4247results about "Surveying instruments" patented technology

The invention discloses a topographic surveying and mapping system and method of an unmanned aerial vehicle, and belongs to the technical field of topographic surveying and mapping. The system comprises the following modules: a data acquisition module which is responsible for acquiring high-precision terrain and environmental parameter data of a target area by using an unmanned aerial vehicle platform; the data fusion and correction module is responsible for fusing multi-source data and meteorological information and eliminating errors among sensors; the multi-dimensional feature analysis and recognition module is used for performing feature extraction and classification on data of each sensor through multi-dimensional feature analysis, and recognizing and separating an environment interference signal and a real building deformation signal; the interference elimination and deformation extraction module is used for carrying out pattern recognition and quantitative analysis on periodic non-deformation interference and accurately extracting real deformation characteristics of a building from complex dynamic noise; the real-time analysis module is used for realizing real-time data processing and feedback and ensuring that high-precision building change information is quickly provided; and the visualization module provides multi-dimensional dynamic visualization display including a building change heat map, an interference distribution map and a time sequence curve.

The invention provides a geographic information visualization intelligent analysis system based on unmanned aerial vehicle surveying and mapping, and belongs to the field of surveying and mapping, and the system comprises an unmanned aerial vehicle aerial survey module which carries out regional aerial survey based on a multi-source sensor carried by an unmanned aerial vehicle, obtains multi-modal geographic data, and carries out the preprocessing of the multi-modal geographic data; the data processing module is used for forming an initial geographic data set under a standard coordinate system; the three-dimensional modeling module is used for obtaining the fused geographic feature data, constructing a three-dimensional geographic information model, optimizing the three-dimensional geographic information model and embedding time dimension information to form a four-dimensional spatio-temporal data set; the analysis and decision module is used for generating an analysis report comprising a terrain evolution trend and disaster risk assessment; and the visual platform module is used for visualizing the analysis report through a preset visual interaction interface and adjusting the rendering precision of the optimized three-dimensional geographic information model in real time according to the change of the visual angle of the user. The system provides an efficient and intelligent solution for geographic surveying and mapping and disaster early warning.

The embodiment of the invention discloses an intelligent surveying and mapping method and system based on AI and BIM fusion. The method comprises the steps that an unmanned aerial vehicle platform carrying a laser radar, an RGB camera and a positioning system is used for scanning ancient building cultural relics and surroundings in a multi-angle flight mode, point cloud data, multi-view image data and position and attitude data are synchronously collected, and the three are associated through timestamps; after the point cloud data and the multi-view image data are preprocessed, cross-modal registration is completed through feature matching and pose estimation in combination with the position and pose data, and a registration data set is obtained; semantic segmentation is carried out on the point cloud data and the image data in the registration data set, and semantic segmentation results are fused based on the incidence relation; classifying and aggregating the original point cloud components according to category labels, constructing a topological relation reasoning assembly relation, calling corresponding BIM template instantiation model components based on the assembly relation, and hooking a segmentation result to generate a semantic enhanced BIM model; and integrating the BIM model and the GIS base map to form a fusion model so as to plot the historic building cultural relics.

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 technical field of topographic mapping, and discloses a topographic mapping system and method based on an unmanned aerial vehicle, and the method comprises the steps: a data collection module collects map geological data; the route planning module plans an optimal driving route; the data acquisition module acquires topographic images and point cloud data; the environment parameter monitoring module monitors flight environment parameters in real time; the image data analysis module is used for preprocessing and analyzing the image data; the radar data analysis module preprocesses and analyzes the radar data; the feature extraction and matching module performs feature extraction and matching on the image and the point cloud data; the terrain model construction module constructs a terrain three-dimensional model; and the terrain analysis module performs quantitative analysis on the terrain. According to the method, key feature extraction is performed on images and point cloud data, and image splicing and point cloud registration are realized; the terrain model construction module constructs a three-dimensional terrain model according to feature extraction and matching results, and the terrain analysis module obtains accurate terrain information.

