108results about How to "Implement the build" patented technology

The invention relates to the field of milling, in particular to a modeling method and system for a morphology model of a milling surface, and the method comprises the steps of data collection, data preprocessing, feature extraction, model construction and model verification and optimization. According to the modeling method and system, various actual factors in milling are fully considered, including tool abrasion, cutting force vibration, workpiece material non-uniformity and the like, the fitting degree of the model and the actual milling surface appearance is improved, and the microscopic geometrical characteristics of the machining surface can be reflected more accurately; a machine learning algorithm is adopted to construct a model, so that a complex milling process parameter combination relationship can be flexibly processed, the applicability and accuracy of the model under different milling process parameters are improved, and accurate evaluation of part performance and optimization of a machining process are facilitated; the system is complete in structure, all the modules are clear in division of labor, and the construction, verification and optimization process of the morphology model of the milling surface can be efficiently achieved.

The invention belongs to the field of characteristic measurement of piezoelectric actuators, and relates to a modeling and compensating method for dynamic composite hysteresis of a piezoelectric actuator under a time-varying large load. A dynamic hysteresis characteristic test system of the piezoelectric actuator is built to collect load and displacement signals. Based on an improved asymmetric slope Prantl-Ishlinskii algorithm, carrying out modeling on asymmetry and zero drift characteristics of hysteresis rings, fitting static hysteresis rings of force-bit and electricity-bit, and superposing the static hysteresis rings to form a static composite hysteresis model; a dynamic composite hysteresis model is established according to the wide-frequency-domain excitation requirement of the driver, and an ASI parameter controller is designed based on an LSTM algorithm to dynamically regulate and control the slope and the threshold value of the model; a parameter controller fault-tolerant mechanism is designed to restrain model instability caused by sudden disturbance and control over-regulation, and high-precision real-time hysteresis prediction is ensured; and calculating the real-time control voltage and compensating the dynamic hysteresis by solving the inverse model of the dynamic composite hysteresis model and inputting the expected displacement.

The invention belongs to the technical field of electromechanical equipment fault diagnosis, and discloses a wind turbine generator transmission chain online fault diagnosis method, which specifically comprises the following steps: S1, adopting an SCADA (Supervisory Control and Data Acquisition) system to collect environment, electrical and vibration multi-source monitoring parameters of a wind turbine generator in real time and pre-process the parameters, thereby effectively improving the accuracy and availability of data; s2, through the design of a multi-source feature association fusion module, complementarity of environment, electrical and vibration parameters is fully utilized, and the accuracy and reliability of fault diagnosis are improved; s3, a teacher-student network framework is constructed, online fault model construction and real-time diagnosis are achieved, the real-time performance and the intelligent level of fault diagnosis are improved, due to the application of a class balance sampling mechanism and a positive and negative combined learning strategy, the influence of continuous state label offset is eliminated, pseudo label noise interference in online samples is effectively reduced, and the real-time performance of fault diagnosis is improved. And the adaptive diagnosis capability of the model in a working condition environment dynamic change scene is improved.

The invention discloses an active learning-based electric power knowledge graph construction method and system, and relates to the technical field of electric power market transaction data analysis, and the method comprises the steps: collecting data, cleaning the collected data, generating word prediction task data of an electric power transaction scene, and training an electric power field word embedding model; generating an entity relationship training sample, inputting a word embedding model, performing entity relationship label prediction through an entity relationship joint extraction model, extracting a high-quality sample based on active learning to perform part-of-speech tagging, and training the model based on a tagged sample; and applying the trained entity relationship joint extraction model to power transaction data to construct a knowledge graph, performing manual correction and entity unification, and storing the knowledge graph into a Neo4j database. According to the method, active learning and deep learning are combined, so that the sample labeling cost is effectively reduced, and meanwhile, the model performance is ensured.

