203 results about "Latitude" patented technology

A drifting buoy trajectory prediction method based on a hybrid neural network prediction model, includes: S1, obtaining marine environmental data and historical trajectory data of a drifting buoy; S2, performing preprocessing on the marine environmental data and the historical trajectory data to obtain input data configured to predict northward and an eastward velocities of the drifting buoy; S3, inputting the input data into the hybrid neural network prediction model to obtain predicted values of the northward and eastward velocities; S4, calculating latitude and longitude coordinates of a trajectory point of the drifting buoy based on the predicted values of the eastward and northward velocities; and S5, predicting, by repeating the step S1-S4, latitude and longitude coordinates of trajectory points of the drifting buoy at multiple time points to obtain a sequence of trajectory point coordinates to thereby achieve trajectory prediction of the drifting buoy over a target future period.

The invention relates to the technical field of satellite height measurement, and discloses a GNSS-R ocean plumb line deviation calculation method, device and equipment and a storage medium. The method comprises the following steps: acquiring a height measurement result, a geoid height and an average dynamic terrain of each GNSS-R mirror reflection point in an ocean area, and calculating a residual geoid height; dividing a global geographic area according to a longitude and latitude target interval to generate a target grid; for any lattice point in the target grid, screening a plurality of GNSS-R mirror reflection points around the lattice point as target points; and determining the weight of the residual geoid height of each target point based on the GNSS-R height measurement precision table, calculating the residual geoid height of the network point through weighted average, and further calculating the corresponding ocean plumb line deviation. By adopting the method, the global ocean plumb line deviation can be quickly calculated based on the GNSS-R sea surface height measurement result, and the accuracy of ocean plumb line deviation calculation is improved.

The invention discloses an LED spherical display screen-oriented geographic data dynamic adaptive display method, which comprises the following steps of: constructing a non-uniform grid mapping model based on LED spherical screen physical parameters (diameter, support structure cavity size and pixel row / column spacing); the method comprises the following steps: accurately mapping geographic data (converted into longitude and latitude coordinates in advance) from a longitude and latitude coordinate system to a spherical screen pixel space, and carrying out resampling adaptation on the data based on the resolution of a display; meanwhile, a quaternion rotation transformation algorithm and a dynamic mask technology are adopted, the shielding area of the supporting structure of the LED spherical screen is calculated in real time, invisible data are automatically cut in the three-dimensional rotation process, and the problems of coordinate mapping distortion, rotation tearing and shielding area adaptation delay existing in a traditional LED spherical display system are solved. According to the method, the sub-pixel-level mapping precision of the geographic data on the LED spherical screen and the self-adaptive shielding compensation response of real-time rotation are realized.

The invention discloses an ecological environment big data processing method based on mining area pollutant migration behavior modeling, and relates to the technical field of big data processing. Comprising the steps that protection points in a target range and geodetic coordinate values of a mining area are obtained, the protection points comprise a mass residential area, an ecological protection area and a water source protection area, and the geodetic coordinate values are used for representing latitude and longitude coordinates and the altitude; and according to the first group of geodetic coordinate values and the geodetic coordinate values of the mining area, the maximum diffusion range interval of the mining area pollutants is determined, and the first group of geodetic coordinate values specifically refer to the geodetic coordinate values taken by any protection point type. According to the method, the three-dimensional geodetic coordinates of the protection point and the mining area are obtained, the pollutant diffusion range is scientifically defined, it is ensured that the space coverage of pollution monitoring is comprehensive and effective, potential threats of mining area pollution to surrounding people residential areas, ecological protection areas and water source protection areas can be accurately recognized, and the risk of mining area pollution to the surrounding people residential areas, ecological protection areas and water source protection areas is reduced. And the accuracy and pertinence of environmental risk assessment are improved.

