319 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 provides a GNSS-RTK-based topographic mapping method and system, and the method comprises the steps: obtaining multi-source positioning signal data in a target region, the multi-source positioning signal data comprising a satellite original observation value, a receiver antenna phase center deviation parameter, and real-time dynamic differential correction information; performing multi-path interference suppression processing on the multi-source positioning signal data to generate a phase observation sequence after interference suppression; inputting the phase observation sequence after interference suppression into a topographic feature calculation model, and extracting topographic elevation change feature parameters of the target area; performing spatial fusion processing based on the terrain elevation change characteristic parameters and reference elevation parameters in a preset terrain database to generate three-dimensional terrain curved surface data of the target area; and dynamically adjusting the topographic map updating frequency according to the difference degree between the three-dimensional topographic surface data and the historical topographic surveying and mapping result, and outputting a real-time topographic surveying and mapping result. According to the invention, precision, real-time performance and resource efficiency can be considered in complex terrain environment application.

The invention belongs to the field of submarine routing planning, particularly relates to a pipeline routing line selection method and system based on a path planning algorithm and analytic hierarchy process, and aims to improve the routing line selection efficiency and precision and reduce the routing risk in the pipeline routing line selection process. The method comprises the following steps: establishing an evaluation sample matrix X based on measured value data of evaluation indexes, and converting pixel points of a target sea area topographic map into nodes of a two-dimensional matrix to obtain a grid obstacle map; establishing a submarine pipeline routing risk quantitative evaluation model; converting the sea area topographic map into a risk level grey-scale map through the risk quantitative evaluation model of the submarine pipeline; and carrying out route planning through a route planning algorithm based on the grid obstacle map, and finding a route with the minimum accumulated gray value in the target sea area risk level gray-scale map through a greedy algorithm to serve as a final route. According to the method, risk parameters are taken into consideration for the generated path, and finally, the obtained route is a routing path with small length and low overall risk.

The invention discloses an intelligent identification method for high-position collapse geological disasters. The method comprises the steps that INSAR monitoring data, a radar topographic map and a remote sensing image map of a to-be-identified area are acquired; obtaining surface deformation information according to the INSAR monitoring data, and determining a hidden danger area according to the surface deformation information and a radar topographic map; registering the remote sensing image map of the hidden danger area based on the radar topographic map; and inputting the registered remote sensing image into a high-position collapse and slip identification model constructed based on CNN and RNN networks, and carrying out accurate identification on the high-position collapse and slip geological disaster point. According to the method, information of different data sources is fully utilized, the comprehensive capability and accuracy of geological disaster monitoring are improved, geological disaster monitoring is carried out on high-altitude collapse through multi-level and multi-angle analysis in combination with a deep learning network, the geological disaster occurrence place in a high-altitude area can be accurately recognized with high precision, and the geological disaster monitoring efficiency is improved. And scientific support is provided for geological disaster prevention and control work in high-altitude areas.

The invention relates to the technical field of earthquake prediction, in particular to a submarine seismic oscillation prediction method and device based on earthquake exploration, and the method comprises the following steps: selecting a monitoring region, collecting the submarine topographic data of the monitoring region, and drawing a topographic map; selecting a plurality of monitoring points according to the topographic map; geomagnetic field information, electric wave information, micro-seismic activity information and seabed deformation information of each monitoring point are collected and recorded; converting the collected information into acoustic signals and transmitting the acoustic signals to a sea surface buoy, and converting the acoustic signals into electric signals by the sea surface buoy and transmitting the electric signals to a ground data center; by optimizing site selection of monitoring points, integrating geomagnetic-electric wave-microseismic-deformation multi-source data, realizing high-efficiency data transmission by using an acoustic-electric staged communication chain, and finally realizing early recognition of earthquake precursor in combination with threshold analysis, the method can significantly improve the coverage range, data precision and early warning timeliness of seafloor earthquake monitoring, and has good application prospects. And a technical support is provided for marine geological disaster prevention and control.

