87results about How to "Strong promotion" patented technology

The invention discloses a knowledge distillation method and device. The knowledge distillation method comprises the steps that when a speaker is in a learning task, audio data of the speaker is inputinto a teacher model and a student model, wherein the teacher model and the student model involve speaker embedding extraction and speaker posterior probability distribution prediction respectively; the speaker embedding extraction of the teacher model is taken as the standard, and the difference between the speaker embedding extraction of the student model and the speaker embedding extraction ofthe teacher model is limited in a first preset range to optimize the student model; or the speaker posterior probability distribution prediction of the teacher model is taken as the standard, and thedifference between the speaker posterior probability distribution prediction of the student model and the speaker posterior probability distribution prediction of the teacher model is limited in a second preset range to optimize the student model; the optimized student model is used for deployment and / or prediction. Therefore a small model can be deployed and used by training the small model through a large model with good performance.

The invention relates to a transient state power quality disturbance classification recognition method based on BUD spectrum kurtosis. The method adopts the BUD spectrum kurtosis method to calculate kurtosis of two disturbing signals of transient state pulse and transient oscillation, selecting maximum value, minimum value and average value of the kurtosis as characteristic quantity and inputting SVM of PSO optimizing parameters to conduct practice tests. Simulation data are obtained through PSCAD / EMTDC, and the method is used for conducting analysis. Results show that the method based on the BUD kurtosis is capable of effectively extracting disturbance characteristic quantity and has good noiseproof performance. An SVM classifier can be used for recognizing two disturbances when small samples are overlapped with other disturbances, and recognition rate is high.

The invention belongs to the technical field of radar signal processing, and particularly relates to a radar radiation source identification method and device based on an extended residual network. The radar radiation source identification method comprises the steps: carrying out the time-frequency analysis of a radar signal, and converting the time domain waveform of the radar signal into a two-dimensional time-frequency image; preprocessing the time-frequency image to obtain input data of a deep learning network; and constructing an extended residual deep learning network model, and for input data, self-learning signal time-frequency image features by using the network model and carrying out classified identification. According to the radar radiation source identification method, the problems that a traditional method is sensitive to noise, low in extraction characteristic effectiveness and universality and the like are solved, and the excellent identification effect can still be kept for complex multi-class radar signals in the environment with the low signal-to-noise ratio; the radar radiation source identification method can solve the problems that a simple depth model is weakin learning ability, confusion time-frequency image similar signals and the like, and is good in confusion resistance, accurate in identification result and high in identification accuracy; and the radar radiation source identification method can be applied to radar radiation source identification of more types, and has very high adaptability and popularization.

The invention relates to a cold load prediction method based on support vector machine parameters optimized with the cat swarm algorithm. The method includes the following steps: (1) selecting prediction features of a cold load, (2) pre-processing historical data of the cold load, (3) analyzing the historical data of the cold load, (4) automatically optimizing the support vector machine parameters with the cat swarm algorithm, and (5) performing cold load prediction with an optimized support vector machine. The parameters of the support vector machine are optimized through the local searching capability and the global searching capability possessed by the cat swarm algorithm, so that the prediction capability of the support vector machine is promoted, and the effect of promoting prediction accuracy is achieved. Due to the cat swarm algorithm is applied to the optimization process of the support vector machine parameters, automatic optimization of the support vector machine parameters is achieved, and finally the prediction accuracy of the cold load prediction is promoted. The cold load prediction method based on the support vector machine parameters optimized with the cat swarm algorithm is high in practicality and strong in popularization capacity.

The invention discloses a short-term prediction method for marine environment monitoring factors. According to the method, an autoregressive model is adopted for a short-term prediction of marine environment input factors, and then a deep neural network method is adopted for a short-term prediction of output factors. When the characteristics of the autoregressive model and the characteristics of a deep neural network model are efficiently used, short-term input predicted values are obtained by means of the autoregressive model, then predicted values of the output factors are obtained by means of the deep neural network model, and thus the limitations that prediction of a traditional neural network model to time series data is insufficient in extracted substantive characteristics and limited in gradient descent are overcome. The method achieves the prediction of the marine environment monitoring factors, and has an important significance in a short-term forecast of the marine ecological environment, a short-term pre-warning of marine disasters and the like.