The invention relates to the technical field of map data acquisition, in particular to a surveying and mapping geographic information map data acquisition method and system, and the method comprises the steps: building a space-time reference network: generating an underground-earth surface space-time reference network for connecting the underground with the earth surface through acousto-optic joint calibration; generating a multi-source correction parameter: fusing the underground inertial navigation data, the surface atmospheric refraction parameter and the equipment temperature drift coefficient, and calculating a multi-source correction parameter set for coordinate system conversion and error compensation; space-time evolution element collection: calibrating a mobile collection device in real time by using the multi-source correction parameter set, synchronously obtaining underground pipeline point cloud, an earth surface building image and a construction machinery track, and generating a space-time evolution element body with a space-time version label; and dynamic topology evolution modeling: analyzing an element change sequence in the spatio-temporal evolution element body, and constructing a dynamic evolution topology model. According to the method, differential analysis and a conflict backtracking strategy are combined, so that the adaptive updating and decision support capability of the map data in a construction disturbance scene is improved.

The invention relates to the technical field of surveying and mapping information processing, and discloses a surveying and mapping information intelligent analysis and visualization system based on the Internet of Things. According to the system, a building space data acquisition terminal acquires geometric feature point cloud and environmental parameters of the surface of a building structure in real time through distributed Internet of Things nodes; the multi-source heterogeneous data fusion engine performs space-time alignment processing on the geometric feature point cloud to generate a building total-factor topological skeleton with an absolute coordinate system; the three-dimensional topological relation reconstruction module is used for extracting a spatial constraint relation of building components according to the topological skeleton and establishing a hierarchical building information model capable of being edited in a parameterized manner; and the dynamic visual rendering platform is used for generating a multi-scale spatial index based on the hierarchical building information model, and driving real-time light and shadow effects and interactive sectioning analysis. According to the system, full-process automatic processing and dynamic visualization of building surveying and mapping data are realized.

The invention relates to the technical field of topographic survey, in particular to an automatic surveying and mapping method and system for a complex topographic land parcel for urban and rural planning. The method comprises the following steps: acquiring satellite remote sensing data and a digital elevation model corresponding to an urban and rural planning survey area, and performing survey area terrain pre-detection to generate an urban and rural planning complex terrain survey area plot; the method comprises the following steps: carrying out element semantic recognition and segmentation on an urban and rural planning complex terrain plot to obtain terrain obstacle distribution corresponding to each building, vegetation and water body element in the urban and rural planning complex terrain plot; obtaining a corresponding three-dimensional surveying and mapping boundary constraint of the complex terrain land parcel and carrying out surveying and mapping path obstacle planning to generate a terrain constraint surveying and mapping planning path corresponding to the urban and rural planning complex terrain land parcel; and performing automatic navigation surveying and mapping processing on the urban and rural planning complex terrain plot to generate urban and rural planning complex terrain plot surveying and mapping data. According to the invention, the efficient, accurate and automatic navigation surveying and mapping process of the plot under the complex terrain condition can be realized.

The invention discloses an ocean multi-source observation data fusion assimilation method and system, and relates to the technical field of data processing, and the method comprises the steps: obtaining multi-source ocean observation data; uniformly converting the timestamps and the space grids of the multi-source ocean observation data into a data format of an FVCOM numerical model; constructing a data fusion assimilation model; the data fusion assimilation model comprises an FVCOM physical model and an AC-PKAN neural network; training the data fusion assimilation model, and adjusting the weight parameter of the data fusion assimilation model according to the dynamic observation data currently acquired by the edge device; and fusing and assimilating the multi-source marine observation data by using the data fusion assimilation model to obtain multi-source fusion marine observation data. According to the method, the timestamps and the space grids of the multi-source marine observation data are synchronized, and then the data fusion assimilation model is constructed for fusion assimilation, so that the fusion accuracy of the multi-source marine observation data can be improved.