The invention discloses a vehicle-mounted bidirectional power converter which comprises a pre-stage voltage stabilization module, a pre-stage driving circuit, a post-stage driving circuit, a post-stage filtering module and an electric vehicle battery module, the pre-stage voltage stabilization module is used for balancing circuit voltage and supporting reactive power, the pre-stage driving circuit is of a single-phase full-bridge AD-DC topological structure, and the post-stage filtering module is of a single-phase full-bridge AD-DC topological structure. The front-stage driving circuit is of a half-bridge type bidirectional DC-DC topological structure, the rear-stage driving circuit is of a half-bridge type bidirectional DC-DC topological structure, the front-stage driving circuit and the rear-stage driving circuit are connected together through a direct-current voltage-stabilizing bus, the size is small, the weight is light, a front stage and a rear stage do not interfere with each other, control is easy, the rear-stage filtering module is used for restraining direct-current side second harmonics, the harmonic quantity is prevented from influencing the stability of output direct-current voltage, and the output direct-current voltage is stable. According to the converter, a corresponding control method is designed, non-inductive decoupling control and a single-phase phase-locked loop of an improved loop filter are adopted, the phase of a power grid is accurately and efficiently obtained, and the converter works stably.

The invention relates to a rapid conversion method and system from explicit geometry to implicit geometry, and the method comprises the steps: constructing a linear boundary body hierarchical structure for an input triangular grid, and constructing an octree structure; nodes of the octree structure are used as sampling points, and an adaptive grid unsigned distance field is calculated in parallel for each sampling point; calculating a pseudo normal of the triangular mesh by using an angle weight pseudo normal algorithm, and calculating a symbol of the unsigned distance field of the adaptive mesh by using the pseudo normal of the triangular mesh; and determining data of the sign distance field according to the adaptive grid unsigned distance field and the sign of the adaptive grid unsigned distance field, and completing conversion from implicit geometry to explicit geometry. According to the method, the conversion from implicit geometry to explicit geometry can be quickly realized, the conversion efficiency is greatly improved while high precision is kept, and the performance of graphic processing, physical simulation and application scenes can be improved.

The invention discloses a Neper-DEM-based apparent crystal rock modeling and calculation method with a bedding structure, relates to the field of numerical calculation of a tunnel engineering technology, and solves the problem that a simulation and calculation method for apparent crystal rocks with transverse isotropy such as gneiss and granite gneiss is lacked in the prior art. The method comprises the following steps: constructing a polycrystal structure with crystal characteristics in Neper, and generating a geometric parameter text of crystal grains from the polycrystal structure; constructing a discrete element rock sample model in the DEM; performing a numerical simulation test on the discrete element rock sample model to obtain a stress-strain curve and a sample failure mode, wherein the numerical simulation is realized by adopting a Brazilian splitting test and a triaxial test; according to a numerical simulation result, discrete element sample calculation parameters are calibrated, and the effectiveness of the modeling and calculation method of the discrete element rock sample model is verified; according to the modeling method, construction and assignment of the crystal structure and the bedding structure are achieved at the same time, so that the rock structure is closer to a real rock structure.

The invention belongs to the technical field of water conservancy projects, and provides a river topography generation method and system, a storage medium and electronic equipment, and the method comprises the steps: collecting data needed for generating a river topography, dividing the river topography into a topography above the highest water level, a topography below the lowest water level, and a topography between the highest water level and the lowest water level, extracting a waterline, a center line and an overflowing section; calculating a relative stability index of an overflow section, identifying a stable river reach in the river channel, and dividing the stable river reach into a curved river reach and a straight river reach; the waterline of the curved river reach and the straight river reach is endowed with an elevation value to obtain a contour line; a terrain above the highest water level, a terrain between the lowest water level and the highest water level and a terrain below the lowest water level are constructed, and the three terrains are spliced to form a complete river channel terrain. According to the method, non-contact generation of the river terrain is achieved, a terrain foundation is provided for hydrodynamic analysis, and the method plays an important role in flood simulation, drainage basin management and ecological protection.

