23 results about "Correspondence analysis" patented technology

The invention discloses a casting surface treatment defect detection and quality evaluation method and system, and relates to the technical field of casting quality evaluation, and the method comprises the steps: collecting the surface data of a to-be-detected casting, and carrying out the data preprocessing, and obtaining a standardized input data set and a standardized data subset; calling a corresponding analysis sub-model for each subset, outputting quality features and confidence coefficients, and summarizing the quality features and the confidence coefficients into a sub-source result; environment state information is acquired to determine sub-model weights, and weighted fusion is carried out on sub-source results to obtain an evaluation result and an overall confidence coefficient; calculating space / feature / time consistency and judging according to a combination rule; when a re-checking condition is met, obtaining a re-checking label backflow updating data set, and training an updating model and parameters; and dynamically adjusting the threshold value and the weight value according to the performance index for subsequent evaluation. According to the method, multi-source data and environment information can be fused, weight self-adaption and closed-loop updating are parallel, accuracy and stability are improved, misjudgment and missed judgment are reduced, and complex working condition adaptability and long-term reliability are enhanced.

The invention provides a visual language corresponding AI generation panoramic image quality evaluation method and system, and the method comprises the steps: obtaining an AI generation panoramic image, and carrying out the sampling of the AI generation panoramic image; based on the image block set, utilizing a visual encoder to carry out feature representation on the image blocks; performing feature representation on text description attached to the panoramic image generated by the AI by using a language encoder; l2 normalization processing and cosine similarity calculation are sequentially carried out on the visual features of the image blocks and the text features of the text description; and processing the fused feature vector by using a full-connection network and a normalization function. According to the method, visual language corresponding analysis, the AI generated panoramic image and the corresponding text description are used, linkage analysis of the visual language corresponding analysis and the AI generated panoramic image and the corresponding text description is carried out, and the learned visual language corresponding relation is utilized, so that the quality score of the AI generated panoramic image is efficiently and accurately predicted.

The invention discloses an intelligent data analysis system and method based on source-network-load-storage integration, and relates to the technical field of electric power analysis, the method comprises the steps: carrying out the statistics of the historical average power consumption of a certain time period, and determining a characteristic time period; a training period is set, the electricity consumption of the load end at the sampling time point is collected, and the electricity consumption fluctuation rate of the load end in the characteristic time period is calculated; drawing an electricity consumption fluctuation graph of the load end in the characteristic time period in the training period, and determining a target load end; generating an energy storage end group, collecting operation parameters of the energy storage end group, calculating an operation score of the energy storage end group, and drawing a feature operation score graph of an analysis period corresponding to the energy storage end group; and acquiring a real-time operation score of the energy storage end group, calculating a real-time analysis period of the energy storage end group, judging an abnormal analysis state of the energy storage end group, and ensuring efficient and stable operation of the source-grid-load-storage integrated power system.

The present invention discloses a data intelligent analysis system and method based on the integration of source, grid, load and storage, which relates to the technical field of power analysis. The present invention counts the historical average power consumption in a certain time period and determines the characteristic time period; sets a training cycle, collects the power consumption of the load end at the sampling time point, and calculates the power consumption fluctuation rate of the load end in the characteristic time period; draws the power consumption fluctuation diagram of the load end in the characteristic time period within the training cycle, and determines the target load end; generates an energy storage end group, collects the operating parameters of the energy storage end group, calculates the operating score of the energy storage end group, and draws the characteristic operating score diagram of the analysis period corresponding to the energy storage end group; obtains the real-time operating score of the energy storage end group, calculates the real-time analysis period of the energy storage end group, and judges the status of the abnormal analysis of the energy storage end group to ensure the efficient and stable operation of the source, grid, load and storage integrated power system.

