealing the reaction container after deoxidizing for four times; (2), setting temperature of the reaction container to 25 DEG C, and allowing polymerization reaction for 1-200h through photocatalysis in a condition that rotating speed is 1500-2000rpm; (3), after the reaction is finished, adding tetrahydrofuran to dilute a polymerization system, pouring into methanol, precipitating, suction-filtering, and drying to obtain the fluorine-containing alternative polymer. The organic photocatalyst is used to replace a conventional metal photocatalyst, a free radical step-by-step polymerization novel method which is simple, economical, efficient and environment-friendly is designed, and a brand-new method is provided to obtain various fluorine-containing alternative polymers having different microstructures.

The invention discloses a gas online quantitative mixed supercharging system for Raman spectrometer and an operation method thereof. The system comprises a gas input module, a supercharging module, and a gas output module. The gas input module comprises a volume transfer device, a vacuum pump, and at least one gas input pipeline. The gas input pipelines are individually connected to the gas inlet of the volume transfer device, the gas outlet of the volume transfer device is connected to the input end of the pressure container of the supercharging module, and the output end of the pressure container is connected to the gas output module. By introducing gas in different pipelines into the volume transfer device in sequence, the quantitative gas can be obtained, the quantitative gas can be evenly mixed and supercharged in the pressure container, and the quantitative mixed gas can be Raman-analyzed by a Raman detection module. The system has the advantages of simple and convenient operation, high safety, and well-sealed gas pipeline, through the system the relationships among the Raman spectrum, pressure and composition of fluids composed of different components can be studied more precisely, and thus the system has a high practical value for scientific research.

The invention provides a system for testing the electromagnetic anti-interference performance of a vehicle-mounted integrated ADAS function. The system comprises a radar target simulator, a video playing device and an EMS antenna which are arranged in an anechoic chamber, a controller and a radio frequency signal source which are arranged outside the anechoic chamber, and a signal transmission module for realizing the information transmission inside and outside the anechoic chamber. A millimeter-wave radar receives the echo signals sent by the radar target simulator under different simulationworking conditions, and an ADAS camera of a tested vehicle collects the road scene images which are played by the video playing device and are synchronous with the simulation working conditions of theecho signals. The system can carry out the electromagnetic anti-interference tests of a whole vehicle ADAS system under various simulation working conditions when the vehicle-mounted millimeter waveradar and the camera are fused, so that the electromagnetic anti-interference test of the automobile ADAS system is more consistent with the actual use conditions, the test result has more reference and research values, and the development and progress of the ADAS system are promoted.

The invention relates to a rapid solidification system for suspension large-dimension metal liquid drops under a micro-gravity condition. The rapid solidification system comprises a vacuum cavity, a suspension induction heating device, a motion detecting device and a rapid liquid quenching device, wherein the vacuum cavity comprises an electromagnetic suspension cavity, a micro-gravity cavity anda rapid liquid quenching cavity which are connected from top to bottom; the suspension induction heating device is provided with a tapered suspension induction coil which is formed by spiral winding,and the coil is arranged on the center of the electromagnetic suspension cavity for melting and suspending an alloy sample; the micro-gravity cavity is a hollow tube body, so that the alloy sample obtains micro-gravity; the motion detecting device is used for continuously and dynamically acquiring a temperature and a form of the alloy sample in dropping motion; and the rapid liquid cooling deviceis provided with a quenching cooling medium for realizing rapid liquid quenching solidification for the alloy sample. The rapid solidification system avoids heterogeneous nucleation generated by wallcontact while the sample is molten, so that the sample is deeply super-cooled, and therefore, tissue segregation caused by gravity effect is eliminated, and rapid solidification from millimeter-grademetal liquid drops to the centimeter-grade metal liquid drops is realized.

