114 results about "Property analysis" patented technology

The invention provides a spacecraft full-cycle monitoring and operation and maintenance decision-making system based on digital twinning, and belongs to the field of spacecraft full-life-cycle intelligent operation and maintenance. Structural data and environmental data are monitored in real time through a multi-source sensor network deployed on a spacecraft structure; fusing physical entity monitoring data and damage evolution rule virtual data in a twin database, constructing a structure damage resistance and mechanical property evaluation model, and executing geometric modeling, physical attribute analysis, behavior response simulation and damage evolution rule modeling; based on a simulation result of the virtual model, life prediction and reusability evaluation are carried out, and an operation and maintenance decision instruction is generated; and feeding back the operation and maintenance decision instruction to the physical entity to execute control, and updating state data in the twin database to perform iterative optimization. According to the method, full-scene coverage from design demonstration to scrap recovery is supported, the problem of stage splitting in the traditional technology is solved, and a closed-loop optimization mechanism is formed through real-time interaction between the physical entity and the virtual model.

The invention provides a mineral leaching property analysis method, which belongs to the field of process mineralogy, and comprises the following steps: crushing and enriching a sample to be detected, and selecting single mineral particles to obtain target mineral particles; the preparation method comprises the following steps: coating a sample preparation grinding tool with epoxy resin glue, adding target mineral particles, and carrying out curing and grinding treatment to obtain a primary sample; cutting the primary sample, placing the grinding surface downwards and the three wear-resistant alloys at the bottom of a sample preparation grinding tool, injecting epoxy resin glue, curing to form a composite sample, accurately grinding, polishing, performing carbon spraying treatment, performing first automatic mineralogical analysis, measuring the area of a target mineral, cleaning, and performing leaching treatment to obtain a treated sample; and after solidification, accurate grinding and polishing and carbon spraying treatment, secondary automatic mineralogical analysis is carried out, the area of the residual target mineral is measured, and the leaching index of the target mineral is calculated. Reliable technical support is provided for mineral processing technology optimization and resource evaluation, and the method is particularly suitable for development of efficient leaching technologies of precious metal, rare earth and the like.

The invention discloses a wind power generation equipment gearbox oil state detection method and system, and the method comprises the steps: obtaining an oil sample, carrying out the quantitative analysis of solid, liquid and gas pollutants through an oil pollution degree analysis model, and processing the parameters such as kinematic viscosity through an oil physicochemical property analysis model; and after the tensors of the two results are fused, feature decoupling and deep feature mining are performed, and finally, the oil state is judged by a state evaluation decision model. The system is correspondingly provided with six units such as a sample acquisition unit and a pollution analysis unit to realize the functions. According to the scheme, the defects that traditional detection is single and correlation analysis is lacked are overcome, a certain index is not independently detected any more, pollution and physicochemical property information is comprehensively integrated, the relation between the pollution and the physicochemical property information is deeply analyzed through tensor fusion, feature decoupling and other technical means, accurate evaluation of the oil state of the gearbox is achieved, and the detection accuracy is improved. And misjudgment caused by one-sided detection or no consideration of mutual relations is effectively avoided.

The invention provides a molecular modification method for glycosyltransferase based on artificial intelligence. The method comprises the following steps: acquiring description information of enzyme mutants to form a basic data set; performing physicochemical property analysis on the basic data set to obtain an analysis result set; calculating the quantized value of the conservative degree of the mutation site and the quantized value of the influence degree of different mutations on the sequence so as to construct a position specificity scoring matrix; extracting a position specificity scoring value and a frequency from the scoring matrix, determining a functional section, and performing weighting processing; performing three-dimensional structure prediction and energy calculation based on the three-dimensional structure reconstruction model of the mutant to obtain an energy value; calculating an energy change value between the mutant and the wild type; performing molecular docking and dynamic simulation analysis on the mutant protein to obtain quantitative description of an interaction mode and strength and dynamic simulation characteristic data; and constructing a model training set to train a machine learning model for predicting the change of the enzyme activity of the mutant.