The invention discloses a classroom rapid roll-call and sign-in method adopting a face recognition technology based on deep learning, and relates to the technical field of computer vision, in particular to the face recognition technology. The classroom rapid roll-call and sign-in method comprises the steps that a camera at a mobile terminal quickly collects target face videos and generates an IP address; a server is connected with the IP address provided by the mobile terminal under an ubuntu system and generates pictures frame by frame; key points of the face pictures are detected according to an MTCNN algorithm, and a Procrustes analysis method is selected to conduct face aligning; according to the aligned face pictures, a FaceNet algorithm is selected to conduct face vector characterization; and collected face vectors are compared with characteristic vectors of the face pictures in a database, the face picture most similar to a target face picture is found out according to a certainthreshold, and a text file is generated. According to the classroom rapid roll-call and sign-in method, face images are quickly scanned based on a deep learning method, and the face pictures affectedby the factors such as makeup, light and the identification background can be recognized quickly and accurately through the mobile terminal.

The invention relates to a display device inverse characterizing method capable of solving problems that mass data need to be stored when a display device is characterized inversely and characterizing precision is not high enough in the prior art. According to the technical scheme, the method includes that for colors to be displayed, a motivation value RGB (red, green, blue) value corresponding to the color to be displayed is primarily calculated by the aid of chromatic values XYZ; then the RGB value is substituted into a display device forward characterizing model, calculating corresponding tristimulus values X'Y'Z', and calculating color difference between the XYZ and the X'Y'Z'; if the color different is larger than a designated threshold, the motivation value RGB is readjusted, and above process is repeated till the color different meets requirements. With the method, display device inverse characterizing precision can be obviously improved, calculating speed is increased, precision of the reproduced color of the display device is improved, error in color reproduction of the display device is reduced, precision of images of the display device can be obviously improved, and the display device inverse characterizing method is applicable to inverse characterizing of commercial LED displays and various of mobile terminal display screens.

The invention relates to a seedling cultivation method of ammopiptanthus nanus in a desert. The method comprises the following links: seed treatment, seed collection, nutrient soil proportioning, seeding, seedling management, seedling hardening and transplanting. The method has been subjected to test and seedling production practice for many years in Turpan Desert Botanical Garden of the Chinese Academy of Sciences. The germination survival rate is 85%, the seedling survival rate is 75-70%, the environment is improved, the effect of wind prevention and sand control is achieved, the ammopiptanthus nanus in the desert has advantage in term of the ecological protection, and therefore the ammopiptanthus nanus becomes ideal sand-fixation species for ecological environmental management of an arid desert region in term of wind prevention and sand fixation in future. The method has the advantages of good operability, scientific and reasonable technique process, strong repeatability and reliability, and strong universality and generalizability.

The invention relates to a three-dimensional shock absorbing and isolating device and a mounting construction method thereof. The three-dimensional shock absorbing and isolating device comprises a laminated rubber horizontal shock isolating pad arranged on the upper portion and a laminated polyurethane rubber vertical shock absorbing pad arranged on the lower portion; the upper end of the horizontal shock isolating pad is connected with the lower end of an upper buttress through fixing bolts; the lower end of the horizontal shock isolating pad is connected with the upper end of the vertical shock absorbing pad through fixing bolts; and the vertical shock absorbing pad is connected with the upper end of a lower buttress through fixing bolts. According to the three-dimensional shock absorbing and isolating device and the mounting construction method thereof, the manufacturing technology is simple, processing and forming are facilitated, and the cost is low; the size is small, the weightis low, and transportation and mounting are facilitated; and the horizontal shock isolating and vertical shock absorbing effects are significant, under the premise that vertical small deformation is guaranteed, the vertical earthquake action of a superstructure is effectively reduced, meanwhile, a damper can also achieve the vertical shock absorbing action, and the vertical shock absorbing capacity is greatly improved.

The invention discloses a planning method of an automatic driving system. The invention discloses a planning method of an automatic driving system. The method comprises the steps that S1, acquiring acurrent road environment image g by the system, using a filter in the convolutional neural network to extract the structure and road condition information Phi of the road image; and obtaining reward information R of the current road environment image through the mapping function fR, obtaining initialization of a kernel function Kwp for irregular graph convolution operation through the mapping function fP, and using an adjacent matrix of the image as an activation parameter of the Kwp to obtain an initial convolution operation sub-P. The deep reinforcement learning method based on the generalized asynchronous value iterative network model has the beneficial effects that the problem that an existing automatic driving system cannot carry out high-success-rate and high-accuracy road planning in a road environment with a complex structure and unknown road condition information can be well solved.