The invention discloses a dual-radar three-dimensional wind field inversion method considering standard atmospheric influence under an earth coordinate system, which comprises the following steps of: firstly, converting polar coordinates of radial observation of radars into latitude and longitude grid coordinates, and then converting an inversion grid target point from the latitude and longitude grid coordinates to the earth coordinate system; obtaining position coordinates of the inversion grid target point and the two radars in an earth coordinate system; and finally, performing double-radar wind field inversion considering the standard atmospheric influence under the earth coordinate system, considering the influence of the standard atmospheric influence on the inversion grid target point three-dimensional wind field on the radial speed projection in the inversion wind field iteration equation set, and meanwhile, considering the influence of the density change on the mass continuity equation under the standard atmospheric influence condition. Therefore, accurate calculation of double-radar three-dimensional wind field inversion is realized, and accurate and reliable three-dimensional wind field inversion information is obtained. Based on the method of the invention, accurate calculation of dual-radar three-dimensional wind field inversion can be realized, and accurate and reliable wind field information values can be obtained.

The invention provides a three-dimensional positioning method and system for a satellite-borne multi-base radar system based on weighted linear iteration, and the method comprises the steps: obtaining radar echo data of a plurality of receivers, carrying out the effective detection of a target, and carrying out the searching of a pitch angle and a space taper angle of a target signal through a two-dimensional adaptive filtering technology, obtaining two-dimensional angle estimation information of the target at different bases and different visual angles; constructing a nonlinear equation set according to two-dimensional angle information and slope distance information of the target under different visual angles, and performing first-order Taylor expansion on the nonlinear equation set to obtain a corresponding linear overdetermined equation set; and forming a precision matrix according to the known measurement precision of the radar system, and carrying out normalization operation and iterative solution on the linear overdetermined equation to obtain the three-dimensional coordinate of the target in the earth-centered earth-fixed coordinate system, thereby obtaining the latitude, longitude and height information of the target, and realizing the high-precision three-dimensional positioning of the multi-static radar system.

The invention relates to a location recommendation method based on longitude and latitude perception and federated learning, which breaks through the limitation of semantic flattening of traditional geographical representation by decoupling independent self-attention coding of longitude and latitude sequences and explicitly capturing directional movement characteristics of a user. A federal dynamic clustering mechanism based on a behavior pattern is further designed, compatibility fusion of heterogeneous knowledge is achieved, the problems of gradient conflicts and long tail marginalization caused by spatial isomerism are effectively relieved, and therefore the problem of spatial heterogeneity in POI recommendation is solved, and the relevance and accuracy of recommendation are improved.

The invention discloses a remote sensing image cloud type inversion model and system based on symmetric cross attention. The method comprises the following steps: acquiring satellite remote sensing image data, and extracting cloud spectrum, texture and shape features after processing; performing feature coding on longitude and latitude coordinates, terrain, underlying surfaces and time elements; constructing a symmetric cross attention module, and bidirectionally fusing the image, the geographic feature and the time feature as channel input; a ClodSat cloud product is used as a truth value, an Adam optimizer and a cross entropy loss function training model are adopted, and verification is carried out through indexes such as a Kappa coefficient and producer precision. The method overcomes the defect that a traditional method only depends on two-dimensional images and does not consider external driving elements, cloud types can be accurately classified, and inversion accuracy and efficiency are improved.

The invention discloses a point location judgment method applied to a visual map rendering technology, and belongs to the technical field of map rendering, in visual map rendering, a target point makes a horizontal ray towards one direction, if the number of intersection points between the ray and a map boundary is an odd number, it is indicated that the point is in a map area, and if the number of intersection points between the ray and the map boundary is not an odd number, it is indicated that the point is in the map area. For a large-scale point location judgment task, a spatial index technology is adopted, and in the method, coordinates of a central point are determined based on four parameter points including a longitude minimum value, a latitude minimum value, a longitude maximum value and a latitude maximum value; the method comprises the following steps: calculating angles between coordinates of a central point and longitude and latitude points of a map boundary according to a trigonometric function formula, storing the angles into longitude and latitude data of each point, obtaining an angle relationship at one time, obtaining the angle data of each point in a production environment, calculating an angle value target theta between the central point and a target point in the same way, and obtaining the angle relationship between the target point and the central point. And the longitude and latitude points are traversed circularly, and only the left and right longitude and latitude points of the target theta are left.