The invention discloses a continuous rigid frame bridge construction monitoring method which comprises the following steps: before cantilever casting construction, arranging linear monitoring points along the longitudinal axis direction of a bridge according to the spacing of 8-12 meters, and respectively arranging stress monitoring points on a top plate and a bottom plate of the root section of each section; synchronously acquiring three-dimensional coordinate data of the linear monitoring points and real-time strain data of the stress monitoring points in the process of pouring each section in a cantilever manner; the collected linear data and stress data are input into a finite element model for collaborative analysis, and when a linear deviation value exceeds + / -5% of a designed pre-camber value and the deviation between a stress measured value and a theoretical calculation value exceeds + / -8%, an adjustment instruction is automatically generated; according to the adjusting instruction, the elevation of the front fulcrum of the hanging basket is adjusted through the hydraulic jack during construction of the next section; after initial setting of the adjusted segment concrete, linear data and stress data are collected, and the actually measured data and a finite element model prediction value are compared and verified. The method can help to guarantee the safety and durability of the continuous rigid frame bridge.

The invention relates to the technical field of slope settlement monitoring and early warning, in particular to a visual slope settlement monitoring and early warning method and platform. The method comprises the following steps: acquiring slope settlement monitoring data; preprocessing the acquired slope settlement monitoring data; respectively constructing a multi-scale slope digital twinborn model and a hybrid intelligent prediction model; constructing a multi-level early warning index system; constructing a fuzzy neural network early warning model based on a multi-stage early warning index system through a multi-scale slope digital twinborn model and a hybrid intelligent prediction model; and performing visual slope settlement early warning by using the fuzzy neural network early warning model. According to the space-air-ground integrated monitoring network constructed by the invention, a satellite InSAR, an unmanned aerial vehicle LiDAR and distributed optical fiber sensing are fused, and full-scale monitoring from regional macroscopic deformation to slope surface microcracks and deep soil displacement is realized.

The invention belongs to the technical field of bridge construction state monitoring, and particularly discloses a fabricated bridge construction state real-time monitoring system and method, and the system comprises a reference deviation analysis module, a reference deviation judgment module, a component installation monitoring module, a deviation coupling analysis module and a deviation coupling judgment module. According to the method, the three-dimensional position coordinate and the attitude angle of the first installation component and the reference attitude in the BIM are subjected to dual comparative analysis of position deviation and attitude deviation, so that the installation error of the first installation component is controlled within the threshold value, deviation accumulation is avoided from the source, an accurate reference is established for installation of subsequent installation components, and the installation accuracy of the first installation component is improved. And meanwhile, self deviation analysis and deviation diffusion effect analysis of the newly installed component are subjected to coupling judgment, so that hidden risks caused by collaborative change among parameters are avoided, the deviation judgment accuracy and the risk prevention and control comprehensiveness are improved, and the stability and safety of the bridge structure are guaranteed.

The invention relates to the technical field of hydraulic ring surveying and mapping, in particular to a hydraulic ring surveying and mapping data acquisition method and system based on geographic space information, and the method comprises the following steps: S1, data acquisition and preliminary data set generation: generating an initial geographic space data set; s2, space-time alignment and coupling feature extraction: constructing a preliminary geographic space model; s3, dynamic verification and cross verification: generating a dynamic verification parameter set; s4, three-dimensional geologic modeling and parameter fusion: generating a comprehensive three-dimensional geologic model; s5, environment interference correction and data optimization: analyzing the offset of an environment interference factor to sensor data through an adaptive learning algorithm, and outputting corrected hydraulic ring surveying and mapping data; and S6, safety threshold comparison and early warning map generation: generating a visual early warning map. According to the method, deep support is provided for underground structure analysis, and the comprehensive capability of hydraulic ring surveying and mapping is improved.

