5results about How to "Improve interpolation accuracy" patented technology

The application discloses a groundwater level space-time dynamic monitoring and visual analysis method and system, relates to the technical field of groundwater resource monitoring and visualization, and comprises the following six steps: multi-source data fusion preprocessing, mixed space interpolation of the Kriging and machine learning, isopachous surface generation and optimization, time sequence animation synthesis, abnormality identification and classification, and early warning heat map visualization. The system comprises a data acquisition module, a space interpolation module, an isopachous surface generation module, a time sequence animation module, an abnormality identification module and an early warning visualization module. The application improves the space interpolation precision through multi-source data fusion and mixed interpolation of the Kriging and machine learning, directly presents the space-time evolution of the water level through the isopachous surface and the time sequence animation, identifies abnormal areas such as over-exploitation funnel through space-time gradient analysis, and assists in management decision through the early warning heat map, so as to solve the technical problems of sparse monitoring sites and the difficulty of directly presenting the space-time evolution law in traditional reports.

The invention relates to the technical field of intelligent medical treatment, and discloses a lumbar endoscopic postoperative chronic neuropathic pain early warning deep learning large model system. According to the system, a postoperative multi-modal data initial pool of a patient is constructed, and original data streams are collected; performing space-time alignment and missing value interpolation on the original data stream by using the dynamic feature extraction network to form a standardized time sequence feature matrix; inputting the feature matrix into a hierarchical attention feature fusion network, calculating interaction weights of different modal features on a plurality of time scales, and generating enhanced feature representation fused with multi-scale context information; deducing an evolution path of a neural function state under different physiological parameter combinations through a risk trajectory simulation engine based on enhanced feature representation, and constructing an individualized risk evolution trajectory map; and according to the map, adopting a self-adaptive threshold decision model to identify an abnormal fluctuation interval deviating from a normal recovery mode, and outputting a chronic neuropathic pain risk early warning signal.

The invention discloses a wind resource data processing method and system, and the method comprises the following steps: carrying out the same-tower interpolation of the wind resource data of different height layers of a target anemometer tower through the target wind resource data of the target anemometer tower; after same-tower interpolation is carried out on the target anemometer tower, whether target data missing exists in the target wind resource data of different height layers or not is judged; selecting adjacent anemometer towers of the target anemometer tower according to the inter-tower distance and terrain similarity calculated according to the terrain data, and acquiring adjacent wind resource data of the adjacent anemometer towers; performing different-tower interpolation on target data in the target wind resource data of different height layers of the target anemometer tower by using the adjacent wind resource data; and obtaining corrected wind resource data of the target anemometer tower. According to the method, through'terrain similarity 'filtering, it is ensured that the microenvironments where the two towers are located are comparable, and the wind speed / wind direction correlation modeling precision is improved; when a plurality of suspected anemometer towers meet the terrain similarity, the suspected anemometer towers can be reserved at the same time, so that the interpolation precision is improved.

The embodiment of the application provides a non-stationary autoregressive regularization seismic data interpolation method and device, and belongs to the technical field of computers. The method comprises the following steps: acquiring seismic data; processing the seismic data based on a non-stationary autoregressive model to obtain prediction error filter coefficients; and reconstructing missing or aliasing data in the seismic data according to the prediction error filter coefficients and the seismic data to obtain interpolated data. The adaptive prediction error filter coefficients are estimated by minimizing the prediction error containing the regularization term, so that the interpolation is performed. The seismic data with non-stationary characteristics can be effectively processed, the interpolation precision is improved, the calculation time is reduced, and the complex underground structure is adapted. Through the shaping regularization technology, the application has wide application potential in the field of seismic exploration, and can significantly improve the efficiency and precision of oil and gas exploration.

This invention discloses a precise brain tumor resection path planning system integrating ultrasound and electromagnetic tracking, relating to the field of medical image processing. The invention includes: preoperative multimodal image segmentation and initial path planning; intraoperative real-time ultrasound image acquisition and feature point extraction; construction of a deformation interpolation model based on tissue type-weighted anisotropic kernel functions, introducing a divergence constraint regularization term; construction of a continuous three-dimensional deformation field within the region of interest using a hierarchical progressive strategy; application of the deformation field to the initial path for dynamic correction; control of the update frequency through an adaptive triggering mechanism, and real-time display of path risks using color coding. This invention achieves dynamic path correction in cases of intraoperative brain drift, contributing to improved accuracy in surgical path planning.