The invention discloses a method for drawing a ship icon in a sea chart based on Canvas. The method comprises the following steps: collecting basic data of a ship; acquiring a ship shape according to the ship state; obtaining the color of the ship shape according to the ship type; converting the longitude and latitude coordinates of the ship position into canvas coordinates; and drawing a ship icon on the sea chart according to the canvas coordinates, the ship shape and the color of the ship shape. According to the method for drawing the ship icon in the nautical chart based on the Canvas, key information such as the type, the speed and the course of the ship is visually reflected on the icon, the visual layering sense of the nautical chart can be enhanced, the ship information can be clear at a glance, and therefore the participation degree and the satisfaction degree of users are greatly improved.

The invention relates to a measurement precision correction method for a digital geological compass. The method comprises the following steps: determining the magnetic field stability of a target position according to the difference between total magnetic field intensities in a first interval; determining a magnetic field interference coefficient at the moment according to a difference value between the total magnetic field intensity at each moment and the total magnetic field intensity at the target moment; determining the integrating degree of the point source model at the previous moment according to the difference between the magnetic field interference coefficients at each adjacent moment and the duration of the interval between each adjacent moment and the initial moment; determining a target duration according to the magnetic field interference coefficient in the second interval and the duration of the interval between each moment and the initial moment, and correcting the magnetic field data of each axis of the compass according to the target duration and the difference between the magnetic field data of each axis at the target moment and the magnetic field data of the axis in the first interval; and carrying out azimuth calibration on the compass according to the corrected magnetic field data of each axis and the longitude and latitude of the target position. The method can improve the accuracy of geological survey.

The invention discloses a construction and inversion method of a sea surface wind speed inversion model based on a dual-frequency wind field radar, the sea surface wind speed inversion model comprises a sea surface wind speed inversion model and a geophysical model function, and scattering measurement data, microwave radiometer data and sea surface wind field data are acquired; taking latitude and longitude and time information of the scattering measurement data as a reference, and respectively carrying out quasi-synchronous matching on the microwave radiometer data and the sea surface wind field data with the scattering measurement data by adopting a space-time matching threshold method to obtain an active and passive data set; on the basis of sea surface radiation and scattering characteristics, a geophysical model function for wind direction inversion and a sea surface wind speed inversion model capable of inhibiting rainfall influence are constructed by utilizing the characteristic that different frequencies have different penetrating power and adopting an active and passive spectrum gradient ratio, and the sea surface wind speed and the sea surface wind direction of a high-wind-speed sea surface can be obtained at the same time; the technical problem that it is difficult to quantitatively measure the sea surface wind speed and the sea surface wind direction of the high-wind-speed sea surface wind field at the same time in the prior art is solved.

The invention belongs to the field of global navigation satellite system (GNSS) data processing, and particularly relates to a real-time cycle slip detection method based on ionosphere variation trend constraint, which comprises the following steps of: firstly, fitting an ionosphere variation trend by using all observation satellite data at the current moment, and selecting a non-geometric combination observation value according to a sliding window; then ionosphere variation trend constraint is applied on the basis of a polynomial function, geomagnetic latitude is used as an independent variable to fit a polynomial coefficient, the ionosphere variation of each satellite observed value at the current moment is forecasted, and then the ionosphere variation and the non-geometric combination are differentiated to obtain ambiguity variation; and finally, a detection threshold is determined through the adaptive expansion factor changing along with latitude, and the ambiguity variation is detected to judge whether cycle slip occurs or not. The method is convenient to calculate, fully considers the change trend of the ionosphere, is suitable for real-time cycle slip detection application, and is more suitable for cycle slip detection application in the ionosphere disturbance period.

