PendingCN122548571Acapture in timeSuppress diffusion effects
This invention belongs to the technical field of computer-aided design and simulation, and relates to a method and system for calculating the leakage of hydraulic facilities by integrating multi-source data. The method includes: receiving raw sensor time-series signals and reconstructing a multi-dimensional time evolution trajectory in a local phase space; extracting the dynamic deviation at abrupt changes and encoding it as a hydraulic transient characteristic tensor; performing singular valuedecomposition on the tensor using a discrete fractured mesh model to extract the feature spectrum; when it matches the critical deformation matrix, activating the nonlinear turbulence equation to rewrite the state parameters and outputting the pressure head distribution; calculating the simulated entropy yield based on the flow field gradient characteristics and thermodynamic laws; if it is less than a compliance threshold, generating a channel mask array to shield abnormal data sources; if the threshold is met, calculating the facility leakage. This invention solves the problem that insufficient fusion depth between the physical model and multi-source monitoring data leads to limitations in the reliability and real-time response of leakage calculation under complex operating conditions.
This application discloses a semiconductor structure and its manufacturing method. The semiconductor structure is axisymmetric and includes: an active region; a recessed portion formed in the center of the active region, and a protrusion formed on each side of the recessed portion; a drain located at the bottom of the recessed portion; a data line contact located on the drain; a gate sidewall layer located on one side of the data line contact; two isolation structures located on both sides of the active region; two gate layers located on the side of the gate sidewall layer on the same side away from the axis of symmetry; two word lines located above the gate layers on the same side; and two sources located on the protrusions on the same side. The semiconductor structure of this application can reduce interference errors caused by inter-cell interference due to miniaturization of the manufacturing process, prevent characteristic changes (degradation) caused by inter-row coupling, and effectively improve the reliability of highly integrated semiconductor products.
The invention discloses a laboratory quality controldata management method, and relates to the technical field of big data management, and the method comprises the steps: obtaining laboratory quality control data, and carrying out the classification according to the food category, and obtaining a plurality of quality control data sets; performing trend consistency analysis on a plurality of pieces of detection category data in the quality control data sequence to obtain category credibility; performing category integrity analysis on the quality control data sequence to obtain integrity credibility; screening to obtain quality control data sequences of a plurality of same storage places, and performing transverse trend consistency analysis to obtain transverse credibility; and performing weighted calculation on the category credibility, the integrity credibility and the transverse credibility to obtain comprehensive credibility, performing credibility grading on the quality control data sequence, performing hierarchical storage, and performing laboratory quality control data management. The technical problem of poor quality control data management effect in the prior art is solved.
The invention belongs to the technical field of artificial intelligence and unmanned systems, and particularly discloses an unmanned system-oriented dual-channel knowledge-driven network trajectory prediction method, which comprises the following steps of: receiving scene data of a dynamic target in an operation scene of an unmanned system, and constructing a dynamic heterogeneous graph comprising a plurality of semantic nodes and a plurality of connection relationships based on the scene data; a two-channel encoder is adopted to encode the dynamic heterogeneous graph, and a first feature sequence representing dynamic interaction and a second feature sequence representing instantaneous physical geometry are obtained; the dual-channel encoder comprises a knowledge-driven dynamic interaction channel and a parallel instantaneous physical geometry channel; fusing the features of the first feature sequence and the second sequence by adopting a dynamic gating mechanism to obtain a unified scene context vector; and decoding the scene context vector by adopting a query-based multi-mode decoder to generate at least one group of prediction tracks and determine confidence scores corresponding to the prediction tracks. According to the invention, the accuracy and reliability of trajectory prediction can be improved.