116 results about "Profile analysis" patented technology

The invention relates to the technical field of surface measurement, in particular to a road surface flatness rapid detection method based on a laser radar, which comprises the following steps: collecting vehicle attitude data to form a three-dimensional vector, mapping laser data to a space coordinate system, identifying a projection difference adjustment track, detecting a disturbance generation distribution area, and transversely distributing a translation direction line. Uniformly projecting to construct a reference line, extracting an echo and time index recombination time sequence segment, analyzing a point number trend to screen a stable segment, and extracting symmetric points to compare an included angle to generate a closed zone. According to the method, the attitude vectors of the vehicle in rolling, pitching and yawing states are obtained, the laser echo distance measurement data are mapped to the absolute space coordinate system, and the included angle difference between the distance measurement direction and the ground direction is accurately calculated, so that the space matching precision of a measurement path is remarkably improved, and a longitudinal section analysis result is closer to a real road state; and the space integrity, the track smoothness and the section structure rationality of the whole measurement process are comprehensively optimized.

The invention relates to the technical field of data processing, and discloses a seawall feature information extraction method and system based on multi-source remote sensing data. The method comprises the following steps: carrying out wave band combination enhancement, geometric correction and radiation correction on a multi-source remote sensing image to obtain standardized data; extracting a seawall target by using multi-scale segmentation; recognizing structural features through profile analysis and spectrum matching; calculating vegetation indexes and texture features to obtain ecological information; establishing a precision evaluation system; and finally constructing a feature information database. Through the technical means of multi-source data fusion processing, multi-scale feature extraction, ecological feature evaluation and the like, the precision and efficiency of seawall feature information extraction are improved, and the problems existing in the aspects of data acquisition, processing and evaluation in a traditional method are solved.

The invention discloses a code reconstruction method, system and device based on function recognition and a medium, and the method specifically comprises the steps: scanning a project file topological structure, and constructing a knowledge graph based on a code import relation and a technology stack feature; performing context enhancement by analyzing the code function description and combining with the knowledge graph to generate a code modification instruction set; based on the code modification instruction set, in combination with data stream sensitivity marking and performance portrait analysis, evaluating the target code to obtain an evaluation result; based on an evaluation result, matching a historical optimal practice mode through a graph neural network, and generating an optimization scheme which retains an original design style; by comparing abstract syntax tree differences between original codes and verified optimization schemes, only functional logic nodes are replaced, and legal code style features are reserved. According to the method, the efficiency and quality of code reconstruction and optimization are improved, and a more convenient, efficient and intelligent code processing tool is provided for software developers.

The invention relates to the technical field of agricultural management, in particular to an intelligent agricultural management system and method based on the Internet of Things. The method comprises the following steps: acquiring farmland geographic data and a farmland environment image; extracting scene feature points of the farmland environment image, and performing farmland three-dimensional modeling in combination with farmland geographic data to generate a digital twin farmland; acquiring to-be-sown seed data; analyzing development characteristics of the to-be-sown seed data to obtain to-be-sown seed development characteristic data; the development characteristic data of the seeds to be sown are imported into the digital twin farmland for sowing simulation and growth simulation, and sowing simulation data and growth simulation data are generated; and performing seeding profile analysis on the seeding simulation data to obtain a seeding profile map. According to the invention, the precision and efficiency of agricultural seeding management are improved by combining digital twinning, the Internet of Things and an intelligent simulation technology.

The invention provides a bedding structure rock finite element model reconstruction method based on a rock core digital image, and belongs to the technical field of digital rock cores, and the method comprises the following steps: S1, obtaining a gray level image of a rock sample; s2, calculating a transverse mean value of the analysis area to obtain a longitudinal gray level distribution curve; s3, applying moving average filtering and smooth filtering to obtain a smooth gray curve; s4, first-order difference is carried out on the smooth gray level curve, the position with the absolute difference value larger than a threshold value is taken as an initial stripe boundary candidate, and starting and stopping pixels, the width and the average gray level of each stripe are determined; s5, mapping each clustering label interval into a physical interval based on FEM grid partition; and S6, constructing a sample finite element model, and generating a reconstructed finite element model with real partition information. According to the method, the macrostructure features of the rock can be efficiently recognized and extracted by directly utilizing the pictures and combining gray profile analysis, and efficient and low-cost reconstruction of the finite element model of the bedding structure rock is achieved.