The invention provides an ocean data assimilation observation strategy optimization method based on deep learning interpretability, and relates to the field of data processing, and the method comprises the steps: generating a sea-land mask through the geographic sea-land distribution and observation point validity based on pattern grid points; constructing a three-channel input tensor; constructing a network architecture to process input of different sizes in a self-adaptive pooling manner; carrying out model training by adopting a composite loss function; generating a space-time saliency map based on Grad-CAM, fusing multi-time step features through a dynamic aggregation algorithm, and identifying a key dynamic region in combination with ocean gradient and curvature features; in the key power area, K-means clustering is combined with minimum distance constraint, and high-contribution observation points are preferentially selected from all clusters; and outputting longitude and latitude coordinates and contribution value sequences of the plurality of previous optimal observation points. According to the technical scheme, the problems of low observation resource use efficiency and low forecast initial field quality in the prior art are solved.

The invention provides a regional ionosphere modeling method and device, electronic equipment and a storage medium, and belongs to the technical field of satellite navigation positioning, and the method comprises the steps: obtaining the coordinates of a plurality of reference stations in a region, matching the coordinates with a preset threshold value, obtaining the coordinates of reference points, and obtaining the regional ionosphere based on the coordinates of the plurality of reference stations in the region and the coordinates of the reference points. Obtaining a longitude difference value and a latitude difference value between the regional reference station and the reference point, obtaining the coordinate of the target satellite, and obtaining the difference value of the elevation angles of the plurality of reference stations and the reference point observation target satellite based on the coordinate of the target satellite and the coordinates of the plurality of reference stations in the region; and constructing a coefficient matrix based on the difference value of the elevation angle and the longitude difference value and the latitude difference value between the regional reference station and the reference point, and constructing a regional ionosphere model based on the coefficient matrix and the obtained regional ionosphere model coefficient. Due to the fact that the influences of the horizontal gradient and the vertical delay are considered at the same time in the modeling process, the model fitting precision is remarkably improved.

The invention provides an accumulated snow monitoring method and device, a storage medium and electronic equipment, and the method comprises the steps: triggering a snowstorm emergency response task when a target condition is detected, carrying out the projection conversion of weather forecast data, target sensor data, accumulated snow data, a meteorological satellite map and a target text which belong to the same grid at a current time point according to latitude and longitude coordinates, and obtaining a snowstorm emergency response task; the feature vectors corresponding to the grids are obtained, the feature vectors corresponding to the grids are input into the graph neural network, multi-modal feature fusion is carried out according to the spatial adjacency relation between the grids, and the current accumulated snow fusion state corresponding to the target road section in each grid is obtained. The multi-modal feature fusion is carried out according to the spatial adjacency relationship between the grids, so that the final accumulated snow state representation of each grid is fused with the influence of the surrounding environment, the noise is effectively smoothed, the data blank area is filled, and the accuracy of the current accumulated snow fusion state acquisition result corresponding to the target road section in the grid is ensured.

The invention relates to the technical field of geomagnetic navigation, and discloses a vector geomagnetic calibration method and device based on multi-route data alignment, and the method comprises the steps: obtaining a plurality of first latitudes of a first route and a plurality of second latitudes of a second route, and aligning each second latitude with the first latitude, determining a plurality of first field intensity data of the first latitude and a plurality of second field intensity data of the second latitude based on the alignment result; acquiring a plurality of first abnormal field intensity data of the first route based on the first field intensity data, and acquiring a plurality of second abnormal field intensity data of the second route based on the second field intensity data; and obtaining a conversion matrix of the second route based on the first abnormal field intensity data, the second abnormal field intensity data and the second field intensity data, and converting the second field intensity data into calibration field intensity data of the second route according to the conversion matrix. According to the technical scheme provided by multiple embodiments of the invention, strip errors generated when the three-dimensional vector geomagnetic map is constructed can be eliminated.

