798 results about "Mapping system" 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.

Approaches presented herein provide for the identification of differences between local map data, for a region of a physical environment, and observation or perception data generated by one or more machines or other such sources. In at least one embodiment, sensors on an ego machine can capture sensor data for a region in which the ego machine is located, and a language model on the ego machine can compare this sensor data, or perception data generated using the sensor data, against the local map data. The language model can generate a tokenized description of identified differences, in a domain-specific language. The tokenized description can be transmitted to a map management service that can compare these differences against differences identified by other machines, for example, to determine whether to update and redistribute at least a portion of the map data.

The invention discloses a data security monitoring method based on risk early warning, particularly relates to the field of data security, and comprises the steps of multi-source data acquisition, index system calculation, comprehensive threat scoring, dynamic risk judgment and response strategy execution. According to the method, a three-dimensional monitoring system is constructed through a multi-source heterogeneous data fusion analysis framework, a traditional single-dimensional monitoring blind area is eliminated, a quantitative score is generated by combining a three-layer nonlinear evaluation model with double-track baseline analysis and dynamic aggregation of basic parameters, double verification of historical rules and real-time fluctuation is achieved, the threat judgment accuracy is remarkably improved, and the threat judgment efficiency is improved. An intelligent mapping system of risk levels and disposal strategies is established, differential response plans are matched through three-level risk division, and a closed-loop feedback channel is synchronously constructed, so that high-risk events are quickly isolated for evidence obtaining, low-risk abnormities are accurately controlled, and a complete iterative loop of assessment disposal optimization is formed. And the active adaptive capacity and the response timeliness of the security defense system are enhanced.

The invention discloses an industrial system automatic fault diagnosis method based on a large language model. According to the method, a three-layer mapping system of industrial data, natural language description and knowledge reasoning is constructed, field multi-source sensor data are subjected to semantic conversion, and a quantitative calculation model based on a large language model is constructed based on historical data and logs. And a fault case is matched in real time with the help of a retrieval-enhancement generation technology to serve as a reference, the fault case and abnormal information are input into a knowledge reasoning model based on a large language model together, a structured logical reasoning chain is generated, and a diagnosis conclusion containing candidate faults, cause analysis and disposal suggestions is further output. Meanwhile, through user feedback and a reinforcement learning mechanism, the model and the knowledge base are adaptively updated, the defects of traditional static rules and expert experience are effectively overcome, the accuracy, interpretability and robustness of fault detection are remarkably improved, and the method adapts to complex and changeable working condition requirements.

Systems, methods, and computer-readable for endpoint integration and mapping are disclosed. A system can include one or more processing circuits configured to identify endpoints and access information. The processing circuits can generate an object package corresponding to the endpoint by initiating the object package based on an identifier corresponding to an endpoint type of which the object package is structured and mapping the access information to an access scheme corresponding to formatted requests to access the endpoints for protection data. The processing circuits can perform an endpoint request by invoking the object package using at least one formatted request and receiving output data with a response to the endpoint request by a DCDSI system. The processing circuits can further update a distributed ledger or data source based on the output data.

Certain examples described herein relate to a mapping system. An example mapping system has a differentiable mapping engine to receive image data comprising a sequence of images captured using one or more camera devices of an object as it navigates an environment and a neural network scene representation comprising a neural network architecture trained to map input coordinate tensors indicating at least a point location in three-dimensional space to scene feature tensors having a dimensionality greater than the input tensors. The neural network scene representation is communicatively coupled to the differentiable mapping engine and the differentiable mapping engine is configured to use the neural network scene representation as a mapping of the environment during operation of the differentiable mapping engine.

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 remote sensing surveying and mapping, in particular to an ecological environment surveying and mapping system and method based on remote sensing, and the system comprises a remote sensing image acquisition module, a preprocessing module, an environmental factor analysis module, an ecological environment parameter analysis module, a data fusion module and an output module. The remote sensing image acquisition module, the preprocessing module, the environmental factor analysis module, the ecological environment parameter analysis module, the data fusion module and the output module are connected in sequence; the preprocessing module comprises a radiation correction unit, a geometric correction unit and a noise removal unit; the data fusion module comprises a multi-source data fusion unit and a precision evaluation unit, and the output module comprises a visualization unit and a report generation unit. According to the method, accurate and reliable ecological environment data are provided by utilizing fusion of remote sensing images and environment data in combination with precision evaluation, and decision makers are helped to better understand and cope with ecological environment changes through visual display and report generation.