The invention relates to the field of solid analysis, in particular to a diamond polishing and grinding online detection system which comprises the following steps: firstly, synchronously acquiring optical sensing data and thermal sensing data of the surface of a to-be-detected diamond; then, processing the acquired sensing data to detect and identify various physical characteristics of the surface, including a surface defect state, thermally induced anomaly distribution and self-calibrated surface roughness, and tracking an evolution trend of related characteristics, so as to generate a preliminary multi-dimensional characteristic analysis result; and finally, generating a comprehensive diamond defect surface physical property online evaluation report by integrating various analysis results. The method mainly solves the problems that the multi-dimensional physical characteristics of the surface of the diamond are difficult to evaluate in real time, accurately and comprehensively and the change of the surface state is difficult to respond quickly by a traditional detection means, and aims at comprehensively evaluating the surface quality of the diamond through automatic online analysis and providing a basis for guaranteeing the quality of a final product and optimizing a grinding process.

The invention discloses a ferromagnetic cavity physical and magnetic coupling modeling method, and relates to the technical field of electromagnetic property analysis, the method adopts a COMSOL Multiphysics finite element simulation technology, and combines hysteresis loop measurement of a ferromagnetic material, a Jiles-Atherton parameter recognition algorithm, a tensile test, residual magnetism measurement and a force and magnetic coupling test, so that the ferromagnetic cavity physical and magnetic coupling modeling method is realized. According to the method, the magnetization behaviors of the ferromagnetic cavity under the action of different stresses and magnetic fields are accurately simulated, the high-precision force-magnetic coupling simulation model is established by automatically identifying five Jiles-Atherton parameters of the ferromagnetic material and combining mechanics and residual magnetism data, space magnetic field distribution under the specified working condition is rapidly calculated, and the method has the advantages of being high in modeling efficiency and high in calculation precision.

The invention relates to the technical field of aluminum alloy material performance analysis, in particular to a performance analysis method of an aluminum alloy material. The method comprises the following steps that aluminum alloy material data are collected, and component data of an aluminum alloy material are obtained through component detection; performing initial property analysis on the aluminum alloy material to obtain physical and mechanical property data of the material; carrying out bearing capacity estimation on the aluminum alloy material through load simulation, and carrying out thermal cycle threshold calculation on the material in combination with thermal cycle simulation to obtain thermal cycle performance data of the aluminum alloy material; the comprehensive performance of the aluminum alloy material is analyzed based on the thermal cycle threshold value and the bearing capacity data, the performance of the aluminum alloy material under different working conditions is evaluated, the composition proportion of the aluminum alloy material is optimized according to the performance data of the material, and the optimal material performance is obtained. By optimizing the components of the aluminum alloy material, the performance of the aluminum alloy material is more stable.

Methods, non-transitory computer-readable media, and property analysis systems are disclosed that extract vegetation location information from overhead and LIDAR images associated with a geographic location. The images are aligned based on the extracted vegetation information. Models are applied to the aligned images based on vegetation height information extracted from the LIDAR images. A graph is then generated based on a result of the application of the models. The graph represents a relationship between vegetation, one or more buildings, and one or more fire pathways associated with the geographic location. A wildfire risk score generated based on the graph is then output for the buildings via a GUI. Thus, the disclosed technology applies wildfire spread models and graphs to vegetation and buildings identified in aligned overhead and LIDAR imagery to provide relatively accurate wildfire risk assessment to insurers and homeowners and thereby facilitate informed decision-making and preventative measures.

The invention discloses a method for predicting mechanical properties of ultra-high performance concrete, particularly relates to the technical field of dynamic property analysis of building materials, and aims to solve the problem that sudden brittle failure of materials cannot be accurately predicted under impact and explosion loads in the conventional method. The method comprises the following steps: calculating a macroscopic stress-strain response based on a continuum mechanical equation by acquiring a material ratio parameter and a dynamic load condition; constructing topological features through the strain energy entropy change rate to locate a damage area; determining an interface debonding energy threshold value and a crack growth rate of the damaged area in combination with interface fracture mechanics; utilizing the law of conservation of energy to establish dynamic correlation between interface debonding energy and strain energy density; when the crack growth rate exceeds an interface debonding energy threshold value, correcting macroscopic response data of a sudden stress drop interval based on the dynamic association relationship; the cross-scale coupling of a microscopic damage mechanism and a macroscopic mechanical behavior is realized, and the prediction precision under a dynamic load is remarkably improved.

