4 results about "Correspondence analysis" patented technology

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.

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.

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 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.