The invention discloses a marine surveying and mapping method based on multi-beam sounding correction, and belongs to the technical field of marine surveying and mapping. The method comprises the following steps: acquiring sounding echo signals, sound wave propagation time delay data and temperature data through a multi-beam sonar array, an acoustic chromatography transceiving array and a laser Raman probe; and fusing the data to construct a dynamic refractive index field model, correcting sound ray refraction distortion by adopting an adaptive variable step size algorithm, carrying out weight allocation and data fusion on space-time adjacent beams to obtain high-confidence water depth, and generating an isobath topographic map. The problem of refraction distortion is solved through multi-source data fusion, the sound ray tracking step length is dynamically optimized, noise interference is suppressed through weighted fusion, and the precision and reliability of topographic surveying and mapping in complex environments such as a deep sea hydrothermal region are remarkably improved.

The invention relates to the field of building construction, and discloses a steel pipe pile foundation automatic arrangement method and device.The method comprises the steps that construction site data are collected to form a site information database, and the data comprise topographic maps, geological reports and site sizes; performing regional division on the site according to pile foundation arrangement requirements, and identifying arrangement influence factors of each region; pile foundation arrangement is planned based on the factors, and an arrangement reference target is obtained; key influence factors are set, historical construction site information is identified, and historical reference arrangement is obtained through data analysis; and determining a pile foundation arrangement prediction target in combination with the arrangement reference target and the historical reference arrangement. The method can control the deviation of an area with large engineering quantity elasticity, optimizes the arrangement scheme, and improves the construction efficiency and accuracy.

The invention discloses a quadruped robot motion control method based on topographic map reinforcement learning. The quadruped robot motion control method comprises the following steps: S1, building a quadruped robot model; s2, constructing a topographic map confidence estimation model; s3, constructing a state estimation model; s4, constructing an actor network and a commentator network to train the quadruped robot model; and S5, acquiring data of the laser radar and the inertial measurement unit by using a sensor fusion technology, generating a height map around the quadruped robot in real time, and updating environmental terrain information. By introducing the topographic map confidence estimation model and combining topographic map generation and topographic uncertainty estimation, the motion strategy of the quadruped robot in a complex terrain can be adjusted in real time, the adaptability of the robot to irregular terrains, obstacles and topographic changes is remarkably improved, and the reliability of the quadruped robot is improved. And control errors and falling risks caused by topographic changes or sensor noise are reduced.

The invention discloses an unmanned aerial vehicle path planning method based on radar omnidirectional detection and an improved A * algorithm, and the method comprises the steps: carrying out the down-sampling processing of an elevation topographic map, and calculating an elevation cost matrix of the whole elevation topographic map; detecting a dynamic threat target in a surrounding environment by using a radar omnidirectional detection technology, acquiring speed, direction and position information of the threat target, and performing power distribution on the dynamic threat target; according to the dynamic threat target information, the unmanned aerial vehicle performs flight path planning by adopting an improved A * algorithm to obtain an original path of the unmanned aerial vehicle on the elevation topographic map, and the original path is saved as a series of three-dimensional discrete path points; a cubic spline curve fitting algorithm is adopted to carry out smoothing processing on a series of obtained three-dimensional discrete path points, so that the three-dimensional discrete path points better conform to an actual flight path. According to the method, the problem that the dynamic threat target is difficult to avoid under a certain condition is effectively solved, and the efficiency and safety of unmanned aerial vehicle path planning are improved.

The invention provides a method and system for constructing a geographic entity based on a DLG topographic map, and the method comprises the steps: taking the DLG topographic map as a data basis, and carrying out the objectification processing of basic geographic information elements; the method comprises the following steps: constructing a data graph based on an association relationship between geographic information elements and a target geographic entity in dimensions such as spatial scale, geometric morphology, geographic features, attribute expression and the like, belonging to a mapping conversion standard, and extracting an intermediate entity library from an objectified result library; entity construction operators are assembled according to needs to complete entity production scheme configuration, processing such as assembly and fusion is carried out on primitive objects in the middle entity library based on an entity production scheme, and rapid production and construction of geographic entity achievements are achieved.

