8 results about "River ice" patented technology

The invention discloses a simplified test natural river ice section flow calculation method, which belongs to the technical field of hydrological test, and comprises the following steps: dividing a section into a plurality of strip units; calculating the effective water depth of each measuring point according to the water depth and the water immersion ice thickness of the measuring point corresponding to each strip unit; calculating the area of each strip unit according to the effective water depth at each measuring point; according to the area of each strip unit, the accumulated section area and the accumulated hydraulic radius from the left bank and the right bank of the section to the strip units are calculated respectively; according to the accumulated section area and the accumulated hydraulic radius from the left bank and the right bank of the section to the strip unit, the relative unit width flow of the sections on the left side and the right side of the strip unit is calculated, and then the comprehensive relative unit width flow of the strip unit is calculated; and calculating the total flow of the section according to the proportional relation between the comprehensive relative unit width flow and the actual unit width flow of the strip unit. According to the method, the full-section flow can be reversely deduced through a small amount of observation, so that the ice period flow testing process is simplified.

The invention relates to a riverway ice condition identification method based on optics-SAR fusion and adaptive segmentation, and belongs to the technical field of remote sensing image processing and application. Riverway ice condition features are extracted from the optical remote sensing image, and a Ka-SAR feature map is extracted from the Ka-SAR image by adopting an improved high-resolution network; carrying out multi-modal and multi-scale feature fusion on the extracted features, carrying out scale specificity feature extraction by adopting a Gaussian pyramid, and then carrying out weighted fusion on the river ice condition features and the Ka-SAR features on each scale based on a scale specificity weight distribution principle; aggregating the multi-scale fusion features into a final fusion feature map by adopting a bottom-up pyramid reconstruction strategy; improved Kuan filtering is used to optimize the fused feature map, and adaptive threshold segmentation is used to realize ice surface and non-ice surface binary classification in the feature map. The method can achieve the precise segmentation of the ice condition region, and improves the recognition precision of the thin ice region.

The application discloses a kind of river ice surface area and flow velocity calculation method based on shore-based fixed camera, the field model of single monitoring camera fixed on river is constructed, the mapping relationship of image pixel coordinates and actual physical coordinates of river is established, the goal of converting video pixel distance to actual physical distance is realized;Combined with the semantic segmentation result of ice image collected by the camera, the accurate quantitative calculation of the actual area of river ice surface and the ice coverage index is realized, the technical problems that unmanned aerial vehicle, remote sensing image and other technologies cannot continuously and accurately monitor are solved, the equipment cost and deployment difficulty are reduced, and long-term real-time accurate monitoring of river ice conditions is realized.

The invention discloses a river dynamic ice condition extraction method combining spectral information and a temperature time sequence, which comprises the steps of delimiting a river channel range based on a multi-source image by utilizing spectral indexes and topographic features and combining a random forest model and an SNIC segmentation method; in the extracted river mask, the surface temperature is inversed through a thermal infrared band, a statistical single-window model and a harmonic analysis method are utilized, a daily scale LST time sequence is generated in a combined mode, freezing and ablation time periods are determined with 0 DEG C as a threshold value, and the river ice duration time is calculated; identifying the types of ice, snow, water and cloud by adopting an optimized random forest classifier through multispectral features in a river ice period; and by utilizing a temperature constrained ice classification and denoising model, integrating LST constraint and classification results, performing interpolation of cloud pollution pixels, and generating a river ice and accumulated snow coverage product with a spatial resolution of 30 meters. According to the method, river ice monitoring of a continuous time sequence is realized, and the space-time characterization capability of dynamic change of river ice is greatly improved.

The utility model relates to the technical field of river ice treatment, and discloses a river ice monitoring and icebreaking treatment device which comprises a top plate, a lifting plate and a lifting mechanism, the upper surface of the top plate is fixedly connected with a mounting seat, and the mounting seat is fixedly arranged below a bridge floor; the lifting mechanism is arranged on the lower surface of the top plate, connected with the lifting plate and used for controlling the height of the lifting plate, rotating rods are arranged on the two sides of the lifting plate, and connecting chains are fixedly connected to the bottoms of the rotating rods. Through cooperative arrangement of the top plate, the lifting plate and the lifting mechanism, the height of the lifting plate can be adjusted by adjusting the height of the lifting mechanism in use so as to adapt to the height of the river water level in different periods, and the lifting mechanism is further matched with the mounting hole formed in the lifting plate so as to adjust the height of the lifting plate. Corresponding detection equipment such as a flow meter and an ultrasonic thickness gauge can be used.

This invention provides a method and system for inverting river ice thickness based on multiple polarization parameters and texture information. The inversion method includes: acquiring polarization data from a synthetic aperture radar and measured information of a preset area; determining first processed image information and first feature information including polarization parameter information and texture information based on the polarization data; determining pseudo-color image information and establishing a correspondence between the pseudo-color image information and the measured information based on the first processed image information; determining river ice classification information using the pseudo-color image information; determining the average river ice thickness information of the same river ice classification information within the preset area based on the measured information, the first processed image information, and the first feature information; determining an empirical model for river ice thickness based on the average river ice thickness information and the first feature information; and inverting the river ice thickness based on the empirical model and the first feature information. This method enables the inversion of river ice thickness corresponding to different river ice types using multiple parameters, improving the accuracy of the inversion.

The invention relates to the technical field of river ice column collection, and discloses a special device for collecting seasonal frozen river ice columns and performing layered cutting, which comprises a main body capable of walking and positioning on the surface of a river ice layer; the cylinder is arranged at the front end of the body; the icebreaking mechanism is provided with a barrel-shaped drill bit and is used for downwards drilling into a river ice layer and forming an ice column sample and a reserved section; the cut-off mechanism is provided with a heating probe assembly and a liquid nitrogen conveying assembly, the heating probe assembly can be inserted from outside to inside and heat the reserved section, and the liquid nitrogen conveying assembly can output liquid nitrogen spray to the reserved section. A cylindrical drill bit is used for drilling a river ice layer to form an ice column sample and a reserved section, a heating probe assembly is inserted from outside to inside and heats the reserved section, so that the reserved section is locally heated to form thermal expansion stress, then the temperature of the reserved section is instantly reduced through liquid nitrogen spraying, the area is instantly contracted, reverse thermal stress is formed, and the reverse thermal stress is formed. And the ice column is spontaneously broken at the reserved section.

This invention discloses a method and apparatus for calculating the inundation range of spring floods considering river ice conditions. The method includes: generating a frozen zone boundary line based on the river centerline and remote sensing image data of the river during the freezing period; and elevation data of topographic points along the river during the freezing period; constructing a two-dimensional hydrodynamic model of the river based on the elevation data of the topographic points and the frozen zone boundary line, and calculating the inundation range. This invention acquires topographic data under freezing conditions and combines it with remote sensing technology to obtain a large-scale, high-frequency understanding of the river's ice-covered area; it uses a two-dimensional hydrodynamic model for calculation to achieve real-time perception of the spatial distribution of the ice cover, reflecting the dynamic compression effect of ice on the river's cross-section; and it distinguishes between ice-covered and non-ice-covered areas through hydrodynamic model parameters, avoiding large deviations in the model's prediction of water level rise and inundation range, which would otherwise fail to provide reliable support for flood control emergency decision-making.