The invention relates to a multilevel semantic perception map construction method for a distributed slam system, and the method comprises the steps: collecting site information, and obtaining an alternative matching frame based on the site information; extracting a feature value from the alternative matching frame, generating a vector as a segment description of the feature value, processing the segment description, and obtaining processed point cloud data; based on the processed point cloud data, constructing a probabilistic 3D occupancy grid map, performing plane segmentation on the probabilistic 3D occupancy grid map, and constructing a 2D grid map; inputting the 2D grid graph into a convolutional neural network model for image depth estimation and semantic segmentation to obtain depth information and semantic information; fusing the depth information and the semantic information to obtain three-dimensional semantic point cloud data; and based on the three-dimensional semantic point cloud data and the camera attitude, obtaining and optimizing a three-dimensional semantic graph. According to the method, the advantages of geometric information of a traditional slam system and the deep learning technology are combined, and efficient sensing and modeling of the environment are achieved.

The embodiment of the invention provides a point cloud registration method and device and intelligent mobile equipment, and relates to the field of artificial intelligence. The method comprises the following steps: acquiring a to-be-registered point cloud; determining an initial pose of the intelligent mobile device in a preset global coordinate system when the to-be-registered point cloud is generated; determining a target global pose of the to-be-registered point cloud in a global coordinate system based on the initial pose and distance values and normal vectors recorded by each grid of a preset grid map; wherein the distance value and the normal vector recorded by each grid of the grid map are obtained by updating the registration result of each frame of environment point cloud before the to-be-registered point cloud; and determining a registration result of the to-be-registered point cloud based on the target global pose. By applying the scheme provided by the embodiment of the invention, the global pose of each frame of environment point cloud detected by the intelligent mobile equipment in the global coordinate system can be determined in the process of constructing the scene map of the strange scene into which the intelligent mobile equipment enters.

The invention provides an intelligent velocity field modeling method for a well control complex medium. The intelligent velocity field modeling method for the well control complex medium comprises the steps of 1, importing well seismic data; 2, calculating a time domain speed curve based on the well speed curve and the time-depth relation; step 3, acquiring event slope information, and calculating a local dip angle of the stratum structure; and 4, establishing a transverse prediction equation, and constructing constraint velocity field interpolation by using an inversion interpolation algorithm to obtain a final three-dimensional velocity field. According to the well control complex medium intelligent velocity field modeling method, well logging information is fully utilized, an inversion interpolation equation is established through seismic local dip angle structure trend constraint, and well control complex medium intelligent three-dimensional velocity field modeling is achieved.

The invention discloses a method for improving UHF RFID (Ultra High Frequency Radio Frequency Identification) tag positioning precision based on an SAR (Synthetic Aperture Radar) method, which is applied to the field of RFID positioning and aims to solve the problem of poor UHF RFID tag positioning precision based on the SAR method in the prior art. The method comprises the steps of processing a measurement phase of a label backscattering signal, performing traditional SAR-based label position estimation, using continuous phase unwrapping and solving a hyperbolic curve intersection point as a reference point. On the basis of an original measurement phase, fine phase unwrapping of a wider-distance (multiple wavelengths) reader-writer antenna position is realized by using a reference point, and construction of a larger-focal-length hyperbolic curve group is realized on the basis of the fine phase unwrapping; by adopting the combined phase unwrapping method provided by the invention, the problem of accumulation of multipath errors of traditional phase unwrapping is improved to a great extent. Therefore, the hyperbolic curve with a larger focal length can be constructed, the anti-noise capability of the positioning hyperbolic curve model is improved, and a better positioning effect is obtained.