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 method and device for analyzing and calculating reservoir capacity by using a digital elevation model (DEM), and relates to the technical field of capacity estimation.The method comprises the steps that original digital elevation model (DEM) data is cut to obtain DEM data of a reservoir area, and the DEM data is supplemented according to high-precision map data; fusing topographic map data with the DEM data to obtain fused reservoir DEM data; and calculating the submerged area and the reservoir capacity under each water level condition based on the fused reservoir DEM data. The DEM data is supplemented through the high-precision map data and the topographic map data, the calculation of the submerged area and the reservoir capacity under each water level condition is realized, the overlarge calculation error caused by insufficient map precision is avoided, and the accuracy of reservoir capacity analysis is improved.

The invention discloses a grinding wheel wear degree identification method and device based on adaptive neural fuzzy reasoning. The method comprises the steps that a grinding temperature signal, grinding force and the surface quality of a workpiece are obtained; determining the abrasion stage of the grinding wheel according to the surface quality, the grinding force and the grinding temperature; extracting the total number of thermal pulses in the grinding temperature signal as the number of dynamic effective abrasive particles; a grinding wheel surface topography graph is obtained, abrasive dust and abrasive particle abrasion in the grinding wheel surface topography graph are recognized and distinguished through an HSV segmentation method, the area rate is calculated, and the abrasive dust proportion and the abrasive particle abrasion proportion are obtained; and the abrasive dust proportion, the abrasive particle abrasion proportion and the dynamic effective abrasive particle number serve as input, the abrasion stage serves as output, the self-adaptive neural fuzzy inference system is trained, and the trained self-adaptive neural fuzzy inference system is obtained for abrasion degree recognition. According to the method, the abrasion condition of the grinding wheel can be accurately and conveniently judged by utilizing the self-adaptive neural fuzzy reasoning technology and synthesizing the multi-dimensional characteristic signals in the grinding process.

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 invention relates to the technical field of point cloud data processing, in particular to a Delaunay triangulation network generation method based on point cloud data and computer equipment. According to the method, the triangulation network of each block is generated by numbering, blocking and overlapping the blocks according to a certain proportion and determining a public area and a non-public area (deletion area) of the overlapped part, in the generation process, key parameters are set, and the Delaunay triangulation network is quickly, efficiently and accurately established through reasonable parameter setting. In the triangulation network generation processing of each block, triangles formed by non-public area points at the starting end and the tail end of the current block are removed, and deduplication processing is carried out on triangles in an overlapped area, so that the triangulation network covered by the whole area can be quickly and efficiently generated by using the generation method disclosed by the invention; the Delaunay triangulation network can be generated for continuous (uniform) or discontinuous (non-uniform) point cloud data, and favorable data support is provided for generating a contour line topographic map, calculating the excavation and filling area of the cross section of the roadbed or generating a three-dimensional real scene model.

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 invention relates to the technical field of underwater riprap positioning, in particular to a high-precision underwater riprap method and system based on GPS positioning. The method comprises the following steps: acquiring a riprap deposition coordinate instruction; carrying out riprap coordinate acquisition based on a GPS technology and the riprap deposition coordinate instruction to obtain deposition coordinate data; establishing an initial underwater simulation topographic map; transmitting the deposition coordinate data to the initial underwater simulation topographic map for coordinate mapping so as to generate a simulation underwater topographic map; performing water surface impact coordinate analysis of riprap according to the simulated underwater topographic map and the deposition coordinate data to generate water surface impact coordinate data; designing a water surface riprap throwing strategy according to the water surface impact coordinate data; and executing underwater riprap operation according to the water surface riprap putting strategy, and performing iterative updating optimization on the water surface riprap putting strategy. According to the underwater riprapping method, the more accurate and efficient underwater riprapping method is achieved.

The invention discloses a territorial space planning topographic survey system, and relates to the technical field of topographic survey, and the system comprises an acquisition region division module which is used for collecting a historical topographic map of a to-be-measured region, calculating the topographic complexity of each topographic survey sub-region, and determining the measurement method of each topographic survey sub-region; the measurement environment analysis module is used for collecting environment data of the topographic measurement sub-region within the data collection time of the laser radar, calculating an environment error coefficient and giving an environment error early warning; the data acquisition module is used for measuring topographic data of the topographic measurement sub-region by using an unmanned aerial vehicle carrying a laser radar, marking a fine measurement region, and carrying out two times of topographic data measurement to form complete point cloud data; and the topographic data analysis module generates a measured topographic map, compares the initial topographic map with the measured topographic map, identifies a difference part, and outputs the difference part as a land space planning change area. The change condition of the terrain can be accurately identified, and the planning layout can be more reasonably adjusted and optimized.