The invention discloses a cultivated land soil pH estimation method based on multi-source remote sensing and spatial weighting, which comprehensively utilizes multi-source remote sensing environment information such as optics, radar, terrain, weather and the like, constructs multi-source remote sensing environment factor data, and improves response sensitivity to cultivated land soil pH change. A space weighting mechanism is introduced based on latitude and longitude coordinates of each sampling point, so that the adaptability of the model to cultivated land space heterogeneity is enhanced; the weighted random forest model constructed by taking the enhanced feature matrix as the input of the random forest model improves the spatial continuity and prediction precision of the cultivated land soil pH estimation result; the method disclosed by the invention has good universality and expandability, and is suitable for rapidly estimating the pH of the cultivated land soil in multiple regions and multiple scales.

A Klobuchar ionized layer improved model modeling method considering night retardation change characteristics comprises the following steps: introducing ionized layer puncture point data at a plurality of geographic positions at a plurality of historical moments, and extracting statistical values of night ionized layer retardation on different latitude zones by taking day as a unit; constructing a forecasting model of the night ionosphere delay amount, and obtaining night delay amount forecasting parameters on different latitude zones; obtaining coordinates and calculation time of a puncture point of which the ionosphere delay amount needs to be calculated in real time, interpolating a night delay amount forecast parameter on the puncture point, and obtaining a night delay forecast amount on the real-time ionosphere puncture point by using a night ionosphere delay amount forecast model calculation formula; performing weighting processing on the forecast quantity of the night delay quantity and the night constant to obtain the night ionosphere delay quantity which is finally calculated by the ionosphere improved model considering the change characteristics of the night delay quantity; and constructing an ionosphere improved model considering the change of the night delay amount, and obtaining the optimized ionosphere delay calculation amount under the real-time geographic position.

The invention provides an airspace gridding method and device, equipment and a medium, and the method comprises the steps: collecting an airspace boundary geographic data set, taking a horizontal plane at the lowest altitude of a to-be-gridded region as a base surface, determining an airspace boundary based on a boundary contour point geographic coordinate sequence, and carrying out the upward filling of grids based on the base surface, obtaining a gridded three-dimensional airspace and a two-dimensional projection thereof; respectively determining the maximum value point and the minimum value point of the longitude and the latitude to construct a first plane; carrying out gridding on the first plane; and if a plurality of different height values exist, determining the maximum height point, subdividing the airspace between the minimum height point and the maximum height point to obtain second space grids and codes, and screening the second space grids contained in the three-dimensional polygonal region or intersected with the three-dimensional polygonal region. According to the method and the device, the grids and codes of the height dimension between the area bottom plane grids and the boundary contour points are determined, so that the spatial domain is expanded from 2D to 3D grids, and accurate three-dimensional spatial domain gridding is closed.

The invention provides a precise point positioning method, system, equipment and medium in an ocean scene, and belongs to the field of satellite navigation positioning, and the method comprises the steps: obtaining IGS-ZTD data and GGOS-ZTD data of different observation stations on the land, obtaining time sequence daily average deviation value data through calculation, inputting the data into a fitting model, carrying out the spherical harmonic expansion after fitting, and carrying out the precise point positioning. And obtaining a spherical harmonic function deviation model of the land area. Acquiring longitude and latitude of the ocean observation station, performing fitting calculation by using a spherical harmonic function deviation model, and introducing a dynamic order screening mechanism of a monthly scale to obtain a correction deviation value of the ocean observation station in the current month; and fitting ZTD data is obtained according to the correction deviation value. The regional limitation of a GNSS observation station is broken through, and the positioning precision of GGOS-ZTD data in an ocean region is improved by constructing a collaborative correction framework. And applying the fitted ZTD data to precise single-point positioning of an ocean scene to realize high-precision positioning of the measuring points in the ocean area.