The invention provides a method for evaluating submarine natural hydrogen distribution and reserves, and relates to the field of submarine hydrogen energy exploration. A solution for evaluation through a numerical simulation means is provided in combination with a seabed natural hydrogen favorable zone, and before seabed observation, a potential distribution area is researched based on abnormal characteristics in combination with numerical simulation to determine a favorable target, so that the research purposes of effectively reducing exploration cost and improving detection accuracy are achieved. For the determined serpentine region, simulating material migration, deformation and heat transfer processes by constructing a continental and ocean region lithosphere model so as to obtain a mantle peridotite serpentine process and a corresponding relation between mantle peridotite serpentine and hydrogen production; through carrying out typical profile analysis on a plurality of construction units, the relationship between the crustal thickness and the serpentine quality in different environments is constructed, and finally, the distribution and the resource quantity of seabed hydrogen in a determined area are predicted.

The invention discloses an oil leakage detection and traceability method and system for an oil-immersed power transformer, and belongs to the technical field of transformer detection. Irradiating the surface of the transformer by adopting an ultraviolet light source with controllable power to obtain an oil leakage characteristic image of the surface of the transformer; carrying out oil leakage feature image preprocessing through graying, 3 * 3 convolution kernel Gaussian filtering, 3 * 3 weighted median filtering and a contrast-limited adaptive histogram equalization algorithm in sequence; an improved double-threshold maximum between-class variance algorithm is adopted to determine a background and a fluorescence region, and oil stains are accurately extracted through connected region analysis and texture feature screening; a diffusion main direction is determined through a gradient vector weighted voting algorithm, candidate sources are screened from an easy leakage part database in combination with a K nearest neighbor algorithm, and a final leakage source is determined through gray profile analysis and verification. Through multi-algorithm cooperation, the oil leakage detection precision and traceability accuracy are effectively improved, the method is suitable for daily operation and maintenance of the transformer, and the equipment fault risk is reduced.

The invention relates to an equivalent activation energy obtaining method and device, computer equipment, a readable storage medium and a program product. The method comprises the following steps: carrying out stress profile analysis on the electronic device to obtain a target environment parameter corresponding to the electronic device, constructing a target storage environment according to the target environment parameter, carrying out long-term storage failure analysis on the electronic device in the target storage environment to obtain sensitive stress corresponding to the target storage environment, and carrying out storage failure analysis on the electronic device in the target storage environment to obtain the sensitive stress corresponding to the target storage environment. Carrying out an accelerated storage test on the electronic device based on the sensitive stress, obtaining a single activation energy parameter corresponding to the electronic device, obtaining a failure acceleration coefficient and a stress weight corresponding to the target storage environment, and obtaining the failure acceleration coefficient and the stress weight corresponding to all the target storage environments according to the single activation energy parameter and the failure acceleration coefficients and the stress weights corresponding to all the target storage environments. And obtaining the equivalent activation energy of the electronic device. The method can accurately evaluate the service life of the electronic device.

The invention discloses a forming method for a bent blade of a stamping and welding centrifugal pump, and relates to the field of centrifugal pump blades, which comprises the following steps: S1, three-dimensional modeling and plane unfolding; s2, wire cutting; s3, mold forming; s4, performing three-dimensional scanning; s5, arc analysis; s6, contour analysis; s7, clamping adaptation and gap detection; and S8, molding quality verification. According to the method, a stamping forming process and a three-dimensional scanning feedback technology system are combined, a closed-loop precision control system is formed, after stamping forming, a three-dimensional scanner is used for rapidly obtaining actual profile point cloud data of the blade, the actual profile point cloud data is compared with a design model in a high-precision mode, and profile deviation caused by springback is accurately quantified. And based on the deviation data, carrying out reverse compensation correction on the molded surface of the mold. The problems of profile out-of-tolerance and welding assembly clearance caused by springback are solved, and high-precision, high-efficiency and high-consistency manufacturing of the centrifugal pump bent blade is achieved.

