70 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 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 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 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.

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 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.

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 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.

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.

The invention relates to the technical field of data processing, and discloses a real-time topology locking performance evaluation method for a distribution network FA function, and the method comprises the steps: carrying out the topological relation reconstruction of the real-time topology data of a distribution network, and obtaining a network topological graph; based on a preset locking condition, carrying out locking analysis on the network topological graph to obtain regional locking distribution; carrying out situation aggregation on the region locking distribution to obtain a region needing to be locked; carrying out bimodal feature acquisition on the topological change event in the region needing to be locked to obtain average locking response time and topological change frequency; performing performance index construction on the average locking response time and the topology change frequency to obtain a real-time topology performance quantized value; and mapping the real-time topology performance quantized value to a preset performance threshold value to obtain a multi-level performance level, and generating a real-time topology locking performance evaluation result according to the multi-level performance level. According to the invention, the efficiency of evaluating the real-time topology locking performance of the distribution network FA function can be improved.

The application discloses a kind of based on cuboid grid's super singular volume integral solving method, including steps: the volume-area integral equation (VSIE) of metal-nonmagnetic medium mixed structure is established;Deduce the super singular volume integral to be handled;Super singular integral calculation is solved.This application first gives a kind of based on cuboid grid's super singular volume integral solving method, this method greatly improves the calculation precision of VSIE using MoM-Nystrom hybrid method solving.In the field of electromagnetic field simulation and analysis, the application provides an efficient and accurate numerical method for solving the volume integral equation in VSIE.Compared with existing algorithms, using MoM-Nystrom hybrid method to solve VSIE based on the solving method proposed in the application has made significant improvement in calculation efficiency, accuracy and other aspects, and provides a reliable theoretical tool and practical solution for electromagnetic property analysis of complex three-dimensional chip structure.

The present application relates to the technical field of oilfield exploration and development. Provided are an in-situ visual detection method and apparatus for shale oil content and properties, and a device. The method comprises: acquiring relevant experimental data of rock polished-section samples under specific experimental conditions, wherein the specific experimental conditions comprise specific experimental environment conditions and specific experimental device parameter conditions; and on the basis of the relevant experimental data, determining target data, wherein the target data is used for determining crude oil properties of shale oil in shale, and comprises data of crude oil in non-nanoscale oil-bearing pores and / or data of crude oil in nanoscale oil-bearing pores. The method in the present application realizes refined evaluation of light hydrocarbon recovery of shale oil and property analysis of crude oil in nanopores, which is of great significance for the calculation of resources and recoverable reserves of shale oil and the effective development of shale oil.

The application relates to a passive property analysis method, device, equipment and medium in an S parameter modeling process. The method comprises the following steps: acquiring pole points and residue matrixes of S parameter vector fitting, each pole point corresponding to a residue matrix; constructing a new S parameter rational fraction based on the pole points and the residue matrixes; constructing a judgment matrix based on the pole points and the residue matrixes; constructing a plurality of detection frequency points according to the judgment matrix; and determining a passive abnormal frequency point based on the new S parameter rational fraction and the plurality of detection frequency points. When the passive property analysis is performed in the S parameter modeling process, the pole points and the residue matrixes of the S parameter vector fitting are considered to determine the passive abnormal frequency point, the frequency at which the passive property of the S parameter will be abnormal can be quickly determined, the violation degree of the frequency point in which the passive property is seriously violated is given, the high-cost calculation process of an original Hamiltonian is avoided, the calculation efficiency is improved, and the pressure of subsequent passive property correction is reduced.

This invention relates to the field of energy management, specifically disclosing a smart energy management system based on Internet of Things (IoT) technology. The system includes: a transient event detection module, which identifies transient events and records their start and end times by estimating the probability density function of the power sequence within a sliding window and calculating the log-likelihood ratio; a start / stop load identification module, which extracts steady-state transient feature vectors and compares them with a feature library to identify load categories and start / stop states; a adjustable attribute analysis module, which determines whether a load is interruptible, transferable, or rigid by combining operational characteristics and physical property data; and an adjustable potential prediction module, which calculates the operational probability of interruptible and transferable loads in future time periods and dynamically generates a pool of actually usable adjustable potential resources. This invention achieves precise identification of user-side loads and scientific classification of adjustable attributes, dynamically quantifies adjustable potential, and improves the accuracy and adaptability of the energy management system in demand response and load control.

The invention discloses a data processing method and device, computer equipment, a computer product and a storage medium. The method comprises the following steps: receiving M financial feature data of M data parties; wherein the financial feature data is obtained by desensitizing feature data related to financial activities of the target object; then, based on the M pieces of financial feature data, determining a financial black production analysis result; the financial black property analysis result corresponds to a financial black property analysis task participated by the M data parties, the financial black property analysis result is used for representing whether the financial activity of the target object has the risk of financial black property or not, and the financial black property analysis result is based on the financial black property feature data. Processing the financial black production analysis task through a multi-party security computing method; according to the embodiment of the invention, the financial black production analysis result is determined through multi-party security calculation, so that the financial black production analysis is more accurate while the security of the data in the data processing process is ensured.

The application discloses a resistance material analysis method, device, equipment and product, relates to the technical field of data processing, and comprises the following steps: constructing an attribute feature matrix by using multi-source magnetic property data of a target resistance material; constructing an eigenvalue matrix based on eigenvalues between related attribute features in the attribute feature matrix; and performing clustering analysis on each eigenvalue in the eigenvalue matrix to obtain a magnetic property analysis result of the target resistance material. The application solves the technical problem of long analysis time and low accuracy of the magnetic resistance material, and achieves the technical effect of improving the magnetic property analysis efficiency and accuracy of the resistance material.