The embodiment of the invention discloses a method for an intelligent excavator, and the method comprises the steps: carrying out the space division of an operation region according to the space information of a geological database; real-time position information and posture information of the bucket are obtained through the Beidou high-precision real-time dynamic positioning technology; combining data information of the GIS system to generate operation tasks, and matching operation areas and the operation tasks; position information and posture information of the bucket are displayed in real time, and the operation progress of the excavator is displayed on the three-dimensional topographic map in real time; technicians for excavator operation are intelligently guided, and the excavator is controlled to execute operation tasks. By implementing the embodiment of the invention, the working efficiency and quality of the excavator are improved, and more comprehensive guidance is provided for excavator technicians.

The invention discloses an underwater collaborative navigation positioning method based on inertia / ultra-short baseline alternative navigation. The method comprises the following steps: firstly, establishing a navigator motion model; a navigator carries out calculation navigation by using INS, and when the navigator does not receive a prior topographic map, INS / DVL integrated navigation is carried out by using Kalman filtering. When a navigator receives a prior topographic map, INS / DVL / TAN integrated navigation is carried out by using Kalman filtering. And then establishing a follower collaborative navigation model. Then, the navigator carries out distance measurement and angle measurement on the follower through the ultra-short base line, position information, slant distance information and azimuth angle information of the follower are sent to the follower at fixed time intervals, and the follower carries out tight combination based on Kalman filtering through the information; and finally, when the USBL carries out distance measurement and angle measurement, the single navigator carries out tight combination positioning on the follower. When the USBL only carries out distance measurement, simultaneous navigation is set to be alternate navigation, namely, the navigator 1 broadcasts own position and distance information at the moment, and the navigator 2 broadcasts own position and distance information at the next moment.

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 provides a power line inspection method and system based on an unmanned aerial vehicle, and relates to the field of unmanned aerial vehicle technology and power line automatic inspection, and the method comprises the steps: obtaining the basic data of an unmanned aerial vehicle power inspection road, so as to construct a two-dimensional environment diagram, the basic data comprises a specific layout of the power line, topographic and geomorphic information and an obstacle position; according to the two-dimensional environment diagram, path planning is carried out, and according to the cost of each node in the path and the actual distance, a two-dimensional power line path plan is obtained; establishing a three-dimensional topographic map according to the two-dimensional power line path planning; constructing an inspection cost function according to the three-dimensional topographic map; and according to the cost function, evaluating the cost of different inspection paths to obtain an evaluated inspection path. According to the electric power line inspection method based on the unmanned aerial vehicle, efficient, safe, low-cost and high-quality electric power line inspection is realized through accurate path planning, optimization and evaluation.

The invention provides an underground building attribute information determination method, electronic equipment and a storage medium, and the method comprises the steps: obtaining an underground building image of a target underground building and carrying out the image correction, and obtaining a target underground building image; vectorizing the target underground building image to obtain underground building element images corresponding to the basement plane graph and the pile foundation plane graph; positioning the underground building element image based on the general plan and the topographic map, and determining the position of each building element; and determining attribute information of the target underground building structure based on the position and the element level of each building element. According to the invention, the indoor digital investigation method is adopted, the image and element information of the underground building is digitally acquired, and the digital technology of image correction, vectorization processing and space element positioning is combined for processing, so that the manpower and material resource cost is saved, and the progress and efficiency of underground building investigation are guaranteed.