The present application relates to the technical field of computer vision and video analysis, in particular to a video stream intelligent analysis method and system in a smart fire monitoring platform; the method comprises: acquiring multiple monitoring video streams of the same target monitoring scene, identifying combustible components and fixed reference objects, and constructing a component reference linking table; generating directional migration edges based on the component migration relationship between the combustible components, establishing an ignition migration three-dimensional network; establishing a fixed reference object time-sharing blanking table for the blanking state data of the fixed reference objects in consecutive time slices, determining a target reference object, establishing a component blanking succession table, generating a sequential correspondence relationship and calculating a migration consistency value and a blanking succession consistency value; generating a target fire condition judgment result based on the foregoing results and outputting the result to the smart fire monitoring platform. The present application realizes the structured identification, sequential correspondence analysis and unified fire condition judgment of the fire condition evolution process in multiple monitoring video streams.

The present invention provides a business processing method and apparatus, particularly in the field of big data. The method comprises: parsing business process configuration information to obtain all states, state transition conditions, and state transition actions of a target business; determining whether the number of states, the number of state transition conditions, and the number of data operations performed by an action meet a first condition; if so, encapsulating a target business interface based on a state transition array; if not, determining whether the number of states, the number of state transition conditions, and the number of operations meet a second condition; if so, performing a correspondence analysis on the business process configuration information to obtain a correspondence between states and actions, obtaining multiple state-action sets based on the state-action correspondences, encapsulating a target business interface based on the state-action sets; and executing the target business interface to perform business processing. The present invention can improve the speed and accuracy of business processing.

This invention relates to the field of electro-digital data processing technology, specifically to a method and system for monitoring the dispersion state of mesoporous carbon electrode slurry based on data fusion. The method includes: performing Granger causality tests on time-series monitoring data to identify target sensor pairs and their causal directions, determining the causal and consequential sensors; performing multi-scale decomposition; performing cross-scale correspondence analysis to determine the cross-scale correspondence layer; setting a prediction window and verifying cross-scale response during real-time monitoring; and calculating the dispersion state index of the mesoporous carbon electrode slurry. This invention establishes a causal correlation and transfer parameter model between monitoring data at the micro-particle scale and macro-flow behavior scale of mesoporous carbon electrode slurry through the coupling of Granger causality tests and multi-scale decomposition, enabling the dispersion state assessment to reflect cross-scale dynamic evolution rather than local information at a single scale.

The invention discloses a visual A / B test data analysis method and device based on a large model, and the method comprises the steps: displaying A / B test data index information of a to-be-analyzed object under different analysis dimensions on a data analysis page, and carrying out the associated display of an analysis function entry used for triggering the large model to analyze the A / B test data index information for each analysis dimension; and in response to a trigger operation on the analysis function entry associated with the target analysis dimension, displaying a data analysis result of the A / B test data index information under the target analysis dimension. Therefore, the analysis function entry can be triggered in a visual mode, and the analysis efficiency and the analysis accuracy can be improved by automatically analyzing the A / B test data index information through a large model. Besides, each analysis dimension displays an analysis function entry in an associated manner, so that the analysis function entry associated with the corresponding analysis dimension can be triggered based on user requirements, targeted A / B test data index information analysis is realized, and the user experience is improved.

The invention relates to a method for detecting soiling (V) on a windscreen (2) of a vehicle (3), wherein in an application method - in data of the vehicle environment recorded by an environment detection sensor (5), positions of surrounding objects (O1 to On) and distances (d, d1 to d8) of the surrounding objects (O1 to On) to the vehicle (3) are determined, - in images (B1 to Bz) of the eyes (A1, A2) of the driver (F) captured by a driver observation camera (4), the gaze direction (BR1 to BRm) of the driver (F) and the accommodation (AK) of the eyes (A1, A2) are determined, - a correspondence analysis determines which surrounding object (O1 to On) the driver (F) is looking at, and - using a calibration function (f) determined in a calibration process, a soiling-free windshield (2) is detected if a relationship between the distance (d, d1 to d8) of the respective surrounding object (O1 to On) and the accommodation (AK) of the eyes (A1, A2) of the driver (F) when looking at this surrounding object (O1 to On) lies within a predetermined target range, and soiling (V) of the windshield (2) in the field of vision of the driver (F) is detected if the relationship lies outside the predetermined target range. The invention further relates to a method for operating a cleaning device (1) for a windshield (2) of a vehicle (3).