The invention relates to a personalized credit scoring method in the financial credit field, and the algorithm comprises the following steps: S1, data collection and preprocessing, including internal data integration and external data integration; s2, feature extraction, including statistical property analysis, trend index extraction and diversified feature construction; s3, model construction and training, including basic model selection, cross validation, feature selection and weight adjustment and multi-model integration; s4, performing personalized fine tuning, including engraving and class customization, feedback learning mechanism and risk dynamic mapping; and S5, model evaluation and optimization, including accuracy test, risk stability detection, interpretability analysis and compliance auditing. According to the invention, the credit evaluation precision is improved, and the wrong loan rejection rate and the excessive credit extension rate of loan approval are reduced to the minimum through the personalized credit evaluation model.

The invention belongs to the technical field of soil, and particularly relates to a method for quantitatively determining fluoride output loads in different land types of a lake basin. Comprising the following steps: S1, determining a fluoride source area of a lake basin, and determining the range of different land utilization types in the area; s2, collecting fluorides in the soil in the range of different land utilization types in the S1; s3, measuring A, A0 and Ah in different land utilization types by using an isotopic tracer technology based on the fluorides in the soil collected in the S2; and S4, on the basis of a result calculated in the S3, calculating fluoride-carried output loads in different land utilization types. According to the method, soil physicochemical property analysis is combined with an isotopic tracing technology, the sources and loads of different land utilization types of the particulate fluoride in the lake basin can be quantitatively analyzed, and the key areas of the sources of the particulate fluoride can be quantitatively identified according to the load source quantities of the particulate fluoride of different land utilization types; and then the key area is controlled.

The invention discloses an anti-seismic property analysis method for a wind and rain bridge body structure. By constructing a finite element model of the wind and rain bridge, the mechanical response of the wind and rain bridge under the action of static load and seismic waves is simulated. The method specifically comprises the following steps: constructing a finite element model comprising a pier, a bridge floor, a wooden support and a rubber shock insulation layer; carrying out static analysis to obtain bearing capacity, deflection and stress distribution; carrying out dynamic analysis, including modal analysis and seismic response analysis, to determine a key response spectrum; and the arrangement scheme of the rubber shock insulation layer is optimized to improve the anti-seismic performance. According to the method, through refined finite element analysis and in combination with the rubber shock insulation technology, the anti-seismic performance of the wind and rain bridge is remarkably improved, and the historical and cultural values of the wind and rain bridge are kept to the maximum extent. The method provides a scientific basis and technical support for improving the anti-seismic property of a traditional wood structure building, and has important engineering application value and culture protection significance.

The invention discloses a pollutant property analysis method and system based on machine learning, and belongs to the technical field of pollutant analysis. The method comprises the following steps: S1, collecting historical pollutant data of a monitoring point; preprocessing the historical pollutant data to obtain pollutant historical processing data; the historical pollutant data comprises historical pollutant monitoring data, geographic data and meteorological data; s2, performing feature extraction on the historical pollutant processing data to obtain key features; s3, constructing a machine model, and performing property analysis training on the key features by adopting the machine model to obtain a first analysis result; the machine model is optimized based on the first analysis result, and the optimized machine model is obtained; and S4, collecting real-time pollutant data of a monitoring point, and analyzing the real-time pollutant data by adopting the optimized machine model to obtain a second analysis result.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for valuing and or authenticating property. An example system includes a sensor system and a computer system. The sensor system includes one or quantum sensors, and is configured to generate first sensor data representing one or more molecular properties of a first object at a first time. The computer system is configured, at least, to: receive the first sensor data from the sensor system; obtain model data representing one or more molecular properties of a model object; generate, based on the first sensor data and the model data, a comparison between the one or more molecular properties of the first object at the first time and the one or more molecular properties of the model object; and determine an authenticity of the first object based on the comparison.

The invention discloses a real-time house type image outer contour detection and segmentation method, system and equipment, and the method comprises the steps: employing a two-stage processing flow, firstly carrying out the rapid detection of an input image, namely a house type image region, through employing an improved DETR target detection model, and positioning the rectangular position of a house; using the rectangular position as a prompt input of a subsequent segmentation model so as to provide an accurate target area for a subsequent segmentation step; and carrying out high-fineness segmentation processing on the extracted outer contour region by using an improved SAM segmentation model. According to the method, the rapid target detection capability of the DETR model and the high-quality segmentation performance of the SAM model are combined, the method is suitable for a large-scale building house type drawing outer contour segmentation task, can be widely applied to the fields of intelligent house property analysis, building design assistance, house type drawing automatic archiving and the like, shows higher robustness and precision in the task, and can be widely applied to large-scale building house type drawing outer contour segmentation. And the automation level of building design and analysis can be obviously improved.