The invention discloses a vehicle-mounted cross-protocol data time sequence cooperative processing method, which comprises the following steps: establishing a unified time reference, and providing an accurate space-time coordinate system for heterogeneous network nodes by electing a global master clock and constructing a clock relation model and a periodic correction mechanism; systematic cognition and management of communication resources are realized, and a verified protocol capability table is generated by automatically identifying protocol types and variants; constructing an automatic mapping system from demand to execution, performing formalized packaging on a target scene by introducing a unified intermediate model, generating a cross-protocol mapping rule based on the model and a protocol capability table, and then forming a global scheduling table in combination with a unified time reference; the cooperative communication of all nodes is finally realized by using the global scheduling table, and the end-to-end delay is constrained within the preset range, so that the problem that the end-to-end time sequence in the vehicle-mounted heterogeneous network is uncontrollable is solved, and the controllability and reliability of the time sequence of the vehicle-mounted network are improved.

The invention discloses an optical transmission cross-domain service real-time configuration method, an optical transmission cross-domain service real-time configuration device and a computer program product, and aims to realize unified planning and dynamic output of cross-domain service end-to-end service quality targets by constructing a multi-domain quality strategy fusion model and integrating service quality strategies and resource states of different network domains. By collecting performance data of each domain in real time and combining with a time sequence analysis algorithm, the network performance degradation trend can be accurately identified; based on quality propagation path analysis of a cross-domain service topological relation graph, a quality degradation root can be quickly positioned, the influence range of the quality degradation root can be quantified, and the service quality stability of a key service in a resource limited scene is ensured; by establishing a cross-domain service quality mapping system, heterogeneous network performance parameters are mapped to end-to-end service quality indexes, and the cross-domain collaborative operation and maintenance efficiency is greatly improved. A continuous iterative optimization mechanism driven by reinforcement learning is adopted, adaptive adjustment of network resource allocation and a routing strategy is realized, and a cross-domain service quality dynamic optimization closed loop is formed.

The invention provides a geographic information surveying and mapping method, a geographic information surveying and mapping device and a geographic information surveying and mapping system. The method comprises the following steps: acquiring geographic data; inputting the track data of the unmanned aerial vehicle into the flight strip adjustment model to obtain flight strip parameter values; performing error correction on the laser data according to the air strip parameter value to obtain laser point cloud data; performing point cloud filtering on the laser point cloud data to obtain ground point cloud data and non-ground point cloud data; generating digital elevation model data according to the ground point cloud data, and extracting ground feature features according to the digital orthophoto map and the non-ground point cloud data to obtain ground feature data; and superposing the surface feature data and the contour line data under the same spatial reference to generate a three-dimensional real scene model of the target geographic area. The method solves the problem that in the prior art, geographic information surveying and mapping only depend on space coordinate points to distinguish different objects or scenes, so that surveying and mapping become more difficult.

The invention discloses a warehouse logistics visual monitoring system based on digital twinning, and belongs to the technical field of warehouse logistics fault monitoring, and the system specifically comprises the steps: collecting various data in a warehouse environment, including a warehouse architecture, an article position, inventory information, equipment state data and personnel activities, carrying out the preprocessing, and obtaining a database; constructing a hierarchical digital twinborn model and a constructed virtual-real space real-time mapping system on the basis of various data in the preprocessed storage environment, performing simulation prediction on operation of storage equipment by using the digital twinborn model, performing multi-dimensional monitoring on storage logistics, constructing a fault prediction model, and predicting and analyzing faults of the storage equipment; according to the method, virtual-real compensation optimization is carried out by using Kalman filtering and an optimization algorithm, and the precision of the digital twin model is improved, so that potential fault risks can be identified in advance, early warning can be given out in time, the equipment fault rate is greatly reduced, the maintenance cost is reduced, and the normal operation time of equipment is prolonged.