The invention discloses a physical index statistical method for generating a reservoir inundation range based on a digital elevation model. The method comprises the following steps: obtaining three-dimensional information data in a topographic map; obtaining an original digital elevation model by using the three-dimensional information data; performing section encryption on a local section interval in the original digital elevation model to obtain a local section encryption interval, and calculating a backwater section elevation corresponding to a backwater meter of the local section encryption interval; correcting the local section encryption interval by using the gradient data to obtain a corrected digital elevation model; and generating a design flood inundation line of each water level by using the corrected digital elevation model, obtaining each inundation water level and an inundation range of each flood standard, and then carrying out real object index statistics. According to the method, the topographic features of important ground features are fully considered, the drawing precision of different object submerging range lines is greatly improved, and the efficiency and precision of water conservancy and hydropower engineering construction land acquisition immigrant real object index statistics are remarkably improved.

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.

The invention, which relates to the technical field of small watershed data management, discloses a multi-source data small watershed air-ground integrated intelligent monitoring and management system comprising a satellite remote sensing data acquisition subsystem, an unmanned aerial vehicle monitoring subsystem, a ground monitoring subsystem, a multi-source heterogeneous data fusion subsystem and a data intelligent supervision platform. The satellite remote sensing data acquisition subsystem is used for carrying out large-scale hydrological and ecological monitoring by utilizing a satellite remote sensing technology, and carrying out accurate retrieval according to a geographic position, a time range and a sensor type so as to find a specific data set meeting requirements; a user is allowed to browse a remote sensing image online, zoom-in and zoom-out operation is carried out on a specific area, meanwhile, multiple kinds of layer information are overlaid, the layer information comprises a topographic map, an administrative map and a road traffic map, and data export options are arranged in a subsystem of the system and comprise an original data file, a preprocessed product and a customized data packet.

The present invention discloses a topographic survey system for territorial spatial planning, which relates to the technical field of topographic survey. It includes an acquisition area division module for collecting historical topographic maps of the area to be measured, calculating the topographic complexity of each topographic survey sub-area, and determining the measurement method for each topographic survey sub-area; a measurement environment analysis module for collecting environmental data of the topographic survey sub-area during the time when lidar collects data, calculating the environmental error coefficient, and issuing an environmental error warning; a data acquisition module using a drone equipped with lidar to measure the topographic data of the topographic survey sub-area, marking the fine measurement area, and performing two measurements of the topographic data to form complete point cloud data; a topographic data analysis module for generating a measurement topographic map, comparing the initial topographic map with the measurement topographic map, identifying the different parts, and outputting them as the changed areas of the territorial spatial planning. It can accurately identify the changes in the terrain and can more reasonably adjust and optimize the planning layout.

The invention discloses an elevation map and bathymetric map mutual conversion method and system, and the method comprises the steps: obtaining dynamic waterline information and water level information in real time, correcting the dynamic waterline information and the water level information to obtain a corrected instantaneous waterline, and unifying the corrected instantaneous waterline to an elevation point on a target moment waterline; constructing a first Delaunay triangulation network according to the elevation points on the waterline; dividing the first map into an underwater topographic map and a shore topographic map by taking the corrected instantaneous waterline at the target moment as a segmentation line; based on the underwater topographic map, extracting an underwater first point map layer; the first point diagram layer is superposed in the first Delaunay triangulation network; calculating second points corresponding to the first points in the triangular mesh in the first Delaunay triangulation network one by one by adopting an interpolation algorithm; according to the second point, constructing a second Delaunay triangulation network, generating a second line, and further obtaining a corresponding terrain; and superposing the corresponding terrain and the shore topographic map to generate a second map, thereby realizing efficient and accurate conversion.

The invention discloses a riverway section optimization processing method in a one-dimensional hydrodynamic model modeling process, which comprises the following steps: extracting section topographic data from a riverway topographic map, drawing an image of each section based on the section topographic data, and determining a riverway slope through the lowest point elevation of each section diagram; an L-shaped and / or linear cross section is presented for the overtopping, and the cross section of the river channel is linearly extended; inserting a certain number of new river channel sections into two adjacent river channel sections of which the elevation difference is greater than a preset elevation difference; and simulating the corresponding water level of the river channel section at the end moment specified by the model through the original river channel section data, extracting the extended and interpolated river channel section data based on the corresponding water level of the river channel section, and retaining effective river channel section data. The method has the advantages that the river section optimization efficiency is effectively improved, the operation is simple, the labor cost and the time cost of data optimization are greatly saved, and the requirement of efficiently and accurately constructing a model can be well met.