182 results about "Topographic map" patented technology

The invention discloses a power construction unmanned aerial vehicle path planning method and system, and relates to the technical field of space calculation, and the method comprises the following steps: determining a target region needing power construction and a preset construction point coordinate; obtaining a topographic map of the target area based on the geographic information database, constructing a three-dimensional map model, and marking the preset construction point coordinates; generating an initial construction path of the unmanned aerial vehicle; the method comprises the following steps: acquiring meteorological data in real time through meteorological data of a meteorological station in a target area, establishing a meteorological obstacle three-dimensional model, and dividing a preset radius threshold with a meteorological obstacle as a circle center into non-flying areas according to the severity level of the meteorological obstacle; adjusting the initial construction path based on the non-flying area; the cruise height is adjusted according to the meteorological data and topographic relief, a relief tracking path is generated, and the constant relative height is kept; and combining the battery capacity, the flight speed and the task priority, dynamically distributing inspection road sections, and generating a corresponding power construction unmanned aerial vehicle flight path.

The invention relates to a southern grassland soil carbon reserve dynamic evaluation method and system fused with remote sensing monitoring, and relates to the technical field of soil carbon reserve evaluation, and the method comprises the steps: drawing a target region topographic map based on multi-source satellite remote sensing data, inputting an initial soil carbon reserve inversion model, and outputting an initial soil carbon reserve distribution diagram and a deterministic thermodynamic diagram; extracting an uncertain area according to a certainty degree threshold value, and configuring and labeling supplementary sampling points according to a division rule; acquiring parameter information of the detection robot, generating a digital twinborn model in combination with the topographic map, configuring a supplementary sampling scheme, and sampling supplementary sampling points to obtain supplementary soil carbon reserve data; and returning the supplemented soil carbon reserve data to the initial soil carbon reserve inversion model, generating a corrected soil carbon reserve distribution diagram and a corrected determinacy thermodynamic diagram, judging that the task is completed when determinacy reaches the upper limit of resource consumption, otherwise, continuing to supplement sampling correction. The problems that traditional soil carbon reserve assessment is inaccurate and low in efficiency are solved.

The invention provides a base station electromagnetic radiation visual monitoring method and device, and the method comprises the steps: determining a three-dimensional topographic map of a monitoring region, carrying out the electromagnetic radiation measurement of an actual geographic position corresponding to a preset collection point on the three-dimensional topographic map, and obtaining the actual measurement data; obtaining beam characteristic parameters of each base station and space coordinate data of the actual geographic position, and calculating predicted electromagnetic radiation data of the actual geographic position according to the electromagnetic radiation prediction model; correcting the model, and calculating electromagnetic radiation data of a target area on the three-dimensional topographic map based on actually measured electromagnetic radiation data and the corrected electromagnetic radiation prediction model; and visually displaying the actually measured electromagnetic radiation data of the preset acquisition point and the electromagnetic radiation data of the target area. Therefore, accurate monitoring and visual display of the electromagnetic radiation of the base station are realized, so that the accuracy and reliability of electromagnetic radiation evaluation are improved, and the overall change rule of the electromagnetic radiation value of each position in the whole monitoring area can be visually observed.

The application discloses a room semantic segmentation method, which comprises the following steps: S1, acquiring a topographic map of a house, detecting door features on the topographic map, and generating a setting area based on the detection positions corresponding to the detected door features; S2, segmenting the setting area to segment out doors from the setting area, and then verifying the segmented doors to determine the shapes and positions of the doors; and S3, based on the shapes and positions of the doors, performing semantic classification on the topographic map, and then generating a topographic map after the semantic classification. The room semantic information of a grid image is recognized and segmented in a deep learning manner, the understanding of a scene semantic by a robot is improved, and different cleaning strategies or other work can be used for different rooms.

The embodiment of the invention discloses a low-altitude wind shear early warning method and device based on multi-source meteorological data. A specific embodiment of the method comprises the steps of generating a first region of interest for a target region according to a contour topographic map; determining a second region of interest according to the real-time rainfall distribution diagram and the real-time air temperature distribution diagram; performing region optimization on the first region of interest according to the real-time wind field graph to obtain a third region of interest; generating a fourth region of interest according to the second region of interest and the third region of interest; and according to the fourth region of interest and a pre-trained low-altitude wind shear prediction model, generating wind shear region early warning information. According to the embodiment, accurate prediction of the wind shear is realized, so that early warning is performed on the low-altitude aviation equipment, and the navigation safety of the low-altitude aviation equipment is ensured.