The invention relates to the technical field of ocean engineering surveying and mapping, and particularly provides an ocean engineering surveying and mapping terrain correction method based on multi-beam sounding. The method comprises the following steps: constructing a tremor-sound velocity coupling model through multi-source data synchronous acquisition, and generating a sound velocity dynamic correction term; fusing the static sound velocity profile, the internal wave disturbance term and the sound velocity correction term, and establishing a time-shifting sound velocity field of spatio-temporal evolution; realizing dynamic space homing calculation through a double-shaft decoupling rotation matrix based on a hull attitude and a time shifting sound velocity field; tunnel effect noise is suppressed by adopting an airspace adaptive filtering technology; the terrain deformation rate is calculated in combination with continuous cycle data, and a deformation threshold value is dynamically set through soil mechanical parameters to trigger graded safety early warning; and outputting the high-precision three-dimensional terrain model without the sound velocity error and the noise interference. According to the method, the problems of geological activity interference compensation deficiency, tunnel effect noise suppression insufficiency, large dynamic environment homing error and the like in traditional surveying and mapping are solved, and the reliability of complex sea area topographic survey is remarkably improved.

The invention provides an elevation map path planning method and system based on a terrain adaptive potential energy field, and relates to the technical field of path planning. Comprising the steps of calculating the gradient and roughness of the position of an intelligent agent, setting a terrain adaptive gain, dynamically adjusting the gradient and roughness, and obtaining a terrain adaptive repulsive force field and a composite potential energy field in combination with a basic repulsive force field; determining the motion direction of the agent based on the composite potential energy field, and determining the next position of the agent; in the process that the intelligent agent moves to the next position, whether local re-planning needs to be carried out on the next position of the intelligent agent or not is judged based on a preset environment change judgment rule; and when re-planning is needed, recalculating the terrain adaptive repulsive force field and the dynamic obstacle repulsive force field, updating the composite potential energy field, and re-determining the next position of the intelligent body. According to the invention, the terrain can be effectively sensed, the planning strategy is adaptively adjusted, and high precision, high efficiency and strong robustness are considered.

The invention relates to the technical field of hydraulic ring geological survey, in particular to a hydraulic ring geological survey system and method based on GPS positioning, and the method comprises the following steps: obtaining the three-dimensional coordinate data of a survey area through a GPS positioning device, generating an initial geological positioning point set, inputting the initial geological positioning point set into a three-dimensional modeling system, generating an initial three-dimensional geological model, and carrying out the three-dimensional modeling of the initial three-dimensional geological model. Dynamically correcting the initial three-dimensional geologic model through an environment compensation algorithm to generate a corrected geologic model, dividing a geologic abnormal region through a spatial clustering algorithm based on a rock stratum permeability coefficient abnormal gradient value in the corrected geologic model, comparing the geologic abnormal region with an engineering parameter threshold library to generate a visual investigation report, and performing the visual investigation on the geologic abnormal region. An internet of things monitoring node network is established, displacement monitoring is carried out on a geological abnormal area, if a monitoring value exceeds a preset threshold value, an early warning signal is triggered, and the method can be widely applied to the fields of hydraulic ring geological survey, engineering construction and disaster early warning and has remarkable technical advantages.

The invention discloses a scene semantic understanding-oriented surveying and mapping technical scheme intelligent generation method, and particularly relates to the technical field of surveying and mapping intellectualization, and the method comprises the following steps: constructing a task description vector to extract task feature parameters, obtaining dynamic environment perception data to recognize semantic feature tags, and generating structured representation; constructing a task-driven semantic vector field based on the task description vector and the semantic feature tag, distributing gravitation weight, calculating semantic weight entropy, dynamically adjusting the priority, finally determining a main control semantic path according to a main semantic sorting structure, and generating a surveying and mapping technical scheme matched with the current task. According to the method, the task description vector and the semantic vector field are constructed, the standardized expression of a surveying and mapping task target and dynamic association modeling of scene semantics are realized, a semantic weight entropy regulation and control mechanism is introduced, the problems of semantic priority misjudgment and scheme deviation are solved, and the accuracy, the stability and the intelligent level of surveying and mapping technical scheme generation are improved.