The invention relates to the technical field of psychological prediction, and particularly discloses a webpage calculator construction and evaluation method for anticipated sadness occurrence probability of a family caregiver of a cancer patient, and the method comprises the steps: collecting the related data of the family caregiver and the cancer patient, determining the diagnosis standard of anticipated sadness through potential profile analysis, and evaluating the anticipated sadness occurrence probability of the family caregiver. And screening key predictive variables by using LASSO-logistic regression, constructing a predictive model, and developing an online webpage calculator based on a shiny technology. According to the method, the expected sadness risk of the family caregiver can be rapidly evaluated, the method has good distinction degree, calibration degree and clinical practicability, and a scientific basis is provided for medical staff to identify high-risk family caregivers and provide targeted support.

Described herein is a method for beam profile analysis using at least one camera. The method includes:a) at least one data acquisition step;b) at least one image compression step; andc) at least one evaluation step.

The invention discloses a hematologic tumor calming treatment and protection intervention method based on potential profile analysis, and relates to the technical field of medical treatment and health information analysis, and the method comprises the following steps: S1, constructing a multi-dimensional intervention feature data set; s2, constructing a profile analysis model according to the feature data set; s3, performing category stability verification according to a section analysis result; s4, screening an intervention reference template according to a stability verification result; s5, matching individual features according to the intervention reference template to form a preset intervention path; s6, constructing a profile-driven path execution and feedback control system by using an intervention preset path; by setting a profile response function modeling model and combining a multi-intervention feature matrix to construct a high-resolution profile function, the problem that an existing profile division model is insufficient in continuous variable processing capacity is effectively solved, the profile structure expression capacity and individual heterogeneity description precision are improved, and the profile division efficiency is improved. The method is suitable for the fine layered modeling requirement under the driving of multi-dimensional intervention features.

The invention discloses a workpiece contour projection extraction method and system based on ordered point cloud, and is applied to the technical field of three-dimensional precision measurement. The method comprises the following steps of obtaining high-precision ordered point cloud data of a target workpiece and performing preprocessing; geometric analysis is carried out through the three-dimensional visual point cloud model, and section parameters are defined; performing rapid gridding processing on the ordered point cloud data through an efficient triangulation algorithm; calculating to obtain an intersection discrete point set of the cross section and the triangular mesh; and establishing a section plane local coordinate system and implementing two-dimensional projection transformation to obtain the contour projection of the target workpiece. According to the method, high-precision, high-efficiency and automatic extraction of the section contour of the workpiece can be realized, the actual requirements of industrial field online detection and quality control are met, and the method can be applied to scenes such as part size detection, reverse engineering, quality control and contour analysis in industrial manufacturing.

The invention discloses a method for evaluating and strengthening interface characteristics of a copper-based composite material, and relates to the technical field of copper-based composite materials. A soil solution and carbon quantum dots are prepared, and the carbon quantum dots are added into the soil solution; the method comprises the following steps: simulating a corrosion process of copper-based composite materials with different aluminum contents in soil solutions with different carbon quantum dot contents, and carrying out polarization curve and electrochemical impedance spectroscopy analysis on the corroded copper-based composite materials by adopting an electrochemical workstation to obtain charge transfer resistance and impedance modulus values of the copper alloy composite materials; meanwhile, SEM, EDS and three-dimensional surface contour analysis are combined, and the surface morphology and roughness of the copper-based composite material are obtained; according to the method, the electrochemical method and the corrosion surface characterization method are combined, the change of the surface and interface characteristics of the copper-based composite material corresponding to different matching materials can be rapidly evaluated, so that the purpose of protecting the alloy material is achieved, and aluminum and carbon quantum dots are found to be capable of synergistically promoting the protection of the copper-based composite material.