The invention relates to the technical field of supplier early warning, in particular to a detailed evaluation supplier risk early warning system and early warning method. Comprising an information acquisition unit which is interconnected with data updating systems corresponding to different supplier information issuing ends, acquires influence factors influencing enterprise resource acquisition, and converts the influence factors into corresponding different early warning coefficients; the data analysis unit is used for receiving different early warning coefficients influencing enterprise resource acquisition from the information acquisition end, and loading the early warning coefficients into a data analysis model for analysis by the data analysis model to obtain risk assessment data points corresponding to different suppliers; and the risk assessment unit receives risk assessment data points analyzed by the data analysis unit for different suppliers at any time, calls risk threshold points stored in the database storage unit, and carries out corresponding analysis and assessment to determine whether risk early warning needs to be carried out or not. According to the system, related data of suppliers can be analyzed, and rapid early warning can be carried out on data which are not beneficial to enterprises.

A device and a method that can be used to perform a correspondence analysis in image data in a particularly low-noise and efficient manner. The device and method include selecting image patches from individual images and generating a plurality of one-dimensional signals using even and odd convolution kernels in the spatial window in each case, and processing differences between the convolution results in a non-linear manner and accumulating these differences to form a correspondence function and evaluating this function.

The present invention proposes an AI-generated panoramic image quality evaluation method and system based on visual-language correspondence. The method includes: obtaining an AI-generated panoramic image and sampling the AI-generated panoramic image; based on the set of image patches, using a visual encoder to represent the features of the image patches; using a language encoder to represent the features of the text description attached to the AI-generated panoramic image; performing L2 normalization processing and cosine similarity calculation on the visual features of the image patches and the text features of the text description in sequence; using a fully connected network and a normalization function to process the fused feature vectors. The present invention uses visual-language correspondence analysis to perform joint analysis on the AI-generated panoramic image and its corresponding text description, and uses the learned visual-language correspondence relationship to efficiently and accurately predict the quality score of the AI-generated panoramic image.

The application provides an interventional operation robot system for transcutaneous atrial septal defect occlusion, and relates to the technical field of atrial septal defect occlusion interventional operation. The interventional operation robot system is configured to: acquire historical occluder selection data, perform correspondence analysis based on balloon expansion diameter measurement data, and form occluder selection feature data; acquire balloon expansion diameter real-time measurement data, and perform extraction analysis of effective expansion diameter measurement data to form real-time expansion diameter measurement data; perform occluder selection analysis according to the real-time expansion diameter measurement data and the occluder selection feature data, and determine a target occluder; acquire real-time shunt image data, perform shunt effect analysis, and form occlusion effect analysis result data. The interventional operation robot system improves the success rate of the operation by reasonably selecting the occluder through the operation robot, and effectively guarantees and realizes the further operation effect of the interventional operation.

The invention relates to a method for detecting soiling (V) on a windscreen (2) of a vehicle (3), wherein in an application method - in data of the vehicle environment recorded by an environment detection sensor (5), positions of surrounding objects (O1 to On) and distances (d, d1 to d8) of the surrounding objects (O1 to On) to the vehicle (3) are determined, - in images (B1 to Bz) of the eyes (A1, A2) of the driver (F) captured by a driver observation camera (4), the gaze direction (BR1 to BRm) of the driver (F) and the accommodation (AK) of the eyes (A1, A2) are determined, - a correspondence analysis determines which surrounding object (O1 to On) the driver (F) is looking at, and - using a calibration function (f) determined in a calibration process, a soiling-free windshield (2) is detected if a relationship between the distance (d, d1 to d8) of the respective surrounding object (O1 to On) and the accommodation (AK) of the eyes (A1, A2) of the driver (F) when looking at this surrounding object (O1 to On) lies within a predetermined target range, and soiling (V) of the windshield (2) in the field of vision of the driver (F) is detected if the relationship lies outside the predetermined target range. The invention further relates to a method for operating a cleaning device (1) for a windshield (2) of a vehicle (3).