The invention discloses a liver-protecting combination, which belongs to a health-care product. The combination consists of the following extracts in part by weight: 14 to 22 parts of astragalus Root, 8 to 16 parts of lucid ganoderma, 4 to 8 parts of dandelion, 8 to 10 of kudzu-vine root, 6 to 10 parts of turmeric, 6 to 10 parts of oriental waterplantain rhizome and 8 to 16 parts of propolis powder; and the combination has an adjuvant treatment effect on chemical liver injuries, and can quickly improve the immunity of the body. The components of the combination are simple and have tiny toxic and side effects and an obvious health-care effect. The invention provides an ideal health-care product for patients with liver injuries and subhealthy people.

The invention relates to a finishing rust removal device and method for liners. The device and the method are used for removing rust on the inner surfaces of bottles of aerospace gas path systems. According to the structure of the device, a motor I is mounted on a base and connected with a platform through a transmission unit I, a motor II is mounted on the platform and connected with a bottle body through a transmission unit II, and a fixing frame for fixing the bottle body is arranged above the platform. According to the device and the method, a finishing rust removal technology is used, and rust removal is achieved through grinding of grinding materials and the inner surface of the bottle body, so that corrosion substances in the cavity of the inner surface of the bottle body are effectively removed, problems of hydrogen embrittlement caused by acid pickling and uncompleted cleaning of local corrosion of sand blasting are solved, and the high generalization performance is provided for the inner surface rust removal of bottle bodies.

The invention provides a method and system for fast determining road network disease relative positions and belongs to the field of road maintenance. The method includes: preprocessing road data; performing dynamic road segmentation to form road unit information, and building a road network map service at the same time; correcting patrol trajectories, to be more specific, by a patrol terminal, correcting GPS trajectory information according to the road network map service; matching roads, to be more specific, when diseases exist, by the patrol terminal, matching the roads where the current diseases are located according to a map route matching method; by the patrol terminal, updating disease position information and disease feature information; determining the disease relative positions, to be more specific, calculating the relative positions of the current diseases according to the disease position information uploaded by the patrol terminal. By the method and system, road patrol efficiency is increased, and patrol time cost is saved.

The invention relates to the field of the medical microecology, in particular to a new vaginal microecological evaluation system and a reagent kit used for measuring and evaluating the vaginal microecology; the vaginal microecological system of the invention comprises the evaluating items that: the intensity of flora, the diversity of flora, dominant bacterium and reason bacterium; by using the system of the invention, three vaginal inflammations of BV, VVC and trichomoniasis which are common in clinic can be diagnosed fast at one time, and the problem existed in the vaginal microenvironment of patients with vaginal inflammation can be found; the most important is that microecological evaluation can be carried out for the patients with vaginal inflammation which comprises symptoms of increasing leucorrhea and pruritus vulvue, etc. without special pathogenic bacteria in the current clinic and is hard to diagnose by the existing method, the clinic drug is guided and evaluation is prognosed, thus achieving the purpose of guiding the clinical treatment.

The invention provides a GIS-based quick typhoon path prediction method and belongs to the technical field of disaster prevention and reduction. The method comprises the steps of firstly performing similar typhoon path identification for identifying historical typhoon data with a similar path with current typhoon; secondly based on the historical similar path, performing future typhoon path prediction, and predicting a possible path of the typhoon in future 24 hours and 48 hours; and finally realizing the prediction process in a GIS platform, and according to the current typhoon path, realizing quick and automatic future path prediction. For checking the reasonability of the method, more than 100 historical typhoon samples are selected from records of 10 years to perform prediction; the precision of 24h and 48h position prediction is close to the prediction precision of the China meteorological agency, but no support of a supercomputer is needed, and a result can be given within a fewminutes; and the method can serve as an early quick prediction method for wind prevention command decision making of a local wind prevention emergency department before a meteorological department issues a formal meteorological forecast.