The invention belongs to the technical field of space remote sensing surveying and mapping, and particularly relates to a monitoring system and method for a front and rear view visual axis included angle and absolute direction of a surveying and mapping camera. The method comprises the following steps: S1, through side sway of a satellite platform, taking a time for sky imaging calibration as a reference time; s2, calculating a rotation matrix from a front and rear view ground camera measurement coordinate system to a star camera coordinate system at a reference moment; s3, calculating respective thermal deformation matrixes of the star camera coordinate system, the front-view camera measurement coordinate system and the rear-view camera measurement coordinate system; s4, obtaining a real-time rotation matrix from the measurement coordinate system of the front-view camera to the coordinate system of the star camera and a real-time rotation matrix from the measurement coordinate system of the rear-view camera to the coordinate system of the star camera at the measurement moment; and S5, carrying out arc cosine calculation on the two absolute pointing vectors to obtain a visual axis included angle between the front-view camera and the rear-view camera at the measurement moment. According to the invention, while the geometric accuracy of the surveying and mapping camera is ensured, the real-time performance of measurement and the comprehensiveness of subsystem monitoring are realized at the same time.

The invention belongs to the technical field of hydraulic engineering measurement, and discloses a seawall measurement method and system based on multi-source data fusion, and the method comprises the steps: collecting geological data and hydrological data through a data collection module; the route planning module formulates a route; the overwater data acquisition equipment and the underwater data acquisition equipment are used for monitoring; the auxiliary equipment provides a high-precision positioning reference; the meteorological data module obtains meteorological data; the data processing module processes the data; the three-dimensional modeling module carries out point cloud registration and DEM model construction; the comprehensive analysis module performs comprehensive evaluation and predicts potential problems and risks; when an abnormal condition or a potential risk is monitored, the early warning module gives an alarm. Multi-source data acquisition equipment such as unmanned aerial vehicle aerial survey, a laser radar, a multi-beam depth finder, a side-scan sonar, a shallow profiler and a micro-motion exploration instrument are integrated, seawall overwater and underwater full-dimensional data acquisition, processing, modeling and volume calculation are realized, and high precision and reliability of measurement results are ensured.

The invention discloses a bridge pile foundation construction perpendicularity real-time detection system and method based on an unmanned aerial vehicle group, and relates to the technical field of bridge pile foundation construction, and the system comprises a main detection unmanned aerial vehicle module which is used for vertically hovering above a pile hole and scanning along a hole wall to generate point cloud data; the slave positioning unmanned aerial vehicle group module is arranged on the periphery of the pile hole and provides positioning compensation for the master detection unmanned aerial vehicle module; the ground reflective target is arranged at the opening part of the pile hole and is used for aligning the initial positioning of the main detection unmanned aerial vehicle module with the point cloud coordinate system; the edge calculation terminal module is arranged on a construction site, receives and processes the point cloud data and calculates perpendicularity deviation; the result generation module visualizes the analysis result and outputs and feeds back the result to constructors, and the problems that a traditional method is low in efficiency and poor in precision and depends on manual work are solved.

The invention discloses a method for improving channel traffic volume based on an underwater map, and belongs to the technical field of water transportation traffic, and the method comprises the following steps: S1, constructing an underwater high-precision map, deploying an unmanned ship and an underwater robot, and collecting underwater topographic data by using a multi-beam sounding technology to construct a high-precision underwater map; s2, establishing a dynamic channel planning model, collecting hydrological data and ship traffic data of different time and places of a channel by using a big data analysis and machine learning algorithm, and generating a dynamic channel use scheme; and S3, integrating a ship navigation and management system, developing ship navigation terminal equipment, and integrating the dynamic channel planning model with a monitoring system of a channel management department. According to the invention, channel resource utilization is optimized, intelligent dynamic planning is realized, ship passing efficiency, navigation autonomy, navigation safety and system stability and reliability are improved, channel management scientificity is enhanced, and cooperation of ships and management departments is enhanced.

The invention discloses a unit type curved surface curtain wall installation device and method, and relates to the technical field of curtain wall construction, and the unit type curved surface curtain wall installation device comprises a plurality of detection units which are respectively installed on each control point on a unit structure body and are used for detecting actual measurement coordinates of the corresponding control points; the fine adjustment mechanism is connected to the lower end of the hoisting belt of the crane and is used for finely adjusting the position of the unit structure body; the control module is electrically connected to the detection unit and the fine adjustment mechanism; wherein the control module is configured to obtain actual measurement coordinates of each control point fed back by the detection unit; comparing the actually measured coordinates of each control point with pre-stored theoretical coordinates in a BIM model to obtain a deviation value of each control point; performing overall pose analysis based on the deviation value to obtain a pose deviation of the unit structure body in the space; generating a movement control quantity corresponding to each control point based on the pose deviation; and sending a movement control instruction to the fine adjustment mechanism according to the movement control quantity. The installation method has the effect of improving the installation efficiency.