The invention provides an attack chain construction method and device, a network target range construction method and device and a server. The attack chain construction method comprises the steps of obtaining a utilization result of a first vulnerability; judging whether the utilization result of the first vulnerability is related to a utilization condition of a second vulnerability or not; and under the condition that the utilization result of the first vulnerability is related to the utilization condition of the second vulnerability, constructing an attack chain about the first vulnerability and the second vulnerability, and constructing a network target range according to the obtained attack chain. The attack chain determined by the method can more comprehensively and stereoscopically display the vulnerability utilization relationship in the network target range, the vulnerability of the network target range is intuitively reflected, and the network target range constructed by the attack chain determined by the method has relatively high integrity, so that the operation experience of a user is improved.

The invention belongs to the technical field of complex network analysis, and particularly relates to a community discovery method and device based on a binary symbol network and computing equipment. The method specifically comprises the following steps: step S101, establishing node and edge connection relation data of a bipartite symbol network according to evaluation relation data of a user and a commodity; s102, for two nodes with common secondary nodes in the main node set, according to the edge connection relation of the network and the weight of the secondary nodes, the edge connection weight value of the two nodes is calculated, and a main node set network adjacency matrix W is constructed; step S103, according to the adjacency matrix W of the main set node network, calculating to obtain an embedding matrix Y of the nodes and a community membership matrix C; and S104, adjusting the network adjacency matrix W according to the calculated node community membership matrix C, then re-optimizing the node embedding matrix Y and the node community membership matrix C to form iterative optimization, and finally obtaining a node embedding and community division result.

The invention relates to the technical field of video survey, in particular to an electric power operation point cloud map construction method and system based on an inspection robot. The method comprises the following steps: acquiring multi-source sensor data of a power operation environment; carrying out synchronous calibration on the obtained multi-source sensor data, and checking the time consistency of the multi-source sensor data; carrying out point cloud registration by using an improved point cloud registration algorithm on the premise of passing the time consistency verification to obtain an optimized weight matrix; performing pose estimation on the inspection robot based on the pose data from the inertial measurement unit, and calculating the pose data of the inspection robot; fusing the optimized weight matrix and the pose data of the inspection robot, and carrying out filtering updating on the fused point cloud matrix by adopting a filtering algorithm; and constructing a power operation point cloud map of the power operation environment based on the filtered and updated point cloud matrix. Accurate three-dimensional visualization support can be provided for electric power operation, and the operation efficiency and safety are improved.

The invention provides the method for constructing the secondary glioblastoma organ, so that the secondary glioblastoma organ is successfully constructed, and the defect that the secondary glioblastoma organ cannot be cultured by the current brain glioblastoma organ model is overcome; a research tool closer to the original state of glioma is provided for research on secondary glioblastoma of human brain, and a more reliable research tool is provided for tumor microenvironment research, tumor generation mechanism research, drug effect screening, development and application of disease models and the like of secondary glioblastoma.

The invention discloses a SiO2 / PAA-b-PFADE amphiphilic Janus nanosphere and a preparation method and application thereof.According to the method, based on RAFT reaction, an amphiphilic fluorine-containing block copolymer PAA-b-PFADE with excellent performance is prepared, a silicon dioxide monomer is used as a carrier, a silane coupling agent is used as a modifying agent, modified silicon dioxide nanospheres with the partially modified surfaces are obtained, and the SiO2 / PAA-b-PFADE amphiphilic Janus nanosphere is prepared. The preparation method comprises the following steps: by taking a modified silicon dioxide nanosphere as a carrier, modifying an amphiphilic fluorine-containing block copolymer PAA-b-PFADE, so as to prepare the SiO2 / PAA-b-PFADE amphiphilic Janus nanosphere. The Janus nanosphere has good amphiphilic performance, and the durability of a coating is effectively improved.