The invention discloses a preparing method of a fluororubber / nanofiller composite material. The method comprises the steps of firstly preparing nanofiller hydrosol or nanofiller pre dispersion liquid; then using a rubber internal mixer to conduct plastify on the fluororubber, raising the temperature of the internal mixer to 120-200 DEG C after plastification, gradually adding the nanofiller hydrosol or the nanofiller water pre dispersion liquid into the rubber internal mixer, mixing, and adopting hot air to dry the material after evaporation of water finishes so as to prepare fluororubber / nanofiller mixture; adding the fluororubber / nanofiller mixture, zinc oxide, triallyl isocyanurate, dicumyl peroxide in a rubber mix mill, mixing evenly, conducting out slice, and stopping putting so as to prepare a fluororubber / nanofiller rubber compound; conducting vulcanization of the fluororubber / nanofiller rubber compound on a press vulcanizer to prepare the fluororubber / nanofiller composite material. The preparing method of the fluororubber / nanofiller composite material is simple in technology, free of pollution of solvent, free of dust flying upward, green and environmentally friendly, and capable of being applied to various recombination of nanofiller and rubber and being popularized.

The invention relates to the technical field of agricultural byproducts processing, and particularly provides sweet corn syrup lactic acid bacteria beverage and a preparation method thereof. The lactic acid bacteria beverage is prepared by taking fresh sweet corn syrup lactic acid bacteria, brown sugar, glucose, whey powder and the like as raw materials, and mixing the raw materials with lactic acid bacteria. The lactic acid bacteria beverage has rich corn flavor and proper sourness and sweetness, is fine in texture, contains abundant dietary fibers as no peeling and filtering procedures exist, and is uniform without layering. In the beverage, the viable bacteria of lactic acid bacteria exceed 6 billion CFU / mL, so that the beverage is beneficial to regulating the intestinal health of a human body and improving the immunity of the organism, and is a pure natural beverage needed by modern people.

The invention relates to a corrosion fatigue life prediction method based on a BP neural network and application. The prediction method comprises the following steps: selecting maximum stress, stress ratio, loading frequency and pH value of a solution as main factors influencing corrosion fatigue life; designing and processing a corrosion solution circulating device matched with a corrosion fatigue test, and carrying out a corrosion fatigue circulation failure series experiments on a high-strength sucker rod sample in a specific production environment, collecting and neatening experiment data and dividing the experiment data into training samples and prediction samples; setting artificial neuron network parameters, and establishing nonlinear mapping between the influencing factors and the corrosion fatigue life; training and testing a nervous system; and predicting the corrosion fatigue life of a new sample. The corrosion fatigue life prediction method based on the BP neural network has the beneficial effects that the corrosion fatigue life of a high-strength sucker rod is predicted by high non-linear approximation capability of the BP neural network model, and operation is simple; and the prediction method is high in generalization performance, and engineering application is facilitated.

The invention provides a dripping pill preparation for removing phlegm and relieving cough, which mainly comprises root of ballon flower, caffeine, polygala root, boneol, bitter apricot seed, Chinese gall and licorice root. The invention also provides the process for preparing the dripping pill preparation.

The invention discloses a method for controlling the early leaf fall of a pear tree. The method comprises the step of spraying a leaf fertilizer consisting of chlormequat chloride, urea, plant ash or monopotassium phosphate and calcium disodium edetate dehydrate on leaves on the basis of the existing chemical control once on the third day, 15th day and 30th day after harvesting fruits. According to the method, in accordance with the basic theory of the phytophysiology and the plant nutrition, the chlormequat chloride and a nitrogen, potassium and calcium compound fertilizer are dressed on the leaves of the pear tree while the chemical control is carried out, and thus the leaf nutrition is increased, the leaf senescence and falling are delayed; and through three-year continuous tests, the control rate of the early leaf falling of the pear tree is increased to 65-80 percent.

The invention relates to a retaining wall crack identification method based on a CNN and an SVM. An unmanned aerial vehicle equipped with a monocular camera is adopted to collect and establish a retaining wall crack identification database; image data preprocessing and data enhancement are carried out; a retaining wall crack recognition algorithm model is established based on the CNN and the SVM;the algorithm model is trained to obtain an optimal retaining wall crack recognition algorithm training model; the unmanned aerial vehicle collects retaining wall pictures in real time and uploads theretaining wall pictures to the upper computer through a cloud network; and the upper computer carries out preprocessing and carries out crack identification on the picture of the retaining wall by using a pre-trained model. Based on the images collected by the unmanned aerial vehicle, the cracks of the retaining wall can be accurately recognized through the intelligent algorithm, the retaining wall can be repaired easily, the manual inspection cost is reduced, and the efficiency is improved.

