7 results about "Shear line" patented technology

The present invention belongs to the technical field of strip shape monitoring and visual analysis, and discloses a method and system for measuring the double-sided contour of medium-thick stainless steel plates. Step S1: Complete the calibration of the double linear array cameras to obtain the images of the upper and lower surfaces of the medium-thick plate; Step S2: Perform binocular stereo vision three-dimensional reconstruction to generate a point cloud map and convert it to be displayed in the same coordinate system; Step S3: Eliminate the lateral rotation and offset according to the fitting of the center lines and plane fitting of the point clouds on the upper and lower surfaces of the medium-thick plate; Step S4: Compare the geometric relationships between the point clouds on the upper and lower surfaces to quantify the local vibration and thickness change, correct the vibration error, and obtain the thickness of the medium-thick plate; Step S5: Extract the edge point set from the point cloud map to obtain the overall contour of the medium-thick plate, and obtain the shear line position based on the detection of the width and edge linearity of the medium-thick plate. By adopting the technical solution of the present invention, the overall contour, overall thickness distribution and accurate shear position of the medium-thick plate can be obtained.

The application discloses a weak weather forcing heavy precipitation event objective identification method based on visual information, and comprises the following steps: obtaining data and visual information thereof, analyzing and utilizing the information to exclude the influence area of strong weather systems such as tropical cyclones, vortices, shear lines and fronts; further determining the area and time affected by the weak weather forcing in the research area, and identifying the corresponding heavy precipitation event; the application effectively continues the traditional prediction experience, and provides support for the mechanism research and prediction technology development of the weak weather forcing heavy precipitation event.

A method and system for identifying and tracking a shear line of a high-impact weather event for a power grid. The method comprises: acquiring high-impact weather event data, screening for weather event data containing shear line features, and manually labeling the position of a shear line; extracting initial meteorological variables, and constructing a shear line identification model by designing an autoencoder and an adversarial network; and training the model, and analyzing and evaluating the performance of the model to optimize the model. In the present invention, the spatial position and intensity change features of the shear line in the whole process of the high-impact weather event are systematically analyzed, thereby optimizing the early warning and coping strategy of the power grid, and improving the stability and risk resistance of the power grid.

The invention discloses a visual information-based weak weather forced heavy rainfall event objective identification method, which comprises the following steps of: acquiring data and visual information thereof, analyzing and utilizing the information to eliminate influence areas of a strong weather system, such as tropical cyclones, vortexes, tangent lines and frontal surfaces; further determining areas and time which are forced to be influenced by weak weather in the research area, and identifying corresponding heavy rainfall events; according to the method, traditional forecasting experience is effectively continued, and meanwhile support is provided for mechanism research and forecasting technology development of forced heavy rainfall events in weak weather.

This invention discloses a wind shear recognition method and system based on edge detection, belonging to the field of radar detection technology. The method includes obtaining the speed region to be identified through wind speed quality control; separating speed difference blocks as effective wind speed recognition areas; converting these blocks into grayscale images for preprocessing; extracting wind shear textures of different intensity levels; connecting broken wind shear textures and filtering those with lengths less than a preset threshold; extracting the adjacency relationship of adjacent effective wind speed recognition areas; constructing a boundary model and calculating the boundary length of adjacent effective wind speed recognition areas; removing the boundaries of adjacent effective wind speed recognition areas with boundary lengths less than a preset threshold; selecting the boundaries of adjacent effective wind speed recognition areas as shear lines based on linear fitting and a preset shear line criterion; and superimposing these boundaries onto the radar speed product image to form a visual warning map. This invention solves the problems of insufficient data accuracy, algorithm limitations, and environmental interference currently faced in wind shear recognition.

This invention discloses a method and system for wind shear line identification and movement path prediction based on two-dimensional wind vectors, belonging to the field of lidar meteorological detection technology. The method includes using a variational algorithm to invert radial wind speed data into two-dimensional horizontal wind vector field data; setting an orthogonal vector detection window to calculate the two-dimensional composite vector difference to filter vector shear feature segments; extracting the core points of vector abrupt changes to reconstruct the wind shear line to construct a comparison area; and determining the dynamic guidance zone driving the movement of each local shear line segment based on the two-dimensional horizontal wind vector field data within the comparison area. The spatial displacement vector is determined based on the average two-dimensional wind vector of the corresponding area of ​​the dynamic guidance zone, and the corresponding local shear line segments are translated, extrapolated, and spliced ​​based on the spatial displacement vector to output the future movement path trajectory of the wind shear line. This invention solves the problems of easy missed detection in one-dimensional radial detection and failure of wind shear line identification and movement path prediction in radar blind zones in traditional methods.

The invention relates to the technical field of meteorological early warning, in particular to a severe convection weather early warning method based on lightning distribution and radar echo evolution, which comprises the following steps: synchronously processing the combined reflectivity of a radar puzzle, vertical integral liquid water content data and lightning distribution data, and carrying out movement direction lag compensation on the lightning data; identifying radar echo evolution modes of three types of hail systems: a mesoscale cloud cluster is evolved into a cold front echo band, a southwest inverted trough short band is evolved into a cold front echo band, and a 850hPa shear line triggers a multi-line echo band; and starting corresponding disaster early warning based on the evolution mode. The accuracy is improved, and the hail recognition accuracy can be improved through double criteria of CR / VIL double threshold values and lightning polarity evolution; three types of evolution modes are distinguished, and false alarm of heavy rainfall is reduced. Timeliness breaks through that early warning in the evolution stage of a cold front echo zone is advanced, a shear line system recognizes an arch-shaped echo structure, and a 30-minute response window is reserved for artificial hail suppression.