The invention discloses a dispenser height measurement method, a warping correction method, a dispenser and a storage medium, and relates to the field of dispensers. Controlling the carrying platform to drive the substrate to move, starting the laser transmitter to roughly measure the substrate, and obtaining initial point cloud data of the surface of the substrate; performing accuracy judgment on the initial point cloud data, determining material characteristics of the substrate according to a judgment result, and selecting a target height measurement mode; when a mixed height measurement mode is selected, identifying an abnormal key point and a target area of the initial point cloud data, and switching to a probe height measurement mode to perform fine measurement on the target area to obtain secondary point cloud data; the abnormal key points comprise intensity abrupt change points and boundary positions of the substrate; and carrying out point cloud processing fusion based on the initial point cloud data and the secondary point cloud data to generate a high-precision 3D morphology graph. According to the scheme, high-precision height measurement of substrates made of different materials is realized. The mixed height measurement mode overcomes the limitation of a single measurement mode, and improves the adaptability of the dispenser to various substrates.

The invention relates to the technical field of Beidou inspection data processing, and discloses an automatic inspection data acquisition and space-time association method under Beidou space-time reference. The method comprises the following steps: acquiring historical working condition data of inspection equipment based on nanosecond-level time synchronization and centimeter-level space positioning information of a Beidou system, and constructing a space-time dynamic prediction model; acquiring an equipment sensor measurement value, a moving track point set and a timestamp sequence in real time, and outputting a theoretical inspection value through a model; performing space-time multi-dimensional comparison on the theoretical value and the actual value, analyzing a time accumulation error, a space deviation degree and data flow form consistency, and generating a difference feature tensor; inputting the tensor into a geocoding topological reasoning network, simulating anomaly diffusion and generating an anomaly probability cloud picture in combination with topographic map node attributes and equipment distribution, and delineating an anomaly range; polling parameters are dynamically configured according to the cloud atlas, enhanced collection is started for a high-probability abnormal area, and data credibility inspection is executed on peripheral equipment.

Method, system, and non-transitory computer readable storage medium are provided for creating a shelf bathymetric map. In some embodiments, a satellite image with a shelf area and related altimeter data for at least a number of points of the shelf area are obtained. The shelf area in the satellite image and depth values for the shelf area from said altimeter data are selected. The selected depth values are associated with points of the shelf area based on geo-coordinates. A training dataset and a testing dataset are created from the associated points. A neural network is trained on the training dataset. The neural network is tested on the testing dataset. Inference of the neural network is adjusted based on testing results. A depth value for each satellite image pixel of the shelf area is predicted by the neural network.

The present invention discloses an optimized energy allocation method and system for an electric vehicle and an electric vehicle. The method includes step (1) detecting remaining charge levels of a first super-capacitor and a second super-capacitor, determining whether the remaining charge levels of the first super-capacitor and the second super-capacitor are greater than a preset threshold value, and if so, proceeding to step (2); step (2) acquiring a topographic map of a road ahead by means of an electric horizon system, predicting whether there is a continuous slope ahead, and if so, proceeding to step (3); and step (3) according to a continuous slope value ahead, predicting a braking force allocation proportion when carrying out braking ahead, allocating current power outputs of the first super-capacitor and the second super-capacitor in advance according to the braking force allocation proportion, and returning to step (1).

The invention relates to the technical field of environment monitoring, in particular to a deep sea polymetallic nodule mining area plume boundary expansion rate estimation method combined with vortex structure evolution, which comprises the following steps: S1, collecting disturbed flow field data and a submarine topography map, and calculating the expansion rate of the plume boundary of a deep sea polymetallic nodule mining area on the basis of a disturbed intensity change rate and a spatial adjacency relation between the disturbed intensity change rate and topographic protrusions; constructing a structure intermittent mark area and identifying a terrain trigger point; s2, tracking a vortex evolution stage and interference characteristics in the marked area, extracting boundary jump key factors and generating a jump event set; and S3, mapping the jump event to a boundary trajectory, generating a discontinuous expansion rate diagram in combination with a terrain trigger weight, and outputting a nonlinear propulsion trend. According to the method, accurate modeling and dynamic estimation of the nonlinear propulsion trend of the plume boundary are realized by constructing a disturbance-terrain coupling mark area, extracting vortex structure evolution information and a boundary jump event and combining the terrain triggering weight to generate a discontinuous expansion rate distribution diagram.