The present invention provides an ionospheric TEC prediction model that combines self-attention and self-correlation dual mechanisms, belonging to the technical field of ionospheric delay prediction. The model includes: a trend prediction module, a correlation analysis module, and a sequence fusion module. Among them, the trend prediction module predicts the overall change trends of the ionospheric TEC sequence and the space environment parameters respectively by means of a self-correlation operation mechanism. The correlation analysis module uses the self-attention mechanism to analyze the mutual connections among the ionospheric TEC sequence, the space environment parameters, and the latitude and longitude positions. The sequence fusion module then uses the correlation information obtained by the correlation analysis module to further integrate and optimize the overall trend of the ionospheric TEC sequence, and finally obtains the ionospheric TEC prediction result that fuses the space environment and the latitude and longitude position information. The present invention makes full use of the space environment data and the latitude and longitude position information, greatly improving the accuracy of model prediction.

This invention provides an intelligent pipeline inspection and testing system, comprising a wirelessly connected surveying instrument and a mapping terminal. The surveying instrument includes a laser ranging module, an attitude sensor module, a GPS positioning module, and a processor. The output of the laser ranging module is connected to the first input of the processor to send the measured distance signal to the processor. The output of the attitude sensor module is connected to the second input of the processor to send the measured pitch angle signal and horizontal azimuth angle signal to the processor. The output of the GPS positioning module is connected to the third input of the processor to send the longitude, latitude, and altitude coordinates of the surveying instrument's location to the processor. This invention obtains the three-dimensional coordinates of the pipeline components (longitude, latitude, and altitude) through the GPS positioning module, and combines this with the infrared ranging function of the surveying instrument to obtain the vertical distance of the pipeline from the installation ground, thus achieving clear differentiation of different levels of pipelines in a three-dimensional intersecting pipeline system.

The embodiment of the application discloses a three-dimensional temperature and salinity field inversion method and system based on marine temperature and salinity profile. The method comprises the following steps: obtaining an observation profile file corresponding to an observation point, and extracting key information, the key information comprising longitude, latitude, time and temperature and salinity profile, the temperature and salinity profile comprising temperature profile and salinity profile; loading a pre-trained intelligent reconstruction model; when the observation point is located in a preset modeling area range, searching for a plurality of loaded intelligent reconstruction models closest to the observation point in the modeling area range to obtain an intelligent reconstruction model of a triangular net vertex; calculating data of a marine three-dimensional temperature and salinity field according to the intelligent reconstruction model of the triangular net vertex to obtain three-dimensional body data; calculating a marine three-dimensional temperature and salinity field centered on the observation profile by using an interpolation method combined with the three-dimensional body data; and saving three-dimensional temperature and salinity field data of a target point. By implementing the method of the embodiment of the application, three-dimensional temperature and salinity field reconstruction based on one-dimensional profile data can be realized.

The invention discloses a GIS (Geographic Information System)-based position flow anomaly detection method, equipment and a medium. The method comprises the following steps: after receiving position stream data, gridding the position stream data based on a quadtree grid, and converting latitude and longitude coordinates into decimal numbers; detecting the regional position of the position stream data in the quadtree grid according to the decimal number; in combination with the time window queue, residence time anomaly detection and trajectory deviation anomaly detection are carried out respectively; and finally, sending an abnormal detection result to an early warning center. According to the method, the GeoSOT grid coding technology is adopted, the traditional complex space geometric operation is simplified into numerical value comparison, and the dynamic sliding time window is combined to carry out lightweight processing on the grid trajectory data, so that the calculation amount is greatly reduced, the problem of insufficient real-time performance of the traditional method is effectively solved, and the quick response detection of the position flow anomaly is realized.

