6results about How to "Heavy calculation" patented technology

The invention discloses a post-pond transplanting ridge searching navigation line identification method based on circularity and edge pixel point jump, and belongs to the technical field of ridge culture agriculture visual identification. The method comprises the steps of image acquisition, image boundary smoothing processing, color conversion, threshold segmentation, denoising processing, edge detection, midpoint extraction and navigation line fitting. A depth camera is used for obtaining a depth image, then a traditional RGB image is converted into an HSV image to reduce the influence of an illumination condition on furrow recognition, an H component is used for carrying out next-step processing, threshold segmentation is carried out to obtain a binarized image, a morphological denoising method and an area threshold method are used for removing most noise interference in the image, and the image recognition accuracy is improved. The method comprises the following steps: firstly, performing depth denoising on an image based on circularity calculation, extracting a ridge pit boundary by utilizing edge pixel point jump, then solving a midpoint coordinate point of an image pixel by utilizing abscissas of two boundary points of a ridge pit, and finally realizing navigation line fitting of the ridge pit by utilizing the point coordinates and utilizing a least square method.

The application discloses a kind of calculation methods for simulating toxic and harmful gas diffusion concentration in three-dimensional virtual training environment, S1, determine toxic gas diffusion effective influencing factor;S2, the physical model corresponding to training environment is constructed, and the effective influencing factor of gas diffusion is derived;S3, according to gas toxic dose and shelter size, sparse grid is divided, and grid density is distinguished;S4, CFD model is constructed, and the concentration of simulated harmful gas diffusion is calculated;S5, concentration value time sequence situation result offline database of a period of time is established, and gas concentration situation result is stored;S6, when training, in virtual environment, quickly display.The method of the present application can consider terrain, building, meteorological conditions and other factors affecting gas concentration diffusion, can measure the gas diffusion concentration value of any point in space in real time, and its diffusion concentration value is realistic and practical, so that the simulation effect of harmful gas diffusion concentration value in virtual reality chemical hazard simulation training environment is more realistic and credible, and the training effect is improved.

This application discloses a method and system for measuring operating condition information for vehicle energy management control. The method includes: determining the type of operating condition information; quantifying the uncertainty of static information using empirical entropy if the information is static; and measuring the information content of static information by reducing the entropy of empirical entropy; and quantifying the uncertainty of dynamic information using information entropy if the information is dynamic; and measuring the information content of dynamic information by reducing the entropy of information entropy. According to this method for measuring operating condition information for vehicle energy management control, by classifying the operating condition information and measuring static and dynamic information using empirical entropy and information entropy respectively, the operating condition information can be measured in a standardized manner.

The application provides a driver output current detection method, which comprises the following steps: recording data and calculating average value and waveform sinusoidal degree according to the above method after the system reaches steady state; if the difference between the calculation result of the measured driver output current and the reference data of the detection equipment is within a reasonable range, the test is qualified, otherwise the test is unqualified. The application adopts a phase-locked loop method to determine the current zero-crossing point, and adopts an equivalent approximate method to measure the harmonic distortion rate and compare the transient error of the reference waveform to judge the waveform sinusoidal degree, so that the calculation efficiency and accuracy are improved from the above aspects.

This invention belongs to the field of path planning, specifically relating to a method for obtaining the shortest path between nodes. The method first obtains the sets of cut vertices on the original graph through several traversals, and then maps the cut vertex set subgraphs corresponding to these sets of cut vertices into a high-level tree of nodes. Preprocessing and parallel shortest path queries are then performed using the high-level tree with the cut vertex set subgraphs as the smallest unit, thereby obtaining the overall shortest path. This method transforms the shortest path analysis for a large number of nodes in a topologically complex original graph into a shortest path analysis for cut vertex sets. It eliminates a large number of useless nodes when obtaining the shortest path, saving related calculations and reducing computational load, thus improving the speed of shortest path acquisition. Furthermore, preprocessing is performed on the subgraphs formed by cut vertex sets, avoiding the computationally cumbersome problem of directly obtaining the shortest path for complex topological structures of large subgraphs.

The invention discloses an ISAR (Inverse Synthetic Aperture Radar) range envelope alignment method and system based on phase difference, and belongs to the technical field of radars. The method comprises the following steps: sampling echo signals after pulse compression one by one, estimating and compensating adjacent sampling average phase change; partitioning azimuth signals in a distance frequency domain, respectively adding rectangular windows by taking zero frequency as a boundary, and sampling in each azimuth to generate an upper sideband signal and a lower sideband signal; performing three-time conjugate multiplication on four adjacent sampled signals to obtain a differential signal; obtaining an adjacent offset through maximum likelihood estimation by using the differential signal; aligning the adjacent envelopes according to an estimation result; and after the aligned envelopes are accumulated, the steps are repeated for recursion with the next sample, and finally, envelope alignment of all the samples is completed. According to the method, the sub-pixel-level distance envelope alignment precision can be realized without up-sampling and interpolation operations, and the problem of echo generation caused by amplitude modulation in a traditional amplitude dependent algorithm is effectively avoided.