The invention relates to the technical field of intelligent calculation of earth-rock work amount, and discloses an earth-rock calculation method and device for wind power plant road construction and a storage medium. Comprising the following steps: S1, acquiring topographic point cloud, engineering geology and meteorological time series data of a wind power plant construction area through sensing equipment; s2, constructing a topographic map structure, generating an adjacent matrix and extracting space-time diagram convolution features; s3, constructing and solving a dynamic differential model based on the features, and predicting the volume change of earthwork; s4, improving the solving efficiency by adopting a mixed precision heterogeneous calculation strategy; and S5, introducing a geomechanical constraint optimization prediction result, and outputting a construction area earth-rock distribution diagram. According to the method, the spatial structure characteristics of the complex terrain of the wind power plant are extracted by adopting the graph convolutional neural network, a high-fidelity modeling effect on the terrain form of the road construction area is realized, and the defect that terrain detail information is difficult to express is overcome.

The invention relates to computer aided design, and discloses a Braille printing method and system combined with 3D relief, and the method comprises the steps: carrying out the connection and fusion of a concave-convex topographic map and a multi-level depth map corresponding to each Braille dot matrix, and generating a dual-channel depth map as a printing pattern; controlling the 3D printing system to spray resin on the printing substrate based on the printing pattern read by the light field modulator, and scanning the surface of the resin by laser aiming at the braille dot matrix area to form a concave-convex structure corresponding to the concave-convex topographic map; on the adjacent side of the braille dot matrix area, a multi-wavelength DLP projection system is used for executing layered exposure, the embossment structure represented by the multi-level depth map is projected to the resin layer, and an embossment model is formed; and performing global curing on the whole printed piece based on ultraviolet light to form an integrated finished product of braille alphabets and 3D embossments. The invention further discloses a computer readable storage medium. The method aims at efficiently manufacturing seamless and high-precision multi-layer 3D embossment integrated finished products of braille alphabets and related semantics.

The invention belongs to the technical field of landslide identification and prediction, and particularly relates to a landslide distribution probability prediction method and system based on remote sensing data, and the prediction method comprises the following steps: step 1 to step 6, selecting a research area, capturing remote sensing data, describing a curved surface form of the research area, and constructing a digital elevation model; after screening, introducing elevation data into MATLAB software, and drawing a three-dimensional topographic map in a three-dimensional coordinate system; constructing a landslide probability model, simulating variables in the landslide, deducing seismic data, and deducing slope data; constructing a WGEN model, and deducing a precipitation density function of the research area based on GAMMA distribution to realize precipitation simulation; the prediction system comprises a web crawler module, a local database, a processor and a touch screen. According to the method, the elevation and rainfall of the plateau area are associated, multiple models are constructed, the landslide distribution probability accuracy is high, and risk early warning can be carried out within 3 hours after an earthquake.

The application provides a method and device for planning an inspection route, electronic equipment and a storage medium. The method comprises the following steps: obtaining a digital orthographic image and a digital elevation model of a target photovoltaic power station area; generating a three-dimensional topographic map of the target photovoltaic power station area according to the digital orthographic image and the digital elevation model; determining a string center position and a string orientation of the photovoltaic string in the three-dimensional topographic map; and planning an inspection route of a camera of a flying machine for the photovoltaic string according to camera parameters of the flying machine and the string center position and the string orientation of the photovoltaic string. The three-dimensional topographic map can be used to more accurately determine the string center position and the string orientation, and then, according to the camera parameters of the flying machine and the string center position and the string orientation of the photovoltaic string, a more accurate inspection route planning result can be obtained, thereby improving the accuracy of the inspection route planning.

