6 results about "Grid computing" patented technology

The application discloses a kind of NGSO constellation to GSO earth station lumped interference determination method and system, belong to satellite communication and radio electromagnetic compatibility analysis technical field, method includes: acquisition NGSO constellation and GSO earth station core parameter;Analysis orbit parameter determines reference satellite position plane, conversion geocentric angle and divide coarse grid;Iterate coarse grid and deduce whole constellation satellite three-dimensional position;Calculate link angle and screen collinear interference satellite, mark initial CIR;Satellite position probability density function is constructed, and the total interference probability that initial CIR is integrated is obtained;Compare threshold probability and optimize CIR range;Subdivide final CIR into fine grid, calculate each point lumped interference and probability;Local cumulative distribution curve is constructed, and interference determination is completed by comparing with protection limit value.The application is combined with physical geometric constraint and probability density distribution theory, greatly reduce the amount of calculation, guarantee determination accuracy and compliance, applicable to spectrum coordination, satellite network declaration and other engineering scenarios.

The present application relates to the technical field of urban design and smart community planning, and discloses a community resilience space quality improvement design method based on multi-dimensional space image recognition, comprising: collecting overhead and viewpoint modal images of the community, and performing data preprocessing and pixel-level space resilience element category label annotation; constructing an improved lightweight segmentation network model; inputting the labeled overhead and viewpoint modal images into the model for training; obtaining the overhead and viewpoint modal images of the target community, inputting the trained model after data preprocessing, and generating a semantic segmentation result image of the target community; dividing the semantic segmentation result image into a plurality of grids, calculating the pixel proportion of each category in each grid, and obtaining a space resilience index; comparing the space resilience index of each grid with the corresponding preset threshold, identifying the problem grid, and matching the community resilience space quality design improvement strategy; the present application realizes community resilience diagnosis and efficient design scheme generation.

A kind of underwater vehicle noise prediction correction method based on bayesian inference, calculation model (1) includes Corcos autospectrum and Corcos normalized cross power spectral density function calculation model;According to calculation model (1), construct the schematic diagram (2) of bayesian network, the key factor identification and state analysis of the key factor of the modeling of the influencing factor of turbulent fluctuation pressure in bayesian network in schematic diagram (2) of bayesian network are built-in bayesian inference;According to the schematic diagram (2) of bayesian network, model in NETICA software, construct directed acyclic bayesian network (3);Reference calculation model (1) and directed acyclic bayesian network (3) are simulated setting (4) and noise signal comparison (5).The present application has the advantages of ensuring the precision of low-frequency noise prediction in sparse grid large size, improves the problem that the grid scale of finite element model and the space related scale of turbulent boundary layer pressure do not match and the calculation amount is too large when fine grid is used.

A distributed computing system, comprising a control node and a plurality of provider nodes. One or more of the provider nodes are a customer premises equipment (CPE), each CPE comprising one of: a broadband router, a modem, a residential gateway. The control node and the plurality of provider nodes are arranged in a grid computing network to provide a distributed computational resource by aggregating surplus computational resources at the plurality of provider nodes.

The present application relates to a kind of radar metal ball calibration method, device, computer equipment and medium, comprising: the directional diagram data of radar transmitting antenna and receiving antenna is acquired, the normalized processing is carried out to directional diagram data, and the normalized data after obtaining;Based on the normalized data of corresponding angle, construct discrete grid, calculate the solid angle microelement of each grid in discrete grid;Based on solid angle microelement, the normalized data of corresponding angle is carried out discrete integration operation, and the integral data of corresponding angle is obtained;The input parameter of radar calibration is acquired, and based on input parameter and integral data, the theoretical reflectivity factor of receiving antenna at each angle is calculated;Based on the theoretical reflectivity factor of each angle, corresponding radar calibration parameter is calculated, and radar calibration parameter is transmitted to signal processor, and system calibration is completed.This method can improve the calibration precision of radar system under wide emission narrow collection mode.

This invention discloses a short-term precipitation forecasting system and method based on multi-source radar data fusion, belonging to the field of meteorological forecasting technology. It simultaneously acquires multi-band radar data, preprocesses it to construct a standardized data system, employs a dynamic weighting algorithm to calculate reliability grid-by-grid, forming a weight distribution matrix, extracts multi-scale precipitation features in parallel, integrates these features using an attention fusion mechanism, and locates key precipitation areas. Finally, it generates high-resolution short-term precipitation forecasts, outputs visual products, and classifies warning levels. This invention overcomes the limitations of single-band detection through multi-source radar data integration and dynamic weighting, comprehensively improving the comprehensiveness and accuracy of precipitation feature extraction. Furthermore, it accurately locates key precipitation areas using an attention fusion mechanism, generates high-resolution forecasts, and scientifically classifies warning levels, thus improving the spatiotemporal accuracy and operational efficiency of short-term precipitation forecasts and providing reliable support for meteorological warnings and emergency responses.