The present invention provides a method for diagnosing the service behavior of a structure based on the failure modes and failure paths of high dams, including: constructing a high dam failure case database and extracting failure characteristic parameters; applying multi-scale hierarchical adaptive correspondence analysis to solve the problem of unbalanced characteristic weights through characteristic weight calculation, hierarchical weighting of failure modes, establishment of physical similarity indicators, and structural difference compensation, and generating a weighted similar project ranking list; constructing a time-series adaptive network model coupled with multiple failure modes to solve the problem of imperfect time-series evolution mechanism of failure paths and outputting a time-series failure path prediction model; combining the similar project ranking list and the time-series failure path prediction model to conduct engineering analogy analysis and generate a high dam safety status assessment report. It solves the technical problems such as the short operation time of super-high dams, insufficient monitoring information, and the difficulty of numerical analysis results to fully reflect the actual project, and provides a new technical path and solution for high dam safety assessment and risk management.

This invention discloses an auxiliary robot construction method and system for boulders masonry in water conservancy projects, relating to the field of data processing technology. The method includes the following steps: acquiring the morphological data of the boulders to be laid and the data of the existing masonry structure, and analyzing to obtain the initial placement position; performing position correspondence analysis based on the initial placement position and the current masonry structure to obtain a centroid offset parameter set; combining the data of the existing masonry structure to perform inter-layer attitude influence analysis, obtaining an inter-layer attitude influence parameter set, and performing cumulative analysis along the extension direction of the current masonry layer to obtain the cumulative change value of inter-layer attitude; determining inter-layer stability based on the cumulative change value of inter-layer attitude; if the inter-layer is stable, the initial placement position is used as the final placement position; otherwise, the initial placement position is corrected to obtain the final placement position, which is then sent to the auxiliary robot. This invention can reduce the risk of masonry tilting caused by the cumulative offset of irregular boulders' inter-layer attitude.

The invention provides a knowledge graph construction and application method and terminal, and the method comprises the steps: collecting subject domain data, and extracting subject-related entities through employing a named entity recognition algorithm; based on a support vector machine and graph neural network joint relation extraction algorithm, determining an association relation between the entities, and constructing a subject knowledge graph taking the entities as nodes and the association relation as edges; and acquiring learning behavior data of the user, establishing a corresponding relationship between the learning behavior data and nodes in the subject knowledge graph, analyzing and determining knowledge omission features of the user based on the corresponding relationship, and reporting the knowledge omission features. According to the method, the learning track of the student is systematically analyzed from the knowledge point association hierarchy, hidden vulnerabilities in the learning process are mined, the depth and accuracy of learning diagnosis are improved, and personalized academic analysis under the perspective of knowledge structures is truly realized.

The invention discloses a sulfur-containing compound detection method of a three-color luminescent carbon quantum dot colorimetric and fluorescent dual-mode sensing array. Belongs to the technical field of sulfur-containing compound analysis and detection. A three-color CDs solution with high fluorescence quantum yield and tunable emission wavelength is prepared by a hydrothermal method. The method comprises the following steps: respectively mixing single sulfur-containing compounds with different concentrations and multi-element sulfur-containing compounds with different concentration ratios with a three-color CDs solution, carrying out colorimetric and fluorescence detection, normalizing the relative absorbance and the relative fluorescence intensity, training colorimetric and fluorescence data sets by using a Fisher discrimination method, and determining the concentration of the sulfur-containing compounds in the three-color CDs solution. Constructing a single sulfur-containing compound and multi-element sulfur-containing compound three-channel fluorescence and colorimetric dual-mode sensing array; a standard curve between the concentration of the single sulfur-containing compound and the main factor is established through corresponding analysis in multivariate statistical analysis, so that quantitative detection of the single sulfur-containing compound is realized; through a Fisher discriminant method or hierarchical clustering analysis (HCA), identification of multiple sulfur-containing compounds in an environmental water body sample and red wine is successfully realized.