The invention relates to the technical field of digital surveying and mapping of constructional engineering and construction quality control, and discloses a house surveying and mapping system for constructional engineering, which comprises a data acquisition module for synchronously generating a panoramic image signal and an inertial measurement unit signal; the preprocessing module receives a panoramic image signal and an inertial measurement unit signal, and fuses the panoramic image signal and the inertial measurement unit signal through a visual inertial odometer to generate a pose calibration signal; the fusion modeling module receives the purification point cloud signal and the pose calibration signal, and generates building component parameterized data based on a deep learning component recognition algorithm; the result output module receives the building component parameterized data and generates a construction deviation analysis report based on a preset tolerance threshold value; the intelligent control module generates an acquisition quality feedback signal through a real-time quality evaluation algorithm to the data acquisition module so as to adjust a scanning path, and sends a dynamic sampling rate control signal to the preprocessing module so as to optimize a calculation load. The problems of low house surveying and mapping efficiency, poor modeling precision and weak field real-time feedback are solved.

The invention discloses a high-precision topographic mapping system and method based on multi-source remote sensing data, and relates to the technical field of topographic mapping, and the method comprises the steps: obtaining an optical remote sensing image, a radar remote sensing image, LiDAR point cloud data and meteorological index data of a target region, and carrying out the data preprocessing of the optical remote sensing image, the radar remote sensing image and the LiDAR point cloud data; obtaining the surface feature types of the target area and the coverage area of each surface feature type, and carrying out the weighted fusion of the optical remote sensing image and the radar remote sensing image of the target area according to the surface feature types of the target area and the coverage area of each surface feature type, and obtaining a self-adaptive fusion remote sensing image; according to the method, points in LiDAR point cloud data are divided into distinguished ground points and non-ground points, a digital elevation model is constructed according to the ground points in the LiDAR point cloud data, three-dimensional modeling of the terrain is performed on the basis of the digital elevation model in combination with texture information of a self-adaptive fusion remote sensing image, a three-dimensional terrain model is generated, and the terrain surveying and mapping precision is remarkably improved.

The invention belongs to the technical field of coal mine underground automatic driving, and provides a coal mine tunnel simultaneous positioning and mapping method and system based on multi-modal data fusion in order to solve the problem of reliable positioning and navigation of an automatic driving vehicle in a large coal mine underground tunnel. According to the invention, a high-precision mine environment three-dimensional point cloud map of a unified navigation coordinate system in a global range from a mine ground plaza to an underground haulage roadway can be established, and the six-degree-of-freedom pose of an underground autonomous vehicle is calculated. Accurate positioning of the underground automatic driving vehicle in a degraded environment such as the coal mine underground roadway is achieved, a coal mine underground roadway simultaneous positioning and mapping system is built, the posture state of the underground automatic driving vehicle can be accurately estimated in an underground space where global satellite navigation signals are lacked, the underground accurate positioning requirement is met, and the positioning accuracy of the underground automatic driving vehicle is improved. The method is of great significance in realizing application of intelligent unmanned transportation equipment in underground coal mines and promoting intelligent and unmanned construction of coal mine auxiliary transportation systems.

The invention provides a three-dimensional topographic surveying and mapping system based on a remote sensing technology, and relates to the technical field of data processing, and the system comprises the steps: calculating the zenith angle and azimuth angle of the sun according to the shooting time and geographic position information of remote sensing data; constructing a second mapping relation among the light source vector, the zenith angle and the azimuth angle by using the zenith angle and the azimuth angle of the sun; according to the normal vector information and the light source vector in the first mapping relation, the reflected light intensity of each area is calculated; based on calculation of the reflected light intensity and remote sensing data of each region, obtaining prior normal vector information of the surface of the target terrain region through inversion calculation; and correcting the normal vector information in the first mapping relation based on the prior normal vector information to obtain corrected normal vector information. According to the invention, the precision and reliability of three-dimensional topographic surveying and mapping can be improved.