The invention belongs to the field of traditional Chinese medicine, and discloses an epidermal growth factor complex lipidosome, and a preparation method and an application of the lipidosome. The epidermal growth factor complex lipidosome is prepared by the following raw materials in parts by mass: 0.1-5 parts of epidermal growth factor, 5-30 parts of yeast extract, 5-30 parts of magnolol, 5-30 parts of sea buckthron oil, 40-200 parts of hydrogenated lecithin, 10-50 parts of cholesterol, 10-50 parts of glycerol and 5-30 parts of vitamin E. The lipidosome is simple in technology, safe, nontoxic, mild in property and stable in effect, and has small skin irritation.

The invention belongs to the technical field of plate shape prediction methods, and particularly relates to a rolling process plate convexity prediction method based on a support vector machine, whichcomprises the following steps: S1, collecting field data by using a high-precision monitoring device; S2, preprocessing the acquired data; S3, establishing a CS-SVM training model; and S4, carrying out CS-SVM network regression prediction. According to the invention, the CS algorithm is combined with the SVM to predict the convexity of the board; the method has the advantages of few parameters, simplicity in operation, easiness in implementation, random path search, high optimization capability, capability of converging to global optimum and the like; the defects of difficult parameter detection and poor precision in the hot rolling production process are overcome; the result shows that the absolute error of 98.11% prediction convexity is smaller than 4.5 mu m, the prediction precision ishigh, the operation speed is high, a large amount of production data collected on site can be directly programmed on a computer to be put into use, the cost is low, and the popularization capacity ishigh. The method is used for predicting the convexity of the plate in the rolling process.

The invention relates to a direct current protection circuit and a protection method thereof. The direct current protection circuit comprises a circuit monitoring system and a switching circuit; the circuit monitoring system comprises a monitoring module, a time-delay circuit and a power supply circuit for supplying working power supply for the monitoring module; the switching circuit comprises a load and a switching tube connected with the load for protecting the load from being damaged in a short-circuit or over-load state; the drain of the switching tube is connected with the input end of the monitoring module; and the input end of the time-delay circuit is connected with the output end of the monitoring module while the output end is connected with the gate of the switching tube. The direct current protection circuit and the protection method thereof provided by the invention have high stability, low cost and high cost performance as well as quite high popularization and practical application values; and two solutions and different time-delay protection mechanism are adopted for short circuit and overload conditions, and slow on-off of the switching tube is controlled through the time-delay circuit, so that frequent switching and restart of electronic equipment can be avoided, and after fault removal, re-power-on of a protection module is not needed.

The invention relates to a method for improving the branch and leaf yield of greater-leaf fast-growing cassia. The method comprises the following steps: (1) an appropriate period for greater-leaf fast-growing cassia planting is selected; (2) an appropriate planting site is selected: (3) weeding is carried out; (4) soil plowing and flattening are carried out; (5) a drainage system is constructed; (6) adequate base fertilizer is applied; (7) greater-leaf fast-growing cassia seedlings are prepared; and (8) the greater-leaf fast-growing cassia seedlings are planted with a lodging method. With the method provided by the invention, the branch and leaf yield of fast-growing cassia can be significantly improved.

The invention relates to the field of vehicle body dent repair tools, and particularly to a bridge type vehicle body dent repair tool which comprises a gap bridge, a main hand wheel, a screw, a suction drawing head, two small hand wheels, two support rods and two support pads, wherein the main hand wheel and the small hand wheels are arranged at the top of the gap bridge; the suction drawing head and the support pads are arranged below the gap bridge; a first support rod hole, a screw hole and a second support rod hole are formed in the gap bridge in sequence from left to right; the bottom of the screw is fixedly connected with the top of the suction drawing head; the top of the screw penetrates through the screw hole from a part below the gap bridge to be connected with the main hand wheel; the two support rods respectively penetrate through the first support rod hole and the second support rod hole; the opposite two ends of each of the support rods are connected with the corresponding small hand wheel and the corresponding support pad; the length of the rod part of the main hand wheel is 5-7 times that of the rod part of the small hand wheel; the diameter of the handgrip part of the main hand wheel is 2-3 times that of the handgrip part of the small hand wheels. Compared with the prior art, the bridge type vehicle body dent repair tool has the advantages that the operability is good, the practicability is high and the stability is strong.

