5results about How to "Easy access to data" patented technology

The invention relates to the field of shallow sea water depth inversion methods, and discloses a shallow sea water depth remote sensing inversion method and system based on sea surface wave characteristics, and the method comprises the steps: carrying out the preprocessing of an optical remote sensing image, and obtaining a preprocessed optical remote sensing image; performing spectral analysis on the preprocessed optical remote sensing image by adopting fast Fourier transform to obtain energy distribution and spectral concentration ratios corresponding to different wave numbers; constructing a frequency spectrum energy weighting mechanism according to the energy distribution and the spectrum concentration ratio corresponding to different wave numbers, and calculating a frequency spectrum energy weighting wavelength index; and combining the frequency spectrum energy weighted wavelength index with a known water depth sample point, establishing a frequency spectrum energy weighted wavelength dominant water depth inversion model, and performing shallow sea water depth inversion by using the water depth inversion model. According to the spectrum energy weighted wavelength index, the overall characteristic of energy distribution and the spectrum concentration degree difference are comprehensively considered in the spectrum space, and robust estimation of the dominant wave scale is achieved.

This application provides a method, apparatus, and equipment for predicting the impact of marsh vegetation change on land surface temperature, belonging to the field of ecological remote sensing and climate effect assessment technology. Based on long-term series leaf area index, land surface temperature, digital elevation model, and marsh wetland distribution data, it first determines the vegetation pixel distribution as the study area within the unchanged marsh wetland distribution range; it then constructs annual and multi-year average growing season datasets using the maximum value synthesis and arithmetic mean methods; within the grid cells, pixels are divided into high and low value groups based on the multi-year average growing season leaf area index, and the difference between the multi-year average growing season leaf area index and the average land surface temperature of all pixels in the high and low value groups is calculated to quantify the degree of land surface temperature change caused by marsh wetland vegetation cover change; finally, by combining the vegetation change trend at the pixel scale, it achieves accurate prediction of the future impact on land surface temperature.

The invention discloses a battery lithium precipitation online detection method and device based on current excitation, and the method comprises the steps: taking short-time controllable small current excitation as a core, carrying out the charging test of a target battery based on an original charging protocol, setting an excitation current based on the internal resistance of the target battery, and carrying out the detection of the lithium precipitation of the battery. The method comprises the following steps: monitoring voltage and temperature changes and equivalent impedance caused by excitation current at different excitation times, and judging whether a lithium precipitation starting point and lithium precipitation are carried out or not by combining voltage abrupt change and the change trend of the equivalent impedance along with the state of charge / time / charging capacity, and determining whether lithium precipitation is carried out or not based on the corresponding voltage abrupt change and equivalent impedance at different excitation times. And screening the optimal excitation time by combining the curve smoothness and the lithium precipitation starting point change rate. According to the method, the charging protocol and steps of the target battery are not changed, the superposed current excitation is small, the time is short, the influence on the total charging time is small, the influence on the original charging process is small, the starting point synchronism and consistency of the corresponding lithium precipitation detection are high, and the method is clearly compared with other methods depending on charging pulse shelving.

The application provides a metal plate bending fatigue test device, relates to the technical field of bending fatigue test auxiliary, and comprises a gantry, a test device support, a test pressure applying assembly and two bearing assemblies, the test pressure applying assembly comprises a hydraulic push rod, a T-shaped plate, a rotary air cylinder, an adjustable pressure applying piece and a roller assembly; the two bearing assemblies each comprise a supporting round rod, a cross rod seat and a vertical plate seat, two round rollers are arranged between the two supporting round rods, and the two ends of the two round rollers are each provided with a ratchet wheel assembly; the technical key points are that the adjustable pressure applying piece and the roller assembly are driven by the T-shaped plate to move to the bottom through the hydraulic push rod, the adjustable pressure applying piece drives the roller assembly to rotate through the rotary air cylinder, the sample plate is supported by the supporting round rod and the round roller, pressure is applied when the roller assembly rolls at the center of the top of the sample plate, the bending angle of the sample plate is expanded, data acquisition during subsequent sample fatigue test is facilitated, and basic requirements of simulation working conditions are provided.

The application belongs to the field of unmanned aerial vehicle remote sensing, satellite remote sensing and photogrammetry, and discloses a method for cross-view registration and positioning of unmanned aerial vehicle aerial image based on instance matching, which comprises the following steps: step S1, target entity of a building is extracted through instance segmentation; step S2, geometric center coarse registration is used to determine instance correspondence; step S3, point matching network is used to refine and extract the top center of the instance; step S4, ground position inversion and accurate homography matrix solving; and step S5, geographic coordinate calculation. The method for cross-view registration and positioning of unmanned aerial vehicle aerial image based on instance matching is adopted, and through the complete process of instance segmentation, coarse registration and correspondence determination, top center refinement, ground inversion and accurate homography solving, and geographic coordinate calculation, various errors can be effectively eliminated, and high-precision registration and positioning of unmanned aerial vehicle non-orthographic images can be realized.