Techniques for map refinement (e.g., tracking data refinement) by an inside-out location tracking system may include computing a transform from a reference point to an epipolar line using an Essential Matrix derived from a reference frame camera motion in a live frame, computing several appearance errors between a feature associated with the reference point and other projected and optimized features, using a perpendicular projection hypothesis and an optimized point generated on the epipolar line, and evaluating the appearance errors using a greedy, ordered optimization. If the appearance error is less than a predetermined quality threshold, the optimized point is retained in tracking data. Otherwise the tracking data may be reset at the reference point location for reinitialization. An updated map and associated map data reflecting updated optimized points may be provided, for example, to a client device, as well as returned to a visual inertial odometry system.

The invention discloses a marine surveying and mapping system based on deepwater exploration robot intelligent navigation, and belongs to the technical field of marine surveying and mapping. Comprising a data acquisition module for synchronously acquiring navigation positioning data and submarine topography data through multi-source navigation equipment carried by a deepwater detection robot and submarine measurement equipment; the navigation fusion module is used for realizing self-adaptive fusion of multi-source data and outputting initial pose estimation; the quality control module is used for carrying out quality evaluation and abnormity identification on the real-time surveying and mapping data; the path planning module is used for planning an optimal surveying and mapping path in real time and carrying out online adjustment according to the re-measurement requirement of the quality control module; the fault-tolerant control module is used for realizing multi-level navigation source fault diagnosis, starting a degraded navigation strategy when navigation is abnormal or fails, and ensuring that basic navigation and surveying and mapping functions can still be maintained; and the topographic surveying and mapping module is used for compensating and splicing submarine topographic data in real time by using the pose information provided by the navigation fusion module.

The invention relates to the technical field of geological surveying and mapping, in particular to a multi-source data fusion geological surveying and mapping system which comprises a multi-dimensional data collection module, a data calibration and synchronization module, a geological image enhancement module, a data fusion and model generation module and a visualization and interaction module. The data calibration and synchronization module carries out timestamp calibration and geographic position processing on data, the geological image enhancement module enhances geological images, the data fusion and model generation module fuses the processed data and constructs a geological model by using a modeling technology, and the visualization and interaction module provides a multi-dimensional data interaction platform. Through the geological texture recovery sub-module, visual quality of images is improved, reliability and accuracy during geological data and resource evaluation are enhanced, polarized light data are collected through the polarized image processing sub-module, key information such as surface material roughness is revealed, and surface and underground geological processes can be better understood and explained.

The invention discloses a building surveying and mapping system based on unmanned aerial vehicle remote sensing, and belongs to the technical field of building surveying and mapping. The system comprises a data acquisition module, a data preprocessing module, a feature extraction module, a spatial relationship analysis module and a dynamic change analysis module, and the data acquisition module is responsible for automatically acquiring multi-temporal remote sensing data covering a target area; the data preprocessing module is responsible for performing cleaning, geometric correction and multi-source data fusion on the acquired remote sensing data; the feature extraction module is responsible for extracting key features of the building from the multi-resolution remote sensing data; the spatial relationship analysis module analyzes the spatial distribution characteristics and the mutual relationship of the building group; and the dynamic change analysis module is responsible for monitoring and analyzing the dynamic change of the building group, including automatic identification of new building, dismantling and reconstruction conditions.

The invention relates to the technical field of building surveying and mapping, and provides an old building digital surveying and mapping system and method based on air-ground collaborative point cloud fusion, and the method comprises the steps: carrying out the blind area detection of space-time fusion data scanned by unmanned aerial vehicle equipment and a ground robot, and carrying out the blind area detection when the top point cloud data / bottom point cloud data have a blind area visual angle; starting a dynamic master-slave mechanism; according to the dynamic master-slave mechanism, equipment corresponding to the point cloud data with the blind area serves as slave equipment, equipment corresponding to the point cloud data without the blind area serves as host equipment, the slave equipment is controlled to execute point cloud filling, blind area compensation data are determined, and after the blind area compensation data are fused into time-space fusion data, the time-space fusion data are subjected to time-space fusion. And generating target space-time fusion data loaded to the visual interface. A closed-loop workflow from data acquisition to quality verification is constructed through a dynamic master-slave control mechanism, a multi-dimensional synchronization strategy and an intelligent compensation algorithm driven by architectural features.