The invention discloses a line laser 3D contourgraph working method integrating various stray light suppression algorithms, and the method comprises the steps: constructing a stray light sensitivity weight map based on a multi-exposure image sequence through the combination of a deep convolutional neural network and a point spread function; guiding Gaussian Laplacian pyramid adaptive filtering by using the weight map, and adjusting the filtering intensity by using a residual stability index to generate a purification intensity image; performing one-dimensional profile analysis based on the purified image and the original height map, calculating a morphological distortion index, extracting an energy concentration ratio through three-level wavelet packet decomposition, and triggering morphological restoration; performing center line extraction and motion blur correlation degree calculation on the repaired image, and performing anisotropic smoothing on the height map when a threshold value is exceeded; and registering the processed multi-frame height map, constructing geometric fidelity as a feedback driving genetic algorithm to optimize an initial parameter, and restarting a whole process until the fidelity meets a precision requirement. According to the invention, the precision of 3D imaging is improved through various stray light suppression algorithms.

The invention discloses a mixed DNA (deoxyribonucleic acid) map correlation analysis method based on STR (short tandem repeat) genotyping and a probability model, which comprises the following steps of: 1, determining the number of contributors of each STR map according to data feature information of N maps; 2, mutually exclusive propositions Hp and Hd are set, Hp represents that common contributors exist among the N mixed maps, and Hd represents that no common contributors exist among the N mixed maps; 3, calculating the frequency of the candidate genotype combination and the probability of occurrence of the peak height combination; step 4, calculating the likelihood ratio LRcommon of common contributors among the maps; 5, mutually exclusive propositions H1 and H2 are set, H1 is a reference individual which is a common contributor among the N mixed maps, and H2 is an unknown irrelevant individual which is a common contributor among the N mixed maps; 6, calculating a likelihood ratio LR, and obtaining a conjoint analysis result according to the LR; the method is suitable for conjoint analysis of different biological samples in the same case or among different cases, and systematicness and scientificity of mixed DNA map analysis are improved.

The application provides a bearing health state online evaluation method and system based on morphological profile analysis and federal evolution hypergraph, aiming at solving the problems of poor model self-adaptability, difficult cross-device knowledge migration and easy to be submerged early weak fault characteristics of the prior art under dynamic working conditions. The method captures the geometric profile evolution of bearing micro-damage by constructing a morphological multi-scale profile feature extraction engine, topologically preserving morphological decomposition of the vibration signal; adopts a Bayesian Poisson online learning algorithm to realize dynamic threshold adaptive updating and early warning of the health index; introduces an evolutionary hypergraph neural network to model the high-order multi-element fault propagation relationship between the bearing and the adjacent components; finally, through a federal edge collaborative framework, the incremental aggregation and knowledge migration of the cross-device model are realized under the premise of protecting data privacy. The application significantly improves the robustness of bearing fault diagnosis under variable working conditions and the sensitivity of early warning, and provides a lightweight and evolving solution for intelligent operation and maintenance in distributed industrial scenarios.

A method for managing collection of assets includes obtaining, using an action optimization manager, debtor information, associated with a set of debtor devices each executing on a computing device, from a data source, generating a set of state spaces based on debtor attributes of the debtor information, wherein each of the set of state spaces is a vector comprising debtor features obtained from the debtor information, applying an action-reward analysis on the set of debtor devices using the set of state spaces to generate state-action values for each of the set of debtor devices, applying, using the state action values, a profile analysis to obtain, for each of a set of collection devices, a debtor portfolio, and implementing collection actions based on the debtor portfolio for each of the set of debtor devices.

Techniques are provided for implementing liquid tolerance for a touch device. A sensor array of the touch device is scanned to generate response signals. In response to a response signal exceeding a touch threshold, a signal profile analysis is performed. The signal profile analysis includes sorting the response signals according to ascending order of delta positions to generate sorted signals. An extended vector of the sorted signals is formed. The extended vector of the sorted signals is analyzed using a fitted curve. In response to a feature of the fitted curve satisfying a criteria, the response signal is reported as a touch event. In response to the feature not satisfying the criteria, the response signal is rejected as a false touch.