The invention discloses a building facade three-dimensional surveying and mapping system and method based on an unmanned aerial vehicle and AI, and relates to the technical field of building surveying and mapping, and the system comprises a scene analysis module which is used for executing the information analysis of calibration scene information, and marking each surveying and mapping sub-region as a to-be-collected node; the acquisition planning module is used for calculating the node transition probability of each node to be acquired; the surveying and mapping search module is used for configuring a virtual unmanned aerial vehicle and performing selective iteration of surveying and mapping sub-regions by using pheromone concentration and heuristic factors; the clustering sharing module is used for carrying out three-dimensional surveying and mapping on the exterior facade of the building and establishing a shared information pool in a clustering manner; and the surveying and mapping optimization module is used for carrying out collaborative decision optimization on the local path and updating the acquisition path according to a collaborative decision optimization result. The technical problems of low surveying and mapping efficiency and large measurement error caused by difficulty in meeting large-scale and high-precision surveying and mapping requirements of modern buildings in the prior art are solved, and the technical effect of improving the surveying and mapping efficiency and precision of the buildings is achieved.

The invention discloses self-protection engineering surveying and mapping equipment which comprises a total station body and a tripod seat body, the total station body comprises a base fixing seat, a base rotating seat and a surveying and mapping body, a self-protection mechanism for self-protection is arranged outside the total station body, and the self-protection mechanism comprises symmetrical connecting vertical rods. The tripod base body comprises a tripod and a connecting base, and a mounting mechanism convenient to assemble and disassemble is arranged between the base fixing base and the connecting base. The to-be-corrugated PVC coating protective sleeve can extend out to cover the total station body by starting the two driving motors so as to realize self-protection of the total station body, and the connecting vertical rod and the lead screw can synchronously rotate along with the base rotating seat so as to avoid influence on the surveying and mapping visual field of the total station body; the arc-shaped mounting block can be extruded to be separated from the rectangular mounting groove by rotating the rotating ring clockwise, and the total station body can be lifted upwards to complete the disassembly, so that the total station body can perform another surveying and mapping conveniently.

The present disclosure provides a method and system for establishing a space-ground integrated real-time monitoring reference for dam deformation. The method includes: transmitting control instructions to a space-based Beidou system, a ground-based measurement robot system and a ground-based inverted plumb line system; obtaining a dynamic reference point position of a dam deformation area in real time through the space-based Beidou system; obtaining a spatial relative reference point position of the dam deformation area in real time through the ground-based measurement robot system; obtaining a static gravity reference point position of the dam deformation area in real time through the ground-based inverted plumb line system; and performing data fusion on the dynamic reference point position, the spatial relative reference point position, and the static gravity reference point position, and obtaining a monitoring reference value of the dam deformation area.

The invention discloses a surveying and mapping method based on remote sensing big data analysis, and relates to the technical field of remote sensing big data. During operation of the system, images and spectral data of a target water body area are collected through satellite remote sensing, unmanned aerial vehicle remote sensing or a ground sensor, the collected remote sensing data are preprocessed, and the target water body area is obtained through waveband combination or spectral line analysis; the method comprises the following steps: extracting characteristic parameters of a water body by utilizing spectral information in remote sensing data, carrying out multi-dimensional analysis on field data, calculating to obtain a water body turbidity coefficient Ct, an algal bloom coefficient Ca and an oil pollution coefficient Co, and analyzing the influence of potential pollution sources, agricultural runoff and industrial wastewater discharge on the water body by combining the remote sensing data and geographic information. And performing spatial-temporal change analysis on the water body pollution condition, identifying the trend of pollutant expansion or degradation, and based on the results of pollution assessment and spatial-temporal analysis, comparing the comprehensive water quality index WQI with a preset threshold to generate water quality level early warning information.