The invention belongs to the technical field of surface temperature inversion, and relates to a surface temperature split window remote sensing inversion method and system based on a virtual channel. The method comprises the steps of constructing a simulation data set, constructing a virtual channel, determining a split window coefficient and determining a target surface temperature. According to the method, through angle normalization of on-satellite brightness temperature, the influence of a surface temperature angle effect caused by different vegetation coverage projection areas under different observation zenith angles on ground mixed pixels is eliminated, so that observation data under different observation zenith angles have comparability; through a PSO-BP neural network model, time correction and spectrum conversion of on-satellite brightness temperature are realized, and virtual channel construction of an eleventh channel of the Landsat-8 TIRS is realized; according to the method, the appropriate split window coefficient of the subinterval is reselected through the surface temperature approximate value, the atmospheric water vapor content and the average surface emissivity, and the more accurate surface temperature can be estimated.

The application discloses a method and device for constructing hydraulic simulation data. The method comprises: determining a hydraulic role corresponding to each visible component in a BIM model; determining a first face dictionary, a connection element dictionary and a connection face list based on the determination result of the hydraulic role; processing bottom surface data and top surface data of the visible component whose corresponding hydraulic role is a connection element based on the connection element dictionary to determine a receiving area set and a centroid point set; determining a support DEM dictionary and a blocking DEM dictionary based on the first face dictionary, and determining a final support DEM dictionary based on the determined support DEM dictionary and the determined blocking DEM dictionary; and determining a connection DEM dictionary based on the first face dictionary and the connection face list. Thus, the conversion efficiency from the BIM model to the hydraulic simulation is improved.

The invention provides a sequential slow-release hydrogen sulfide nerve repair conduit and a preparation method thereof, and belongs to the technical field of biological materials. The sequential slow-release hydrogen sulfide nerve repair conduit comprises degradable temperature-sensitive polyethylene glycol monomethyl ether-poly (cysteine-glycolic acid) hydrogel and a pH response hydrogen sulfide donor, wherein the degradable polymer conduit is filled with the degradable temperature-sensitive polyethylene glycol monomethyl ether-poly (cysteine-glycolic acid) hydrogel, and the pH response hydrogen sulfide donor is loaded on the hydrogel. In the application, the pH response donor can respond to an acidic microenvironment of degradation of polyethylene glycol monomethyl ether-poly (cysteine-glycolic acid) hydrogel, release hydrogen sulfide and relieve the acidic environment generated by degradation of the hydrogel at the same time, and form a dual supply mechanism with cysteine (endogenous hydrogen sulfide precursor) obtained by degradation of the hydrogel; nerve regeneration and angiogenesis are synergistically promoted, and oxidative stress is regulated; and the hydrogel is accelerated to degrade during excessive oxidative stress, so that hydrogen sulfide is released as required, and the core problems of insufficient blood supply, unbalanced acidic microenvironment and slow nerve regeneration are synchronously solved.

The invention discloses a multi-stage ventilation corridor construction method considering path density and space connectivity. The method comprises the following steps: obtaining a potential ventilation corridor; calculating an included angle between the potential corridor and the prevailing wind direction; extracting a corridor center line with relatively high linear density; gradually screening according to the linear density from high value to low value to form a primary gallery; deducting potential galleries in the buffer area of the first-stage galleries to obtain potential second-stage galleries; calculating the included angle between the remaining potential secondary galleries and the prevailing wind direction, and removing the potential secondary galleries with the included angle larger than 45 degrees; removing a potential secondary corridor with a relatively short length; calculating the length of the potential secondary corridor passing through the green space and the water area; calculating the length of the potential secondary gallery passing through the surface temperature high-value area; and the potential galleries with relatively long lengths are selected as secondary galleries. By the adoption of the technical scheme, the actual construction cost of the ventilation corridor is reduced, corridor deficiency in a local area is supplemented, and peripheral air inflow and internal air exchange and circulation are effectively promoted.