The application discloses a PLA composite material and a preparation method and application thereof, and belongs to the field of high polymer materials. The application adds a specific amount of a specific aromatic polycarbodiimide into polylactic acid, and controls the weight average molecular weight, the polydispersity coefficient and the D-lactic acid structural unit content of the obtained PLA resin within a specific range, so that the PLA resin has good wire drawing performance and low yellowness, is suitable for the high-speed 3D printing wire market, and the obtained wire can be used for 3D printing toys, ornaments, medical human simulation organs, artworks, topographic maps, house models and the like.

The invention provides a new energy station accessory building layout planning method based on multi-source data collaboration, and the method comprises the steps: obtaining and fusing a topographic map, unmanned plane laser point cloud and GIS data, and generating corrected topographic data; drawing a station general plane graph containing a building contour, an elevation and a road network; coupling the point cloud with the general drawing, and performing three-dimensional adjustment on the site elevation to obtain a preliminary scheme; analyzing the foundation bearing capacity according to the elevation and determining the building height; building primary arrangement is conducted according to the height; and finally, calculating spacing and sunshine and wind pressure influence factors, and iteratively optimizing the layout. The layout rationality, the construction feasibility and the structure safety can be improved, and the construction cost and risks are reduced.

The invention discloses a debris flow early warning judgment method and system, and belongs to the technical field of hydraulic engineering, and the method comprises the following steps: a, determining the gully bed longitudinal gradient and the area of a drainage basin formation region of potential gully-type debris flow through a topographic map; b, obtaining lithology types of gully-type debris flow, and classifying the lithology types of the gully-type debris flow; c, calculating topographic indexes of gully-type debris flow; d, calculating a rainfall index for inducing gully-type debris flow; e, calculating an early warning discrimination index of the gully-type debris flow; and f, according to the early warning discrimination indexes of the gully-type debris flow, dividing early warning levels of the gully-type debris flow with different lithology. According to the method, a quantitative comprehensive early warning judgment index is constructed, the scientificity and accuracy of judgment of the debris flow starting critical condition are remarkably improved, multi-stage dynamic early warning from extremely low risk to high risk is achieved, and a direct operable technical basis is provided for accurate implementation of graded emergency response and disaster prevention resource allocation.

The invention provides a risk identification method and device for a fan impeller to sweep obstacles, electronic equipment and a storage medium. The risk identification method comprises the following steps: constructing a simulated topographic map for simulating the topographic condition after the construction of the wind power plant is completed based on an actually measured topographic map of the wind power plant and the construction information of each machine site; inputting the wind parameter information of each machine position point and the set information of the fan to be installed at each machine position point into a fan load simulation model to obtain the tower top displacement information after each fan is installed and operated; taking the terrain point with the risk to be identified around each machine location point as a target terrain point, and determining the minimum distance from the hub center of the target fan to the obstacle at the target terrain point based on the tower top displacement information of the target fan to be installed at the machine location point, the height of the obstacle at the target terrain point and the simulated topographic map; and if the difference value between the minimum distance and the radius of the impeller is smaller than a preset threshold value, it is determined that the target fan has the risk that the impeller sweeps the obstacle at the target terrain point.

The invention discloses a wind speed map drawing method, device and system and a storage medium, and the method comprises the steps: obtaining mesoscale meteorological data of a target region from a database used for recording meteorological data, and obtaining a topographic map of the target region; setting boundary layer parameters and boundary conditions for a topographic map of a target area based on the mesoscale meteorological data; performing CFD simulation on the target area according to the boundary layer parameters and the boundary conditions to obtain a simulated wind speed value of any point in the space of the target area; calculating a long-term wind speed sequence of any point in the target area space according to the simulated wind speed value and the wind speed in the mesoscale meteorological data; and drawing a wind speed map of the target area according to the long-term wind speed sequence. According to the method, the mesoscale meteorological data and the CFD simulation technology are deeply fused, the wind speed map of the target area can be obtained without arranging an anemometer tower in advance or performing long-term wind measurement, the wind speed measurement efficiency is improved, and the wind speed measurement and calculation cost is reduced.

