7 results about "Grid generator" patented technology

The invention discloses a self-adaptive spatial transformation network for cross-medium optical distortion, and solves the problem that the existing spatial transformation network is difficult to consider both global transformation and local nonlinear optical distortion. The network is integrated in a target detection model, and the method comprises the steps that firstly, a parameter prediction network synchronously outputs affine transformation parameters and a water surface fluctuation physical parameter diagram; then, the local distortion grid generation network generates a distortion sampling grid based on the parameter diagram and a predefined water surface fluctuation physical model; meanwhile, the grid generator generates an affine sampling grid according to the affine transformation parameters; then, a grid fusion device fuses the two grids to generate a final sampling grid; and finally, the sampler samples the input image or the feature map according to the final sampling grid to obtain an output image or a feature map. Through a space transformation mechanism guided by physical prior, optical distortion caused by water surface fluctuation can be effectively relieved, and the accuracy and robustness of a target detection model in a cross-medium underwater scene are remarkably improved.

The present application relates to the technical field of oscillation disturbance source hierarchical positioning, and particularly relates to a wide-frequency oscillation disturbance source hierarchical positioning method based on compressed sensing and ISTA, which comprises collecting power of a power grid generator of a system, and storing the power of the generator as a time series; extracting a typical oscillation characteristic sub-sequence based on the time series to detect a state of the system, and obtaining a criterion result; sub-sampling the time series based on a compressed sensing technology to obtain a compressed signal; inputting the compressed signal and the criterion result into a disturbance area positioning network to output a disturbance area unit number; inputting the disturbance area unit number into an ISTA restoration network for restoration to obtain an oscillation restoration signal; inputting the oscillation restoration signal into a disturbance source positioning network for positioning to obtain a wide-frequency oscillation disturbance source unit number, which realizes accurate positioning of the oscillation disturbance source and solves the problem of low accuracy of existing wide-frequency oscillation disturbance source positioning methods in positioning tasks.

The application discloses a scene preprocessing method for fire simulation, and relates to the technical field of building fire simulation, comprising the following steps: calculating three-dimensional thermal power weight by using a fire spread dynamics model, and generating a thermal map of a fire danger area; extracting a main diffusion direction of the fire and each axial anisotropy parameter by using a tensor field generation algorithm, and generating fire grid parameters; constructing a hexahedral leading grid by using a hybrid grid generator, increasing the grid density of the fire danger area, and obtaining an optimized hybrid grid of the fire; and checking the Reynolds number and matching the boundary layer of the optimized hybrid grid of the fire by using a fire feature self-adaptive algorithm, and iteratively correcting to generate a fire simulation correction grid; by using the hybrid grid generator, the application realizes self-adaptive distribution and smooth connection of the grid density of the fire danger area, so that the grid distribution of the fire danger area is accurately matched with the fire spread characteristics.

The application discloses a method for predicting the distribution of grid nodes of boundary lines of aircraft components and anisotropy parameters, relates to the field of automation and intellectualization of pre-processing of computational fluid dynamics simulation, and determines the geometric data of an aircraft CAD model, component semantic labels, calculation working conditions and each boundary line. A trained multi-task graph neural network model is used to intelligently classify the grid region types of the boundary lines, and isotropic or anisotropic classification results are obtained. Then, according to the classification results, the corresponding differential parameter prediction sub-network in the model is used to predict the corresponding grid control parameter set for each boundary line. Finally, based on the parameter set, a grid generator is driven to automatically generate high-quality surface grids. The application realizes intelligent decision-making of the whole process from semantic information to grid generation strategy and parameters, replaces the traditional method relying on artificial experience, and significantly improves the automation degree, efficiency and grid quality consistency of CFD pre-processing.

The invention discloses movable intelligent frequency conversion control equipment, belongs to the technical field of power electronic equipment, and aims to solve the problems that a traditional frequency converter is difficult to move in temporary scenes such as outdoor first-aid repair, mobile operation and emergency rescue, cannot quickly adapt to an unstable power supply, and is low in field deployment efficiency and poor in environmental adaptability. The equipment comprises a modular mobile carrier, a multi-source power supply adaptive system, a quick connection and protection unit and a lightweight heat dissipation structure. The modularized mobile carrier adopts a light alloy frame with universal wheels and a foldable handrail, so that the modularized mobile carrier can be conveniently moved by a single person; the multi-source power supply adaptive system supports three modes of a power grid, a generator and a built-in energy storage power supply, and can realize seamless automatic switching less than or equal to 0.5 second; the output end is provided with a waterproof quick-plug connector and multiple electrical protection modules, so that quick connection and safety protection can be realized; the overall weight is less than or equal to 30 kg, and efficient heat dissipation is achieved through the hollowed-out shell and the temperature control fan.