The invention discloses an anti-collision early warning system for a ship navigation bridge, and belongs to the technical field of bridge collision prevention. Comprising a monitoring module used for collecting ship information in an early warning area; the information processing module is used for obtaining ship poses, mast recognition and the height difference between the highest point of the mast and the water surface based on the ship information; the dangerous water area dividing module is used for calculating the longitudinal minimum safety distance and dividing the grade of the dangerous water area based on the longitudinal minimum safety distance; the early warning module is used for obtaining a comprehensive risk value based on the ship pose, mast identification and the height difference between the highest point of the mast and the water surface; early warning grades are divided based on the comprehensive risk values and the grades of the dangerous water areas, and anti-collision early warning is carried out based on the early warning grades. The method is superior to an existing bridge anti-collision technology in the aspects of monitoring precision, environmental adaptability, early warning timeliness, warning diversity and deployment economy.

The invention provides a method and a system for acquiring a simulation control point for surveying and mapping, and a medium, and is applied to the technical field of surveying and mapping. The method comprises the following steps: acquiring airborne GNSS positioning data acquired by an airborne GNSS, IMU measurement data acquired by an IMU, original point cloud data, acquired by a three-dimensional laser scanner, of a ground terrain of a measurement area, and reference station GNSS positioning data acquired by a ground reference station GNSS; determining flight path data of the unmanned aerial vehicle according to the airborne GNSS positioning data, the IMU measurement data and the base station GNSS positioning data; performing space-time registration on the flight path data and the original point cloud data to obtain point cloud registration data of the ground topography of the measurement area; and extracting ground points from the point cloud registration data to obtain a simulation control point set of the measurement area. Based on the scheme, the topographic surveying and mapping efficiency and precision can be improved.

The invention relates to the technical field of geographic information engineering, in particular to a surveying and mapping geographic system based on a remote sensing technology, which is characterized in that a multi-modal remote sensing data acquisition module synchronously acquires satellite remote sensing images, aviation LiDAR point cloud, unmanned aerial vehicle oblique photography and ground Internet of Things sensing data; the data fusion collaboration module carries out geographic coordinate calibration and position coding, and generates a surveying and mapping data set with unified precision in combination with an improved Mamba fusion model; the dynamic terrain high-precision inversion module performs three-dimensional terrain reconstruction, and completes terrain deformation monitoring in combination with an InSAR interference measurement technology and a time sequence analysis algorithm; the real-time error correction module constructs a BP neural network optimized by an ISSA algorithm, and dynamically corrects a terrain three-dimensional model and a terrain deformation result; the intelligent visual application module constructs a digital twinborn simulation model and automatically generates a standardized surveying and mapping result report. Therefore, the problems of weak multi-source data fusion, low terrain inversion precision and the like in the prior art are solved.

The invention discloses an unmanned aerial vehicle surveying and mapping information processing method and system for a prefabricated model, belongs to the technical field of unmanned aerial vehicle surveying and mapping, and is used for solving the defects of the existing unmanned aerial vehicle surveying and mapping technology in the aspects of data processing efficiency, model adaptability, data fusion precision, positioning stability and the like. And the technical problem that improvement needs to be carried out through technical innovation is solved. The method comprises the following steps: constructing a multi-modal prefabricated model based on unmanned aerial vehicle historical data collected in a historical period; according to the real-time environment parameters, the confidence coefficient weight of each element in the multi-modal prefabricated model is dynamically adjusted, and a dynamic prefabricated model is obtained; constructing a space-time coding change detection model; performing feature extraction on the real-time data of the unmanned aerial vehicle in the target area and the multi-modal historical data loaded in the dynamic prefabricated model to obtain a real-time multi-modal feature sequence and a historical multi-modal feature sequence; and inputting the real-time multi-modal feature and the historical multi-modal feature sequence into a space-time coding change detection model to obtain surveying and mapping change information of the target area.