The invention discloses a carotid artery ultrasound image processing method and system capable of automatically analyzing plaque properties, and the method comprises the steps: an image preprocessing step: carrying out the preprocessing of an obtained carotid artery ultrasound image, and carrying out the automatic image cutting and data enhancement processing; a plaque identification and positioning step: deep learning analysis is performed on the preprocessed ultrasonic image, plaques in the ultrasonic image are identified, a plaque area is positioned, and the deep learning analysis comprises neural network-based image identification and target detection; a plaque segmentation and property analysis step: performing multi-model segmentation on the positioned plaque region in the ultrasonic image to obtain a plurality of segmentation results; and carrying out property analysis on the plaque according to the plurality of segmentation results. According to the method, the full-process automation of the qualitative positioning analysis of the carotid plaque is realized, and the accuracy of plaque identification, detection and segmentation is improved.

The invention discloses an implementation method for an RISC-V physical memory protection mechanism, and the method comprises the following steps: analyzing a physical memory protection mechanism module structure and the input and output of a module according to an RISC-V ISA standard, designing a module framework according to document requirements, and implementing the module by using a SystemVerilog language; performing property analysis on the PMP module according to the ISA specification, classifying the properties obtained by analysis, and describing the properties by using a formalized language; and based on the realized physical memory protection module, combining with the extracted properties, performing formalized verification on the properties by using an assertion-based formalized verification tool Symbiyosys, and integrating verification results to ensure the correctness of the RISC-V physical memory protection mechanism.

Methods, non-transitory computer readable media, and property analysis server devices are disclosed that generate a feature dataset including property and metric data for properties includes an address and an actual lease value. A machine learning model (MLM) trained on the feature dataset is selected from different types of MLMs. A determination is made that the selected MLM exceeds an accuracy threshold based on a cross-validation using predicted lease values. The property data is stored in a lease benchmarking database with the addresses replaced in with corresponding geographic coordinates and geohash values. The properties are associated in the lease benchmarking database with the predicted lease values. One of the predicted lease values is returned in response to a received lease pricing request that includes an address. The returned predicted lease value is identified in the lease benchmarking database based on a geographic proximity of the address to one of the properties.

An advanced virtual real estate assistant (VRA) system is disclosed, integrating a fine-tuned Large Language Model (LLM) and a Retrieval-Augmented Generation (RAG) module to support homebuyers. The VRA combines structured real estate data (MLS listings, sales records), unstructured property descriptions, legal documents, and buyer preference modeling to provide enhanced property analysis and guidance. The system accesses real-time market data, geospatial information, public records, and community insights to generate personalized recommendations, identify market trends, and suggest negotiation strategies. Key features include hyper-personalized property analysis, intelligent negotiation support, advanced document understanding with risk identification, and proactive, context-sensitive communication. This invention empowers buyers with clear explanations of complex real estate terminology, data-driven negotiation tactics, and timely reminders about contractual contingencies, while emphasizing the importance of seeking professional legal advice at critical transaction stages. The VRA system enhances transparency and efficiency in the home buying process, making it particularly beneficial for first-time buyers.

The invention discloses an image-based substrate electrical property measurement system and a method thereof. The image-based substrate electrical property measurement system comprises a measurement device and an electrical property analysis device. The measuring device captures and processes a surface image of the substrate to generate line size information of the substrate. The electrical analysis device analyzes the line size information to generate electrical measurement information, and correspondingly establishes substrate electrical distribution information according to the substrate surface image. According to the invention, electrical information such as impedance, resistance and the like of a whole line can be measured, electrical distribution information of the substrate can be generated according to the surface image of the substrate, the electrical distribution state of the substrate is obtained from the image in a visual mode, and the electrical distribution trend of the substrate is analyzed according to the electrical distribution state.

