Patents
Literature
Patsnap Eureka AI that helps you search prior art, draft patents, and assess FTO risks, powered by patent and scientific literature data.

4 results about "Inversion Time" patented technology

Cardiac magnetic resonance longitudinal relaxation time measurement method, medium, and apparatus

PendingCN122096760ASensorsDiagnostic recording/measuringRelaxation curveCardiac cycle
The present application relates to a kind of cardiac magnetic resonance longitudinal relaxation time measurement method, medium and equipment.The measurement method includes the following steps: S1 uses MOLLI sequence respectively before and after scanning contrast;Specifically, in the before and after scanning contrast, by setting different initial inversion time TI, setting 3 groups of LL experiment LL1, LL2, LL3 triggered by continuous ECG, enough relaxation curve sampling points are obtained after fusion;And data is collected at the end of diastole of cardiac cycle, and 1 image is obtained per heartbeat;S2 image processing.This measurement method can realize single-pixel high-resolution T1 mapping under the breath holding of selection data acquisition and multi-LL experiment data fusion, give consideration to high accuracy, high resolution and high efficiency, and have good compatibility and practicality, provide new scheme for early diagnosis of heart disease, lesion quantification and prognosis evaluation, have wide clinical application prospect.
Owner:MEI HOSPITAL UNIV OF CHINESE ACAD OF SCI +1

A dam seepage edge real-time inversion method based on physical information neural network

This invention discloses a real-time inversion method for seepage edge analysis in dams based on a physical information neural network, belonging to the field of water conservancy engineering safety monitoring technology. The method includes: collecting and preprocessing multi-source monitoring data on seepage pressure, temperature, and deformation; constructing a seepage-temperature-deformation coupling mechanism model; constructing a physical information neural network, embedding the partial differential equations of seepage mechanics as physical constraints into the loss function, and using hard constraint boundary conditions; lightweighting the model and deploying it on edge computing nodes to achieve real-time seepage field inversion; and performing streamline tracing and comprehensive anomaly index calculation based on the inversion results to identify abnormal seepage paths and provide graded early warnings. This invention achieves technical effects such as an inversion accuracy R²=0.97, low equation residuals, short single inversion time (seconds), and anomaly identification accuracy of 94%, and can be widely applied to seepage safety monitoring of reservoirs, dams, dikes, and tailings ponds.
Owner:SHAANXI SCI TECH UNIV

A SCADA incident inversion method, device, apparatus and medium

PendingCN122317353AMissing dataSCADA
This invention discloses a SCADA incident inversion method, apparatus, equipment, and medium, relating to the field of monitoring technology. The method includes: determining an inversion time interval based on an alarm event and a preset inversion duration; acquiring historical data within the inversion time interval, and processing unexpected or missing data using a preset data repair strategy to obtain a continuous time-series target historical data sequence; based on the target historical data sequence, and combining the correlation between historical data and SCADA screen configuration, reconstructing and rendering the monitoring screen state at the target time according to a set time step, generating time-series image frames; and synthesizing the time-series image frames into an incident inversion playback video. This enables intuitive restoration and controllable playback of the incident process within a specified time period of the SCADA system, making the incident inversion process more intuitive and visual, while also possessing video-level playback control capabilities, effectively improving the efficiency and intuitiveness of incident analysis.
Owner:HNAC TECH