4 results about "Inversion methods" patented technology

This invention discloses a high-precision inversion method for cloud microphysical parameters in high-latitude cold regions, belonging to the field of aviation meteorology and cloud physics detection technology. Addressing the problems of poor environmental adaptability, lack of error verification, and low accuracy in inverting parameters of large supercooled water droplets under the cold temperate vortex / frontal weather conditions of high latitudes (47°–53°N), this invention achieves high-precision inversion of liquid water content, effective particle radius, particle number concentration, and particle size distribution through five steps: raw data standardization, cold-region-specific instrument coefficient calibration, step-by-step inversion of core parameters, and multi-dimensional cross-validation. This invention significantly improves the accuracy and environmental adaptability of cloud microphysical parameter inversion in high-latitude cold regions by over 30% through extreme cold environment instrument coefficient correction, cold-region physical rationality verification, multi-probe cross-validation, and SLD large particle size distribution optimization strategies. It can directly support aviation meteorological icing warnings and aviation operational safety assurance, requires no additional hardware equipment, and is easy to deploy operationally.

The overweight prefabricated part overturning tool comprises a connecting rod, the two ends of the connecting rod are detachably connected with core shafts, the ends, away from the connecting rod, of the core shafts are extending ends, the extending ends are sleeved with pulleys, threaded connectors are arranged at the extending ends, and locking nuts are installed on the threaded connectors. The overturning tool has the beneficial effects that by means of the sectional type design, the weight of the overturning tool is reduced, an operator can achieve sectional type disassembly and assembly, operation of the operator is convenient, the labor intensity is reduced, and the safety of aerial work of the operator is guaranteed; and the rotation stopping sheets are arranged, so that relative fixation of the positions of the core shaft and the pulley hub is guaranteed, the phenomenon that the locking nut is loosened due to torsion generated in the overturning process of the overweight prefabricated part is avoided, and the safety of the overweight prefabricated part in the overturning process is improved.

The invention discloses an improved Transform-based source item inversion method and system and a storage medium, and the method comprises the steps: obtaining a training data set which comprises a plurality of groups of training samples, and each group of training samples comprises source item data, gamma dose rate time sequence data and corresponding meteorological data; performing Gamma angle field conversion on the gamma dose rate time sequence data, and performing normalization processing on the meteorological data; constructing a source item inversion model, the input data of the source item inversion model being gamma dose rate time sequence data and corresponding meteorological data, and the output data being source item data obtained by inversion; processing the dose rate shallow layer features through a self-attention sub-network to obtain dose rate deep layer features; fusing the dose rate deep layer features and the meteorological shallow layer features through a feature fusion sub-network, and inputting the fused features into a second multi-layer perceptron for training to obtain a source item inversion model; and carrying out source item inversion by adopting the source item inversion model.

The invention relates to an intelligent constellation analysis system construction method, inversion method and device, and the method comprises the steps: carrying out the cross correction and time-space seamless filling of brightness temperature data of a target region, and obtaining a time-space consistent reference brightness temperature data set; extracting brightness temperature data corresponding to each sub-region from the reference brightness temperature data set, and screening out an optimal brightness temperature combination input set suitable for each sub-region; inputting the optimal brightness temperature combination input set of each sub-region into a plurality of snow water equivalent inversion algorithms, and determining a precision index of each snow water equivalent inversion algorithm; and sorting all the snow water equivalent inversion algorithms corresponding to each sub-region according to the precision index to form an optimal snow water equivalent inversion algorithm recommendation sequence of each sub-region, and constructing an intelligent constellation analysis system according to the optimal snow water equivalent inversion algorithm recommendation sequence of each sub-region. Therefore, a series of problems from data consistency to algorithm applicability are solved, and the precision of snow water equivalent inversion is remarkably improved.