The invention discloses a fouling fog, ice and snow flash and bird strike prevention double-dovetail type insulator shielding cover and a protection method thereof. The fouling fog, ice and snow flash and bird strike prevention double-dovetail type insulator shielding cover comprises two wedge-shaped wire grooves for a lead to penetrate, wherein the two wedge-shaped wire grooves are formed in a circular-arc-shaped casing; a flexible annular inner skirt which is matched with a porcelain bottle is arranged in the circular-arc-shaped casing; the annular inner skirt is provided with two lead grooves which are matched with the wedge-shaped wire grooves respectively; the circular-arc-shaped casing is provided with a conical spine; each wedge-shaped wire groove and each lead groove are filled with wedge-shaped sealing strips. The fouling fog, ice and snow flash and bird strike prevention double-dovetail type insulator shielding cover is widely applied to a pin insulator which is arranged on a 35 kv and 35 kv below voltage grade alternating current and direct current power transmission line to prevent disasters such as the fouling flash, the fog flash, the ice flash, the snow flash, the bird strike and the lightning stroke, the insulation is good, the weather resistance is good, the installation and the detachment are convenient, the durable effect is achieved, the cost is low, the functions are diversified, and the service life is more than 8 years.

The invention relates to a reverse demulsifier for heavy oil produced fluid and a preparation method of the reverse demulsifier. The method comprises the following steps: (1) polyvinyl alcohol and 2,3-epoxy propyl trimethyl ammonium chloride are subjected to a reaction under the condition of alkali catalysis, and comb-type cation modified polyvinyl alcohol is obtained; (2) diethylamine and epichlorohydrin are subjected to a polymerization reaction in the presence of a crosslinking agent polyethylene polyamine, and a quaternary ammonium salt type epichlorohydrin-diethylamine polymer is obtained; (3) zinc hydroxide and acrylamide are subjected to a polymerization reaction in an oxidation-reduction initiation system, and hybrid zinc-based polyacrylamide is obtained; (4) cationic modified polyvinyl alcohol, an ethylene oxide-diethylamine polymer, hybrid zinc-based polyacrylamide and water are mixed, and the reverse demulsifier is obtained. The reverse demulsifier has good demulsification and oil-water separation effects on heavy oil or oil sand produced fluid produced with a steam thermal recovery process; besides, the preparation method has the characteristics that operation is simple, and requirements for equipment are low.

The invention relates to an agricultural plant growth assistant and particular relates to a high-pesticide-efficiency and low-toxin seed dressing agent capable of preventing pests and diseases in a seedling stage of wheat and promoting healthy growth of wheat plants. The seed dressing agent is prepared by the following steps of: stirring and blending raw materials including phorate, carbendazim, zinc sulfate, monothiophosphate, fulvic acid, 0204 emulgator, 0201 emulgator, ethanediol, penetrant, diffusant, S mono-powder, kaolin and white carbon black; detecting the grinding fineness of the mixture after carrying out rough grinding and fine grinding; when the grinding fineness of the mixture reaches the particle size of an intermediate product, heating the intermediate product to 60-70 DEG C; adding water, cyanopropyl acid and rose purple and mixing; detecting whether the viscosity and the content of each effective ingredient are qualified, and controlling the pH value t 7-7.5; and packaging finished products. The seed dressing agent for the wheat has the beneficial effects that the process flow is simple, the investment is relatively small, insecticidal efficacy is good, the effect of quick acting is achieved, the environmental pollution is relatively low, and the toxin is low; and the root growth and development of the wheat are promoted, the pests are killed, and the diseases are treated.

The invention belongs to the field of the chemical industry, and in particular relates to a platinum-tantalum bimetallic catalyst for producing n-butanol and a preparation method and application thereof. The catalyst uses platinum-tantalum bimetal as an active component and rare earth metal as an auxiliary agent; a catalyst carrier is silicon dioxide. The catalyst is prepared by loading the activecomponent and auxiliary agent by an impregnation method, and then carrying out roasting. The catalyst is used, ethanol is used as a raw material and nitrogen is used as a carrier and a gas-solid heterogeneous reaction is performed under the reaction pressure of 2-5 MPa and the reaction temperature of 260-350 DEG C to obtain n-butanol. By using ethanol as the raw material to produce butanol, the dependence on petroleum is eliminated, and hexanol with higher added value is co-produced, and the economic benefit is good. The by-product of the reaction is water, which is green and environmentallyfriendly. The preparation method of the invention is simple and has strong replicability and popularization. In addition, the catalyst does not need to be reduced before the reaction, thus reducing the reaction steps, facilitating the operation and reducing the energy consumption.