The invention relates to the technical field of geotechnical engineering, and discloses a rock fracture characteristic analysis method based on a CT image and a cohesive force unit method.The rock fracture characteristic analysis method comprises the following steps that S1, a rock test piece is prepared and subjected to CT scanning and a mechanical test, and an internal image and macroscopic mechanical parameters of the rock test piece are obtained; s2, preprocessing the CT image and establishing a three-dimensional digital model; s3, calculating the porosity of the rock test piece; establishing a quantitative relationship with Young modulus through an index model, and realizing spatial non-uniform assignment of material attributes by utilizing a finite element field variable function; s4, inserting zero-thickness cohesion units among the entity units; s5, endowing a traction-separation constitutive relation to the cohesion unit, and setting a damage starting criterion and a damage evolution rule; and S6, setting a boundary condition consistent with a physical test to perform compression numerical simulation, and comparing a simulation result with test data to verify the accuracy of the model. According to the invention, multi-scale analysis of the rock fracture characteristics can be realized, the analysis efficiency is high, and the analysis result is accurate.

This invention relates to a method, system, equipment, and medium for dynamic estimation of wastewater COD components based on sludge properties. It includes: correlating and fusing organic pollution index data with process operation data to generate a contextual feature vector; pairing and fusing a COD component baseline ratio vector with the contextual feature vector to generate a preliminary COD component time series; obtaining the ratio of biodegradable COD to total COD in the sludge sample based on sludge property analysis data; using this ratio as a sludge property constraint parameter, combined with the analytical relationship constraints of the wastewater under test during the wastewater treatment process, to perform constraint optimization and error redistribution processing on the preliminary COD component time series, thereby obtaining the dynamic estimation result of the COD components of the wastewater under test. This invention achieves high-frequency, dynamic, and physically reasonable estimation of wastewater COD components, avoiding the unidirectional accumulation of errors towards inert components and improving the accuracy of the estimation results.

The embodiment of the present disclosure discloses a kind of raw coal property online monitoring method and device, wherein the method comprises obtaining the real-time process data of raw coal to be monitored in the gasification process of gasification furnace and after gasification;After pre-processing real-time process data, the pre-processed data is input into the model pre-established for raw coal property analysis;The model is solved, and the elemental analysis result of the raw coal to be monitored is obtained.By real-time analysis of the property of raw coal, the effect of real-time monitoring the property of raw coal can be realized.The defects of high cost and lack of real-time in raw coal property analysis in related technologies are solved.

The present application belongs to the technical field of oil and gas exploration and development, and relates to a kind of approximate equivalent compensation coil structure, resistivity measurement method and formation property analysis method.The coil structure includes at least one compensation transmitting coil system and at least one receiving coil.The compensation transmitting coil system includes a main transmitting coil and at least two secondary transmitting coils.The secondary transmitting coils are arranged on both sides of the main transmitting coil, and the number of secondary coils on both sides of the main transmitting coil is the same.The secondary transmitting coils are compensation transmitting coils.The winding direction of the main transmitting coil is opposite to that of the secondary transmitting coil adjacent to it.The winding direction of the two adjacent secondary transmitting coils is the same or opposite.The winding direction of the receiving coil is the same as or opposite to that of the main transmitting coil.The method uses the approximate equivalent compensation coil structure.The present application can suppress the background signal of strong casing, improve the signal-to-noise ratio of formation signal, improve the response accuracy of transient electromagnetic wave through casing logging, and realize the extraction of formation resistivity under the influence of high-conductivity casing.

The invention provides a humanoid robot self-adaptive grabbing system and method for mixed-flow assembly of industrial parts, and belongs to the technical field of artificial intelligence and precise instrument and part assembly logistics. The system comprises a material attribute analysis module, a visual feedback adjustment module, an image acquisition module and a self-adaptive grabbing module, wherein the material attribute analysis module and the visual feedback adjustment module run on a built-in computer of the robot, the image acquisition module is fixed to the head of the robot, the self-adaptive grabbing module is located on the hand of the robot, and the image acquisition module and the self-adaptive grabbing module are both connected with the built-in computer of the robot. Optical images of target parts on an assembly line are obtained, material attribute classification and vulnerability evaluation are carried out on various heterogeneous target parts, and robot hand control parameters matched with the materials are dynamically generated. The problem that when a traditional manipulator faces fragile flexible and rigid mixed industrial parts on an assembly line, the parts are cracked, scratched or deformed due to single control parameters is solved, and low-cost and high-precision flexible self-adaptive grabbing is achieved.

The invention discloses a gang analysis method for analyzing specific crowds based on peer data, and the method comprises the steps: S1, a user sets a to-be-analyzed person list and at least three types of analysis rules, and the analysis rules comprise a suspected gang member peer rule, a suspected gang merging rule and a gang property analysis rule; s2, preparing a peer data set, and filtering based on the to-be-analyzed personnel list to obtain a suspicious member peer data set; s3, analyzing the suspected member peer data set by applying the suspected gang member peer rule, extracting a suspected gang data set, and then merging the suspected gang data set into a new suspected gang data set by applying the suspected gang merging rule; and S4, based on the new suspected gang data set and the suspected member peer data set, extracting a gang occurrence place data set, and outputting a gang suspected property data set by applying the gang property analysis rule. According to the method, rule chain type driving is adopted, automatic analysis is achieved, and the method is suitable for target person behavior monitoring scenes.