The application discloses a raw oil property prediction and analysis method, device, equipment and a storage medium, and comprises the following steps: generating a raw oil standard comparison model in the form of a vector matrix according to a property data sample set comprising property data of a large number of crude oil samples; each sample vector group in the vector matrix comprises vector elements including distillation point, equivalent double bond value and property data; when performing property analysis and prediction on the crude oil to be analyzed, a vector group comprising vector elements of distillation point and equivalent double bond value is generated according to the crude distillation point temperature data in the simple evaluation report and the carbon, hydrogen and nitrogen element content and the mixture molecular mass data under the corresponding distillation point; then, the corresponding similar sample is determined through the raw oil standard comparison model by means of Euclidean distance calculation, and the property data of the crude oil to be analyzed is predicted; and the application can greatly improve the detection and analysis efficiency, thereby improving the timeliness of oil product detection.

The application discloses a traditional Chinese medicine property analysis system and method, and a computer readable storage medium. The system comprises an information acquisition unit, a first analysis unit, a quantification unit and a second analysis unit. The method comprises grouping patients with consistent conditions and grouping traditional Chinese medicines according to different influencing factors; analyzing the influence of different influencing factors of traditional Chinese medicines on treatment effects; analyzing the quantitative relationship between the dosages of traditional Chinese medicines with different influencing factors and the dosages of traditional Chinese medicines required to achieve the same treatment effects; and analyzing the influence of influencing factors of traditional Chinese medicines on the properties of traditional Chinese medicines. The application analyzes the influence of different influencing factors of traditional Chinese medicines on treatment effects, further obtains the influence of influencing factors of traditional Chinese medicines on the properties of traditional Chinese medicines, and thus obtains the dosages of traditional Chinese medicines suitable for the current situation according to the quantitative relationship between the dosages of traditional Chinese medicines with different influencing factors and the dosages of traditional Chinese medicines required to achieve the same treatment effects, which is favorable to increasing the accuracy of the dosages of traditional Chinese medicines, strengthening the comprehensive understanding of the properties of traditional Chinese medicines, enhancing the modernization degree of traditional Chinese medicine, improving the persuasiveness and reliability of traditional Chinese medicine, and being favorable to the international development of traditional Chinese medicine.

The application discloses a property analysis method based on composite fertilizer infrared spectrum data, and belongs to the technical field of data processing. The method first acquires and pre-processes near-infrared spectrum data of a composite fertilizer sample; secondly, a complex teacher network comprising a graph neural network, a covariance matrix guided self-attention mechanism and a Transformer encoder is constructed; then, a lightweight network is constructed by adopting a residual dense connection mode based on a 1D-CNN; finally, knowledge of the teacher network is transferred to a student network through temperature scaling soft target supervision and a multi-level intermediate layer feature alignment mechanism, and the student network is used to realize efficient and accurate analysis of the properties of the composite fertilizer. The application effectively alleviates the overfitting problem caused by the scarcity of labeled samples, significantly improves the prediction accuracy and model generalization ability, and at the same time ensures the lightweight of the student network, facilitating the deployment and application in actual production scenes.

The invention discloses a method for preparing a solid nanopore through automatic controllable breakdown, and relates to the technical field of nanopore processing, and the method comprises the steps of S1, preprocessing and chip assembly, S2, parameter initialization, S3, dynamic voltage gradient control, S4, multi-parameter real-time monitoring, S5, pore diameter prediction and feedback termination, and S6, post-processing and verification. A breakdown basis is established through surface functionalization processing and intelligent parameter initialization, a dynamic voltage gradient algorithm is adopted to adaptively adjust the electric field intensity according to the real-time current change rate, and noise features are synchronously monitored to recognize the breakdown stage; the method comprises the following steps: dynamically predicting pore diameter growth by combining a charge accumulation effect and a thermodynamic model, accurately controlling pore diameter formation through a multi-level termination condition, and finally verifying nanopore parameters by utilizing electrical property analysis and in-situ calibration, and the process is integrated with a dynamic algorithm and a multi-physics field feedback mechanism. And the aperture control precision and the process stability are improved while the machining efficiency is guaranteed.

This invention discloses a universal detection method applicable to coal with multiple particle sizes. It includes: first, acquiring a coal sample set under a target scenario, along with the corresponding near-infrared diffuse reflectance spectra and analytical properties of each coal sample, where all coal samples in the set have the same particle size; second, determining the property analysis model and reference wavelength based on the near-infrared diffuse reflectance spectra and analytical properties of each coal sample in the set; finally, acquiring the near-infrared diffuse reflectance spectrum of an unknown coal sample, preprocessing the spectrum using the reference wavelength to obtain the corresponding standardized spectrum, and inputting it into the property analysis model, which then outputs the analytical properties of the unknown coal sample. The method proposed in this invention is applicable to coal particle sizes ranging from ultrafine powder, medium particles, and coarse particles to in-situ rough surfaces and in-situ smooth surfaces, significantly eliminating spectral scattering effects caused by the physical state of the sample and improving the accuracy of quantitative coal quality analysis.