The present disclosure provides a training method of a geological unit classification model. The training method of the geological unit classification model comprises: selecting a target area according to a lunar topographic map framing rule, and determining image data of the target area; generating pixel grid vector data based on the image data, and calculating the longitude and latitude coordinates of the center position of each pixel grid based on the pixel grid vector data to obtain data point vector data; performing spatial superposition operation based on the data point vector data to determine at least one data feature; determining sample input data of a to-be-trained geological unit classification model based on the at least one data feature; and training the to-be-trained geological unit classification model by using a machine learning algorithm according to the sample input data. The present disclosure also provides a geological unit classification method, device, equipment and storage medium.

The invention discloses a sample crystal quality detection method, electronic equipment and a storage medium. The sample crystal quality detection method comprises the following steps: acquiring a plurality of morphology graphs of a to-be-detected sample; wherein each morphology graph corresponds to an incident angle for performing X-ray irradiation on the to-be-detected sample, and the sizes of all the morphology graphs are the same; determining a rocking curve of the pixel according to the pixel intensity of the pixels at the same position in all the morphology graphs, and obtaining a rocking curve of the pixel at each position; wherein the rocking curve is a corresponding relation curve of the incident angle and the pixel intensity; and determining the crystal quality of the sample to be detected according to the rocking curve of each pixel and the position of the pixel. According to the invention, micron-sized high-spatial-resolution crystal quality analysis can be realized, and the crystal quality of the sample can be quantitatively evaluated.

This application discloses a method, apparatus, device, and storage medium for heterogeneous topographic map reconstruction based on spatial indexing and multidimensional ray detection, relating to the field of geographic information system processing technology. The method includes: emitting scanning rays within the geographic range corresponding to the target mapping area and obtaining their intersections with vector boundaries; classifying the target mapping area based on the intersections and scanning rays to identify boundary depressions and cavity edges; extracting background elevation points from a preset background topographic map library based on the identified boundary depressions and cavity edges; constructing a constrained Delaunay triangulation network and then smoothing it to obtain the target topographic file. This solves the problem of not being able to automatically identify irregular boundaries and cavities during stitching, which leads to elevation faults. It achieves automatic identification of the mapping area boundary morphology and accurate positioning of the elevation points to be filled without manual intervention.

The utility model discloses a spaceflight launching and recycling situation visualization system, which belongs to the technical field of visualization systems and comprises a data acquisition module, a data server cluster, an animation server, a large-screen display device and a switch. The data server cluster is in communication connection with the switch, the switch is in communication connection with the animation server, and the data server cluster is in communication connection with the large-screen display device. According to the method, a data server cluster is established, a topographic map of a recovery position is made, and real-time three-dimensional animation production is performed through data obtained from the data server cluster when a spacecraft is launched and recovered, so that visualization when the spacecraft is launched and recovered can be realized, an intuitive space display mode can be realized, and understanding is facilitated.

The application discloses a land use status map data generation method based on large-scale topographic maps, and steps include: collecting and establishing basic databases such as large-scale topographic maps, high-resolution image maps and the like; constructing a generation path of a land use status map basic unit, deconstructing elements, structures, information and the like of the large-scale topographic maps, analyzing natural and artificial features of the land, and determining a utilization direction of geographic information elements in the land use status map data generation; constructing a basic element base map through element extraction and data integration, combining land feature status characteristics to demarcate boundaries of the land and identify land types, and optimizing overall expression of the present land use; and the like. The land use status map data generation method breaks the path of conversion from the topographic map to the land use status map data, has advantages such as fine land use classification, accurate land block space and detailed spatial expression, and can provide multi-level technical support for national space planning and natural resource management.

The present application provides a kind of topographic map unlabelled area segmentation method based on deep learning, including collecting and segmenting topographic map grid, obtain multi-source tensor topographic map;Design backbone network, output the feature representation of multi-source tensor topographic map;Build geographic semantic library, increase the geographic semantic understanding of topographic map, generate semantic weight;Design main segmentation network, carry out initial segmentation prediction;Quantify the prediction uncertainty of main segmentation network, output initial segmentation result by the way of multiple iterations;For initial segmentation result, pixel connected domain detection, terrain constraint and spatial consistency improvement are carried out, and coherent segmentation result is obtained;Again, coherent segmentation result is visualized as heat map and spatial explainability layer.The present application can handle complex landform and spatial heterogeneous situation, make topographic map unlabelled area segmentation more accurate, intelligent and efficient, restore unlabelled area real landform, significantly optimize boundary and spatial distribution, promote the intelligent upgrading of geographic information system.