The application provides a public cloud product recommendation method, device, equipment, medium and computer program, and relates to the technical field of computers, which comprises obtaining first information and second information; performing feature matching and data analysis according to the first information and the second information to obtain third information; constructing a cloud product prediction mathematical model according to the second information, and taking the third information as an input value of the cloud product prediction mathematical model to predict fourth information; performing comprehensive evaluation processing according to the fourth information to obtain fifth information, wherein the fifth information comprises at least one cloud product combination package and a corresponding analysis result; obtaining feedback information according to a package selected by a user in the fifth information and an actual use condition, and optimizing the cloud product prediction model according to the feedback information. According to the application, a recommendation system based on machine learning is used, cloud resource products suitable for a user are matched according to a demand portrait of the user, and more accurate and diversified cloud product recommendation is provided for the user.

This invention provides a method and system for call center dialogue sentiment analysis that integrates speech and text, belonging to the field of speech signal processing technology. The method includes: acquiring speech signals and corresponding transcribed text from the call center; extracting tone, speech rate, intensity, and pause sentiment features from the speech signals; simultaneously performing deep language analysis on the transcribed text to extract context-dependent semantic sentiment features; conducting cross-modal correlation analysis on the speech and semantic sentiment features; and generating temporal correction coefficients for feature alignment by constructing a correspondence analysis framework between feature sequences. This invention integrates linguistic sentiment information from speech and text, enabling more accurate and comprehensive identification of sentiment in call center dialogues, providing a reliable sentiment analysis basis for improving customer satisfaction and efficiently handling customer requests.

The present disclosure provides a method for diagnosing structural in-service performance based on high dam risk mode and failure path. The method includes: constructing a high dam risk incident case database and extracting risk feature parameters; applying multi-scale hierarchical adaptive correspondence analysis, and resolving the problem of imbalance feature weights through feature weight calculation, hierarchical weighting of risk modes, establishment of physical similarity indices, and structural difference compensation, generating a weighted similar-project ranking list; constructing a time-series adaptive network model with multiple failure modes coupled to address the imperfect time-series evolution mechanism of failure paths, and outputting a time-series failure path prediction model; combining the similar-project ranking list and the time-series failure path prediction model to conduct engineering analogy analysis and generate a high dam safety status assessment report.

The present invention provides a method and system for managing and controlling secondary equipment configuration files in a smart substation, relating to the technical field of secondary equipment configuration file management. The method includes obtaining all updated configuration files and performing file correspondence analysis to determine the configuration files to be replaced corresponding to different updated configuration files; performing replacement consistency analysis on the different updated configuration files based on the corresponding configuration files to be replaced, generating replacement consistency analysis result data; and outputting and storing the replacement configuration files based on the replacement consistency analysis result data. This method achieves efficient and accurate management of device configuration files through an information-based management approach, improving management efficiency while also significantly reducing management errors caused by human factors.

The invention provides an interventional operation robot system for percutaneous atrial septal defect plugging, and relates to the technical field of atrial septal defect plugging interventional operations. The interventional surgery robot system is configured to obtain historical occluder selection data, perform correspondence analysis based on balloon extension diameter measurement data, and form occluder selection feature data; acquiring real-time measurement data of the expansion diameter of the balloon, and extracting and analyzing effective measurement data of the expansion diameter to form real-time measurement data of the expansion diameter; carrying out plugging device selection analysis according to the real-time extension diameter measurement data and plugging device selection characteristic data, and determining a target plugging device; and obtaining real-time shunting image data, and carrying out shunting effect analysis to form plugging effect analysis result data. According to the interventional operation robot system, the success rate of the operation is improved by reasonably selecting the plugging device through the operation robot, and the further operation effect of the interventional operation is effectively guaranteed and achieved.