The invention discloses a wearable miniature camera recording device for operation and aims at solving a disadvantage that a lens of an existing device can not be directed at a key region in operation when the existing device records. The device comprises a miniature camera, a wireless transmitter, a wireless receiver and a rechargeable cell, the wireless transmitter is connected with a video and audio output line of the camera, and the device is characterized in that: the miniature camera is assembled on a wearable frame and the lens of the miniature camera is just between the left eye and the right eye of a doctor when the doctor wears the frame; the wearable frame can be an eyeglasses frame or a head band; and the wireless receiver is arranged in an area outside the wearable frame, in which a signal transmitted by the wireless transmitter can be received. The device is used for recording images and sound in operation, and storing, editing, replaying or live broadcasting the images and the sound.

The invention discloses a short-distance cable fault ranging system and a ranging method with a low-voltage pulse method. The short-distance cable fault ranging system comprises a single chip microcomputer control module, a keyboard input module, a display screen module, a pulse generation circuit, a pulse delay circuit, a high-speed acquisition module, a PC processing module, a power supply and a tested cable, wherein the single chip microcomputer control module, the keyboard input module, the display screen module, the pulse generation circuit, the pulse delay circuit, the high-speed acquisition module and the PC processing module are respectively connected with the power supply; the single chip microcomputer control module is connected with the keyboard input module, the display screen module, the high-speed acquisition module and the pulse generation circuit respectively; the pulse generation circuit is connected with the pulse delay circuit; the output end of the pulse delay circuit is connected with the high-speed acquisition module and the tested cable respectively; the high-speed acquisition module is connected with the PC processing module. By adopting the short-distance cable fault ranging system, blind test areas can be effectively reduced, and thus the cable fault ranging accuracy degree can be relatively high.

The invention discloses a restructuring the fifth of the ten Heavenly Stems type hepatitis virus protein, coded sequence and usage, which is characterized by the following: the HEV virus strain to prepare restructuring the ten Heavenly Stems vaccine is the first gene type; the HEV p179 is based on popular production of the forth gene type HEV virus strain and possesses stronger placement and practical value; the HEV p179 can get highly effective expression in pronucleus system and 90% protein is nature solubility; the HEV p179-VLPs with diameter at about 20nm is constituted by 179aa; the HEV p179-VLPs is smallest restructuring HEV protein compared to now eucaryon system and HEV VLPs of pronucleus system expression.

The invention provides a manufacturing method of a tobacco leaf primary color exsiccate. The method comprises the steps of shaping, color fixing, drying and moisturizing again. The shaping step mainly comprises: orderly overlapping absorbing paper, a moisture absorbent, absorbing paper and a specimen in a specimen holder; orderly overlapping the specimens in n layers (preferably 5-8 layers) according to the above form; fixing color for 15-18 hours at the constant temperature of 45-55 DEG C; drying for 3-6 hours at the constant temperature of 55-65 DEG C; and placing the absorbing paper and specimen in a room temperature environment with relative moisture of more than 70%, moisturizing again for 6-12 hours to obtain the primary color exsiccate. The specimen manufacturing is faster by usingthe method provided by the invention, and 6-8 days are shortened in comparison with the general pressing method, the color retention effect is good, and the color keeps the same in the specimen retention period; the water content is controlled in a range of 8-10% so as to prevent the specimen from brittle rupture and maintain the integrity of the specimen. The manufacturing method provided by theinvention is especially suitable for the manufacturing of the tobacco leaf primary color exsiccate, is especially in favor of storing the primary shape and color of the diseased tobacco leaf, and greatly improves the scientific research value and economy of the specimen.

The invention provides a V-Si alloy, a preparation method and an application method thereof. The preparation method of the V-Si alloy comprises the following steps: rough vanadium slag is smashed and magnetic separated to obtain fine vanadium slag containing 15 to 20 percent of V2O5 and 22 to 30 percent of TFe, and the fine vanadium slag and silicon material and a reducing agent are used as the materials and evenly dosed according to a certain proportion, and then mixed pellets are obtained; the obtained pellets and a slag modifier agent are reduced by melting in an ore-smelting electric furnace for 150 to 180 min, with the final temperature of 1630 to 1680 DEG C, and finally the V-Si alloy with 8 to 15 percent of vanadium and 30 to 50 percent of vanadium silicon is obtained. By using the V-Si alloy of the invention as the alloying material for the smelting alloy steel containing vanadium and silicon, the technological process is shortened, and the production cost and the energy consumption are reduced.