The application discloses a plane absolute position precision convenient statistical evaluation system based on a software environment, through the setting of a data extraction unit and a position comparison unit, a data model is constructed by combining a topographic map and a virtual space rectangular coordinate system, then the position of a ground object point is marked and distance calculation and slope ratio calculation are carried out, and whether the mathematical precision of the topographic map meets the requirements is determined through preliminary comparison, the evaluation work efficiency of the topographic map is improved, and the accuracy of the topographic map evaluation is improved, through the setting of an error analysis unit and a comprehensive evaluation unit, error analysis and calculation are carried out on the distance between field surveying and mapping data and the ground object points in the data model or the slope of the ground object points, and the error times generated are counted, quantitative calculation of the satisfaction degree of the topographic map is carried out by using the comprehensive evaluation unit, the problem of low work efficiency in quantitative evaluation of the topographic map drawn under the software environment is solved, and the evaluation efficiency and the persuasiveness of the evaluation result are improved.

The invention provides a dike highway engineering geological exploration arrangement method, which belongs to the technical field of water conservancy and traffic engineering geological exploration, and comprises the following steps: drawing the axes of a dike highway, a dike-crossing building and a road-crossing building on a topographic map; arranging an embankment highway, an embankment-crossing building, an exploration longitudinal section line of the embankment-crossing building and a first exploration point located on the exploration longitudinal section line; arranging a dike road exploration cross section line and a second exploration point located on the cross section line; and designing the depths of the first exploration point and the second exploration point to complete exploration arrangement. According to the method, related engineering geological investigation technologies and requirements of the water conservancy industry and the traffic industry are fused, the investigation result quality of dike highway engineering investigation can be guaranteed, meanwhile, the investigation period is shortened, the investigation workload and expenses are saved, and the method has the advantages of being high in operability, good in exploration effect, low in cost, short in period and the like.

The application relates to a fusion remote sensing monitoring southern grassland soil carbon storage dynamic evaluation method and system, and relates to the technical field of soil carbon storage evaluation, and comprises the following steps: drawing a target region topographic map based on multi-source satellite remote sensing data, inputting an initial soil carbon storage inversion model, and outputting an initial soil carbon storage distribution map and a deterministic thermal map; extracting an uncertain region according to a certainty threshold, configuring a supplementary sampling point according to a division rule and marking; obtaining probe robot parameter information, generating a digital twin model in combination with the topographic map, configuring a supplementary sampling scheme, sampling the supplementary sampling point, and obtaining supplementary soil carbon storage data; returning the supplementary soil carbon storage data to the initial soil carbon storage inversion model, generating a corrected soil carbon storage distribution map and a corrected deterministic thermal map, determining that a task is completed when the certainty is up to standard or reaches a resource consumption upper limit, and otherwise, the task is continuously corrected by supplement sampling. The application solves the problems of inaccurate and low-efficiency traditional soil carbon storage evaluation.

The invention relates to the technical field of house safety detection, and discloses a characterization key parameter-based house safety assessment method, which comprises the steps of determining house information of a to-be-assessed house according to image information, landform information and a three-dimensional topographic map; performing safety grade evaluation on the indexes corresponding to the house information to obtain a plurality of index grades; determining weights corresponding to the indexes based on an importance degree evaluation matrix among the house information, and performing weighted summation on index rating according to the weights to generate a safety level score of the to-be-evaluated house; and evaluating the to-be-evaluated house according to the security level score. Specific house information is rated, and then the house safety level is comprehensively rated according to the importance degree of various kinds of house information, so that the safety comprehensive level of the house is obtained. The scientificity and the consistency of the evaluation result are remarkably improved, and a reliable decision basis is provided for maintenance, management and risk early warning of the house.

A mobile agricultural machine receives a topographic map indicative of topographic characteristics of a worksite, wherein the topographic characteristics are based on data collected at or prior to a first time and receiving supplemental data indicative of characteristics relative to the worksite, the supplemental data collected after the first time. A topographic confidence output is generated which is indicative of a confidence level in the topographic characteristics of the worksite as indicated by the topographic map, based on the topographic map and the supplemental data. In some examples, an action signal is generated to control an action based on the topographic confidence output.