The application relates to the technical field of biology, and discloses a method and device for analyzing the properties of a nucleic acid nanostructure, which comprises obtaining single-molecule positioning imaging data of the nucleic acid nanostructure, pre-processing the data to obtain spatial information and time information of the nucleic acid nanostructure, determining a profile curve of the nucleic acid nanostructure according to the spatial information, dividing the profile curve into a plurality of chain segments, calculating the length L of the chain segments through the spatial coordinates of the end points at both ends of the chain segments, calculating the angle correlation cos theta (L) through the unit vectors of the two end points with a distance of L, calculating the persistence length P of the nucleic acid nanostructure through the relationship between the chain segment length L and the average value <cos theta (L)> of the angle correlation when the chain segment length is L, determining quantitative analysis of structural rigidity, determining quantitative analysis of site accessibility, and performing correlation analysis of the structural rigidity and the site accessibility. The application provides accurate quantitative evaluation of the structural rigidity and / or site accessibility of the nucleic acid nanostructure.

This utility model relates to the field of drug analysis technology, specifically a rotary centrifuge-based drug property analysis and testing device. It includes a centrifuge body with a rotating shaft inside. A top cover is rotatably connected to the top of the centrifuge body. An installation component is provided on the outer wall of the rotating shaft, and a placement component is provided on the side wall of the installation component. The advantages are: by using the installation component and the placement component in conjunction, the sample can be directly placed into the microplate and vertically inserted into the limiting groove to complete the installation. Rotating to open the fixed cover allows the rotating squeezing block to press the slider, thus disassembling the microplate. This reduces the number of operation steps, supports various sizes of microplates, and solves the problems of inconvenient microplate replacement and cumbersome operation in traditional centrifuges. It not only improves operational convenience and experimental efficiency but also enhances safety, compatibility, and scalability.

The present invention relates to the field of data processing technology, and in particular to a method for analyzing the local spectral properties of a Hamiltonian operator. The method comprises: obtaining the real-time temperature, power consumption, and coolant flow of a grid; determining a high temperature difference grid; determining a temporary grid; determining an analysis grid; inputting data into a Hamiltonian operator model; adjusting a temperature gradient threshold, and generating an abnormal property analysis report. The present invention collects temperature, power consumption, and coolant flow data from a quantum computer cooling unit in real time, and combines this with local spectral energy eigenvalue analysis to accurately identify and adjust temperature control anomalies. This not only improves the stability and efficiency of the cooling unit, but also dynamically optimizes the temperature gradient threshold. Through the generated abnormal property analysis report, potential problems can be discovered and maintained in a timely manner, effectively extending the life of the equipment and optimizing the utilization of cooling resources. This effectively solves the problem of low output accuracy due to over-reliance on historical data.

The invention relates to the technical field of oil quality analysis, in particular to an aviation oil property analysis method and system based on spectral oblique projection. According to the method, when the oblique projection operator is constructed, the limitation of a traditional oblique projection operator is broken through through dynamic multi-component cooperation and self-adaptive residual error separation, key information which is in complex association with properties in the aviation oil spectrum is extracted more accurately, the pertinence and robustness of feature extraction are improved, and the accuracy of feature extraction is improved. Higher-quality input variables are provided for an aviation oil property prediction model, and the method is a core technical support for realizing high-precision aviation oil property analysis.

The invention provides an event property analysis method and related equipment. The method comprises the following steps: constructing an event property dictionary and an event property description vector library; acquiring an event description text of the real-time event; judging whether the real-time event is a valid event or not according to the event description text of the real-time event; if the real-time event is a valid event, executing the following steps: determining a first type of candidate event properties of the real-time event according to an event description text and an event property dictionary of the real-time event; according to the event description text and the event property description vector library of the real-time event, determining a second type of candidate event properties of the real-time event; and determining the event property of the real-time event according to the first type of candidate event property and the second type of candidate event property. The method can improve the accuracy and efficiency of event property judgment, can adapt to various scenes, and is high in practicability.