An object of a system according to an embodiment is to analyze profile information and a desired condition of a user and perform optimal matching.SOLUTION: A system according to an embodiment includes a profile analysis unit, a matching unit, a communication support unit, a date plan suggestion unit, an advice providing unit, and a feedback collection unit. The profile analysis unit analyzes the profile information and the desired condition of the user using the generated AI. The matching unit performs optimum matching based on the profile information analyzed by the profile analysis unit and the desired condition. The communication support unit supports communication between the users matched by the matching unit. The date plan proposing unit proposes a date plan based on the desire or interest of the user. The advice providing unit provides the user with advice related to love and excitement. The feedback collection unit collects feedback from users to help improve the service.SELECTED DRAWING: Figure 1

The present application relates to the technical field of data processing, and discloses a method and system for extracting seawall feature information based on multi-source remote sensing data. The method includes: obtaining standardized data by performing band combination enhancement, geometric correction, and radiometric correction on multi-source remote sensing images; extracting seawall targets using multi-scale segmentation; identifying structural features through profile analysis and spectral matching; calculating vegetation indices and texture features to obtain ecological information; establishing an accuracy evaluation system; and finally constructing a feature information database. The present application improves the accuracy and efficiency of seawall feature information extraction through technical means such as multi-source data fusion processing, multi-scale feature extraction, and ecological feature evaluation, and solves the problems existing in data acquisition, processing, and evaluation of traditional methods.

The application discloses a straight line inspection method and system for visual positioning, and relates to the technical field of image processing. The method comprises the following steps: setting a search area according to the expected direction of a straight line, performing binarization and line segmentation in parallel to obtain a binary image and a line segmentation image; performing contour screening, candidate line segment fitting and collinear connection on the line segmentation image to obtain a line connection image; extracting the longest contour and fitting to obtain the end points of the straight line; combining the binary image, performing systematic sampling along the normal direction of the straight line, calculating the line width through profile analysis, and identifying the defects of broken line, too thin and too thick; and finally, quantitatively evaluating and automatically determining the effective length, the average line width and the defect proportion according to the preset quality standard. The method can screen reliable and complete straight line features for high-precision visual positioning, and significantly improves the robustness and practicability of the industrial visual system in complex scenes.

This invention relates to the field of intrinsic ability prediction technology and discloses a method for predicting the intrinsic ability characteristics of the elderly based on machine learning. First, intrinsic ability score data of the elderly in five dimensions, including cognition and psychology, are acquired, and heterogeneity classification is performed using latent profile analysis. Using the classification results as labels, random forest and LASSO regression are used in parallel to screen key predictive factors to form a feature subset. A classification prediction model is built based on XGBoost, and hyperparameters are optimized through cross-validation and grid search. The SHAP and LIME algorithms are integrated to achieve both global and local interpretability. Finally, the model is deployed on an online interactive platform, where inputting individual characteristics outputs the IC propensity classification, probability, and feature contribution explanation. This invention achieves accurate classification and interpretable prediction of the intrinsic abilities of the elderly, reduces the dependence of assessment on professionals and the environment, and is suitable for large-scale application in grassroots elderly care scenarios.

The application provides an age signal platform automatic deep profile analysis method based on a change point analysis, and belongs to the technical field of stratum age profile analysis. The method comprises the following steps: obtaining an original age depth sequence, pre-processing the original age depth sequence to obtain depth profile time sequence data; establishing an improved penalty value, and using a pruning accurate linear time algorithm to identify change points through dynamic programming and backtracking to obtain an optimal change point sequence and define an initial age signal platform; screening the initial age signal platform based on age background, internal difference, analysis duration and crystallization sequence to obtain a screened age signal platform; and performing inversion calculation on the screened age signal platform based on the optimal change point sequence by using a Bayesian segmentation regression model to obtain a verified age signal platform. The application solves the problems of the existing age signal platform interpretation method, such as lack of unified quantitative standard, low processing efficiency, difficulty in scaling and limited identification accuracy.

A method for managing virtual desktop management placement comprises obtaining, by a virtual desktop management placement service, a request for assigning a virtual desktop service manager to one of a plurality of management environments based on a security profile of the management environment, in response to the request: performing a security profile analysis on the plurality of management environments to assign a management environment to implement the virtual desktop service manager, and initiating a deployment of the virtual desktop service manager on the management environment based on the security profile analysis.