The invention provides a GNSS global ZTD correction method and device considering anisotropy, and the method comprises the steps: dividing the whole world into regular windows with the same size according to a mesh generation algorithm, and obtaining a correction model training sample through a Panguu-Weather numerical weather forecast system; constructing a zenith troposphere delay correction model taking anisotropy into consideration by adopting a BP neural network, taking an annual day, the height, the latitude and the longitude of the current position, the zenith troposphere delay and the height, the latitude and the longitude of the target position as input layer data, and taking the zenith troposphere delay of the target position as output layer data; based on the zenith troposphere delay correction model considering anisotropy, a user can obtain correction information of zenith troposphere delay only by providing the annual day, the height and longitude and latitude of the current position, zenith troposphere delay and the height and longitude and latitude of the target position and retrieving the corresponding model, and the precision of GNSS meteorological monitoring and environment monitoring is improved.

This application discloses a method, system, and controller for predicting flight routes. The method includes dividing each segment of the flight route to be predicted into multiple sub-segments and obtaining the starting coordinates of each sub-segment; obtaining a weather forecast dataset based on the combined reflectance of various latitude and longitude grid points within a preset area; the preset area includes the area covered by the flight route; traversing each sub-segment of the flight route to be predicted according to the following method: obtaining a preset range centered on the starting point of the sub-segment; obtaining the percentage of latitude and longitude grid points within the preset range whose combined reflectance is greater than a combined reflectance threshold based on the weather forecast dataset; if the percentage is less than or equal to a first percentage threshold, the sub-segment does not need to be rerouted; if the percentage is greater than the first percentage threshold, the sub-segment needs to be rerouted. The flight route prediction method provided in this application can improve the objectivity, accuracy, and reliability of flight route prediction results.

This invention discloses a method for interpolating the topographic elevation of mountain rivers based on sparse river cross-section elevation data. The method includes the following steps: Step 1, acquiring basic data of the target river and preprocessing it; Step 2, determining the direction of different cross-section lines; Step 3, creating new cross-section lines and calculating their length and latitude / longitude coordinates; Step 4, dividing the new cross-section lines to obtain cross-section points and resampling them; Step 5, obtaining the elevation data of each cross-section point on the new cross-section line; Step 6, obtaining the elevation data of the target river area. The method for interpolating the topographic elevation of mountain rivers based on sparse river cross-section elevation data described in this invention can fully utilize existing elevation data, more accurately express the local topographic features of mountainous areas, achieve high-precision topographic elevation interpolation of mountain rivers, and provide a scientific basis for flood inundation analysis.

The application provides an ice area navigation dynamic sea ice risk early warning method and system, the method first acquires the navigation information of a target ship, the first navigation radar image information of a first time point and the second navigation radar image information of a second time point, and calculates the time interval of the two time points, then respectively extracts the interested region of the sea ice echo through a mask matrix, fills the pixels of the interested region of the sea ice echo and the pixels of other regions except the interested region of the sea ice echo with different colors to obtain the binary image of the sea ice echo of the two time points, then calculates the distance, azimuth angle of each piece of sea ice and the target ship, and the latitude and longitude coordinates of the sea ice centroid of the two time points by using a specific calculation method, calculates the sea ice collision probability and the sea ice collision consequence, further calculates the sea ice collision risk index, and performs corresponding different level sea ice risk early warning on the sea ice according to the comparison result of the sea ice collision risk index and the preset risk threshold of different levels.

The invention provides a parcel thermodynamic diagram generation and risk prompting system and method, and the system comprises an order information library which is used for recording order information, marking a high-risk address, and forming a high-risk label; the order information at least comprises a user address; the coordinate library is used for converting the user address into latitude and longitude coordinates through geocoding; the thermodynamic diagram module is used for combining the order information with latitude and longitude coordinates and carrying out visual grid thermodynamic diagram presentation on a map; and the risk prompting module is used for screening out coordinates with high-risk labels, counting grids of the coordinates, combining adjacent grids to form a high-risk fence, and dynamically displaying the high-risk fence on the grid thermodynamic diagram.