The present invention discloses a rock structure surface recognition and three-dimensional network modeling method based on point cloud deep learning, which belongs to the technical field of rock structure surface recognition. The method comprises the following steps: S1, obtaining fine three-dimensional point cloud data of the rock structure of the rock slope; S2, extracting point cloud feature data from the fine three-dimensional point cloud data using an improved OCM-PointNet2 deep learning model, segmenting the rock structure surface based on the point cloud feature data, obtaining segmentation data, and enhancing the segmentation data; extracting geometric parameters of the rock structure surface based on the enhanced segmentation data; S3, calculating the probability function of the geometric parameters of the structure surface, predicting the spatial distribution of the structure surface based on the probability function, and constructing a three-dimensional network model; The present invention is helpful to promote the research on the stability of engineering slopes, and help solve the problems of safety prediction and control of rock slopes during construction and operation and maintenance.

The invention discloses a preparation method of a high-efficiency and high-throughput plant tissue mRNA-seq sequencing library. The preparation method comprises the following steps: grinding a plant sample and Trizol; 1-bromo-3-chloropropane is added into the reaction kettle; taking supernatant, and adding isopropanol to precipitate RNA; centrifuging, and discarding supernatant to obtain white precipitate; rinsing and precipitating; discarding redundant liquid, airing the precipitate to a semitransparent state, and dissolving the precipitate; enriching mRNA (messenger ribonucleic acid); carrying out cDNA one-chain synthesis; carrying out Tn5 enzyme digestion; purifying an enzyme digestion product; carrying out PCR library amplification; purifying and sorting PCR products; and collecting the library supernatant into a new PCR plate. Compared with the traditional mRNA-seq, the mRNA-seq library has the advantages that the synthesis of a cDNA second chain, the addition of terminal repair A and the additional connection of a sequencing joint are reduced, the operation process is greatly simplified, and the mRNA-seq library of 96 different tissue samples can be constructed within one day.

The application provides a metadata intelligent identification method and device based on semi-supervised learning, and the method comprises the following steps: generating a metadata keyword identifier according to a conditional random field, wherein the metadata keyword identifier is used for extracting metadata features corresponding to any identification; acquiring an initial labeled data set, training the metadata keyword identifier according to the initial labeled data set to generate a metadata classifier; acquiring an unlabeled data set, predicting the unlabeled data set according to the metadata classifier to generate a prediction result; generating an intermediate training data set according to the prediction result; cyclically self-training the metadata keyword identifier and the metadata classifier according to the intermediate training data set to obtain a cyclically self-trained metadata classifier; and identifying metadata intelligently according to the cyclically self-trained metadata classifier. Through the application, the problem of low metadata identification construction efficiency in the related art is solved.

The application discloses a kind of coronary angiography three-dimensional reconstruction method and system, it is related to medical image processing technical field, including: obtaining multi-angle coronary DSA angiography projection image and executing pre-processing, extract blood vessel initial center line and both sides initial contour, calculate each section contrast agent relative concentration, combined with blood vessel local curvature, concentration difference sign change and anatomical feature adaptive segmentation blood vessel section, filter reliable reference side and generate mirror virtual contour, calculate three kinds of contour deviation, construct multi-constraint objective function and correct center line section by section, integrate corrected center line and fit lumen parameter, solve blood vessel feature point three-dimensional coordinate and complete three-dimensional reconstruction.The application has the advantages that: effectively suppress the center line deviation caused by contrast agent concentration uneven, consider correction accuracy and blood vessel form continuity, the size of three-dimensional model output is accurate, topological correct, can be directly used for clinical quantitative diagnosis and interventional operation planning.

The invention provides a multi-modal medical knowledge graph construction method and device and computer equipment, and relates to the technical field of medical knowledge graph construction, and the method comprises the steps: obtaining multi-modal medical data; the multi-modal medical data comprises a multi-modal medical data subset of a plurality of medical keywords; preprocessing the multi-modal medical data to obtain multi-modal text data of each medical keyword; based on a preset medical knowledge extraction model, obtaining a structured medical data set of each medical keyword according to the multi-modal text data of each medical keyword; the medical knowledge extraction model is a model obtained by training based on a pre-training model; and constructing a multi-modal medical knowledge graph based on the structured medical data set. According to the method, the construction of the multi-modal medical knowledge graph can be realized in a non-labeled medical data scene.