The present invention relates to the field of surface measurement technology, specifically to a rapid detection method for road surface smoothness based on laser radar, comprising the following steps: collecting vehicle posture data to form a three-dimensional vector, mapping laser data to a spatial coordinate system, identifying projection difference and adjusting the trajectory, detecting disturbances to generate a distribution area, translating direction lines according to lateral distribution, constructing reference lines through unified projection, extracting echoes and time indexes to reorganize time series segments, analyzing point number trends to screen stable segments, extracting symmetrical points and comparing angles to generate closed zones. In the present invention, by obtaining the posture vectors of the vehicle in roll, pitch, and yaw states, and mapping the laser echo ranging data to an absolute spatial coordinate system, the angle difference between the ranging direction and the ground direction is accurately calculated, the spatial matching accuracy of the measurement path is significantly improved, the longitudinal profile analysis result is closer to the actual road state, and the spatial integrity, trajectory smoothness, and profile structure rationality of the entire measurement process are comprehensively optimized.

This invention relates to the field of data analysis, and more particularly to a cloud-based agricultural input information management system, comprising: a profile analysis unit for determining whether to perform target analysis on target users based on historical search status; a data analysis unit for determining the confirmation method of recommendation coefficient based on the coverage balance value of each term cluster; a cluster update unit for determining whether each term cluster should undergo association update analysis based on periodic status; an information push unit for determining recommended information based on recommendation coefficient under a first preset recommendation condition and recording the term clusters of related users as term clusters of target users under a second preset recommendation condition; and a cloud storage unit for storing the search terms and term clusters corresponding to each target user. This invention effectively improves the accuracy of agricultural input information recommendation management.

The invention relates to the technical field of medical rehabilitation information, in particular to a rheumatism rehabilitation intelligent evaluation system based on an ICF concept and a classification system, and the system comprises a multi-source data module which is used for collecting and integrating multi-dimensional data; the dynamic evaluation module is used for constructing a dynamic weight distribution model based on an ICF theory and updating an evaluation result and a radar map according to the multi-dimensional data; the data feature module is used for performing high-dimensional feature dimension reduction processing according to the evaluation result and the radar map on the basis of a potential profile analysis algorithm, and identifying a hidden subtype; and the causal intervention module is used for nesting multi-dimensional dynamic coupling evaluation of an ICF theory, subtype identification of subtype analysis and causal modeling of a structural equation model to be applied to rheumatism rehabilitation decision making based on the hidden subtype when the rheumatism rehabilitation decision making system is used. The problems that traditional evaluation dimensions are single, data are statically isolated and are difficult to adapt to individual differences are solved, and the accuracy of an intervention strategy and the rehabilitation effect of a patient are improved.

1. The name of the design product: electronic device pipeline analysis graphical user interface. 2. The use of the design product: for electronic devices. 3. The design features of the design product: in the graphical user interface. 4. The picture or photo that best indicates the design features: front view. 5. The use of the graphical user interface: for pipeline accident analysis, including pipeline profile analysis, pipeline elevation analysis and analysis of surrounding elements. 6. The human-computer interaction mode of the graphical user interface: in the main view, clicking the menu bar content on the left side of the interface can display the corresponding content, and clicking "exit" in the upper right corner can exit the current interface. 7. Other circumstances that need to be explained: the single color block coating area in the view is the content picture, and X represents replaceable text.

The invention discloses a biomarker prediction system based on multi-omics data integration, a storage medium and a method, and relates to the technical field of data processing and bioinformatics, the system is used for performing gene mutation, CNV difference and transcriptome expression profile analysis on feature data, identifying differential expression genes related to biomarker states, and predicting biomarkers according to the differential expression genes. Obtaining a differential expression gene set; based on the gene set, an XGBoost algorithm is adopted to construct a prediction model, grid search and K-fold cross validation are combined to optimize model parameters so as to improve generalization ability and prevent overfitting, quantitative interpretation is performed on model feature importance by means of an SHAP algorithm, and an optimal key gene feature combination is screened out through multiple training validation to serve as a biomarker prediction panel. The technical effect of automatically discovering small and precise biomarker combinations from complex multi-omics data in a high-stability and high-interpretability mode is achieved, and a transparent and reliable basis is provided for clinical decisions.