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2results about How to "High false positive rate" patented technology

A water conservancy embankment safety hidden danger digital management method, system, device and medium

PendingCN122388469AReduce false alarm rateEliminate background temperature differencesFeature extractionPrincipal component analysis
The application relates to a water conservancy embankment safety hidden danger digital management method, system, device and medium. The method comprises the following steps: reconstructing and expanding a space-time temperature field data matrix according to a natural day cycle through a sliding time window to obtain a third-order space-time temperature tensor; performing blind source separation iteration solving on the third-order space-time temperature tensor through adaptive robust tensor principal component analysis to obtain a low-rank environmental temperature field and an original sparse leakage temperature field; performing connected domain clustering and space-time consistency feature extraction on the sparse leakage temperature field to obtain candidate leakage events corresponding to each connected domain; performing spatial Gaussian fitting verification and time series autocorrelation verification screening on each candidate leakage event to obtain suspected leakage events, and performing leakage parameter quantitative estimation on each suspected leakage event to obtain safety hidden danger digital information. The method can adaptively match the embankment monitoring environment without external reference sensors, and can complete accurate identification and quantitative evaluation of leakage hidden dangers.
Owner:JINAN YELLOW RIVER RIVER AFFAIRS BUREAU OVERPASS YELLOW RIVER RIVER AFFAIRS BUREAU

A method for identifying three-way of heating and ventilation in marine converter station based on graph neural network

The application provides a kind of based on deep learning's marine converter station warm air professional three-way identification method, comprising the following steps: obtaining the dwg file of target warm air professional CAD drawing, constructs graph structure: graph data annotation based on prior knowledge: model training and topological feature learning based on graph neural network;To the graph structure that is well constructed, all subgraphs containing 3 lines are intercepted by sliding window, as the input of the trained graph neural network, the subgraph with confidence degree greater than or equal to threshold is screened and classified, and is determined as three-way, and the three-way area boundary box and the three interface center point coordinates are output.The application constructs graph structure with lines as nodes, directly models the core topological relationship of three-way, avoids the dependence of prior art on form details and pixel noise;By adjusting the angle range, distance threshold and other parameters, the warm air three-way of different specifications can be adapted, or migrated to other industrial pipeline components (such as four-way, elbow) identification scene, without reconstructing network architecture, reducing technical iteration cost.
Owner:POWERCHINA HUADONG ENG CORP LTD

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