The invention discloses a weighted parameterized distributed noise elimination method and system, and the method comprises the following steps: carrying out the framing and windowing of E-dimensional signals received by J nodes in a wireless microphone network, and carrying out the discrete Fourier transform of each frame of signal, thereby obtaining a discrete spectrum signal; performing data compression processing on the discrete spectrum signal; each node performs weighted summation on the compressed data from all neighbor nodes to obtain a summation signal; enumerating a summation signal to the lower part of the discrete spectrum signal to construct local signal data; performing voice activity detection on the discrete spectrum of each microphone signal based on voice signal characteristics in combination with a logarithmic spectrum distance; updating the constructed correlation matrix of the local signal based on the voice activity detection result; and inverse discrete Fourier transform is carried out on the enhanced voice signal to obtain a time domain output voice signal of the current frame, and overlapping and adding are carried out on the time domain output voice signal of each frame to obtain a final output signal.

The invention discloses an anti-fibrosis active ingredient high-throughput screening method based on a liver organ chip and application of the anti-fibrosis active ingredient high-throughput screening method. The invention provides a liver organ chip combined with a pore plate. The liver organ chip is used for high-throughput screening of anti-fibrosis active ingredients. The method specifically comprises the steps of building a high-throughput organ-like chip, forming a 3D fibrosis liver organ and screening the biological activity of an anti-fibrosis drug. According to the invention, the physiological state of the human liver is reproduced in an in-vitro culture environment by utilizing the principles of stem cell development and engineering, and the pharmacological action of the liver tissue on the medicines obeticholic acid and semeglutide under the pathological state of the human liver is remodeled; the method has great application value in the aspects of in-vitro organ simulation, high-throughput screening of drug efficacy and exploration of a response mechanism of an organism to a drug, and the construction mode of combining with a commercial pore plate is extremely simple, convenient, expansible and practical.

The invention relates to the technical field of preparation of lipid nanoparticles, and particularly discloses proteinized lipid nanoparticles as well as a preparation method and application thereof. Dipalmitoyl phosphatidylcholine, cholesterol, triton X-100, absolute ethyl alcohol, a sodium citrate buffer solution and cell membrane protein are recombined to form cell membrane protein lipidosome with negative charges on the surface; the preparation method comprises the following steps: recombining 4-(N, N-dimethylamino) butyric acid (dilinoleyl) methyl ester, absolute ethyl alcohol, plasmids, triton X-100 and a sodium citrate buffer solution to obtain lipid nanoparticles with positive charges; and wrapping cell membrane protein liposome on the surface of the lipid nanoparticle by utilizing mutual attraction of positive and negative charges to obtain the proteinized lipid nanoparticle. The proteinized lipid nanoparticles can realize gene targeted delivery of specific cells such as suspension cells and primary cells, reduce non-specific uptake, and can be used as a gene delivery carrier.

The invention provides a domain dictionary construction method and device.The method comprises the steps that at least one domain corpus is segmented to obtain a first character segment set, and the first character segment set comprises at least one first character segment; calculating a relevance index value between characters of the first character segment; determining a second character segment set according to the relevance index value, wherein the second character segment set comprises first character segments of which the relevance index value is greater than or equal to a preset threshold value; determining a third character segment set according to the second character segment set, wherein the third character segment set comprises the second character segment set and second character segments of the at least one field corpus; and constructing a domain dictionary according to the third character segment set. The domain dictionary construction method provided by the invention is not limited by use conditions, is relatively high in efficiency, can ensure the accuracy of the mined domain words, and reduces the omission of the domain words of the domain corpus.