The invention relates to the technical field of geographic information measurement, in particular to an engineering surveying and mapping system, which comprises a foundation settlement offset analysis module, which is used for carrying out data division according to a subarea range of a foundation based on three-dimensional point cloud data acquired in engineering foundation monitoring, analyzing offset distribution of foundation settlement, and calculating the offset distribution of the foundation settlement by matching junction points of adjacent subareas; the settlement relation is analyzed, and foundation partition deviation distribution characteristics are generated. According to the method, the subarea processing is carried out on the foundation, the coordinate distribution, the density, the settlement difference value and other multi-dimensional information among the points are extracted based on the three-dimensional point cloud data, and the settlement characteristics of the interior of the subarea and the adjacent area can be revealed more meticulously. The settlement deviation value distribution is comprehensively analyzed, the settlement direction and the accumulated deviation change are accurately positioned, and a quantitative basis is provided for the overall stability evaluation of the foundation. And performing normalization processing and weight distribution adjustment, performing optimization correction on an error concentration area, and realizing dynamic smooth compensation of inter-partition errors.

The invention discloses a human-machine motion mapping control system and method based on a hybrid LM-GA algorithm, and relates to the field of human-machine motion mapping control. According to arm joint position information obtained by an optical motion capture system, a corresponding arm joint rotation angle is obtained by using a geometric solution in inverse kinematics; secondly, joint angle data of the mechanical arm are obtained through an inverse kinematics iterative algorithm, and the joint angle data are verified in the virtual environment; then track data of the tail end of the mechanical arm is obtained through an optical motion capture system, the motion reproduction precision of the mechanical arm can be evaluated by comparing the track data of the tail end of the human arm and the track data of the tail end of the mechanical arm, and the accuracy and reliability of a human-machine motion mapping system are ensured; by continuously approaching the optimal solution, the iterative algorithm can gradually adjust the angle of the robotic arm joint until a predetermined end effector position is reached.

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 provides a fusion positioning mapping method using a single anchor point external confidence source. The method comprises the following steps: step 1, arranging UWB anchor points; 2, initializing the mobile robot; 3, processing a front-end point cloud map; step 4, processing UWB ranging information; step 5, key frame judgment; and step 6, optimizing a back-end factor graph. The invention provides a multi-sensor synchronous positioning and mapping system integrating a 3D laser radar, an inertial measurement unit and an ultra-wideband sensor, and aims to improve the positioning precision and trajectory estimation performance of a mobile robot in a complex environment. According to the method, a robust and efficient positioning scheme is provided by combining data of three sensors through a factor graph optimization method.

The invention provides an unmanned aerial vehicle emergency surveying and mapping system and method based on dynamic data analysis, and belongs to the technical field of surveying and mapping. The unmanned aerial vehicle emergency surveying and mapping system based on dynamic data analysis comprises an acquisition module, a division module, an analysis module and a determination module, the acquisition module is used for acquiring historical geographic data of a surveying and mapping area and the number of unmanned aerial vehicles; the division module is used for determining a plurality of sub-region groups according to the historical geographic data; each sub-region group comprises a plurality of cell regions; the analysis module is used for analyzing according to the historical geographic data and a preset comparison table to obtain surveying and mapping difficulty data of each cell region; the determination module is used for determining the surveying and mapping task load of each unmanned aerial vehicle according to the surveying and mapping difficulty data and the number of the unmanned aerial vehicles; by adopting the scheme, the overall surveying and mapping task detection efficiency of the unmanned aerial vehicle can be improved.

A swimmer emergency alerting, tracking, rescue assistance, and rip current mapping system includes a stand and a life preserver that is removably mounted to the stand. The stand includes a solar panel or other charger, and the life preserver includes a battery receiving power from the charger and a sensor that is driven by the battery, such as to detect a location of the life preserver. The stand and the life preservers may wirelessly communicate with another device, such as a user device, to provide information on a status of the stand and the life preserver. A drone may fly from the stand and collect images of a shore, and the drone may process the images to identify a rip current. The drone may use data from a watercraft identifying rip current to train the processing of the images.

The invention relates to the technical field of remote sensing images, in particular to a geographic information surveying and mapping system based on remote sensing images, which comprises a first remote sensing image acquisition module for acquiring first-level geographic information; the ground feature marking module processes the first-level geographic information and identifies and marks ground feature features; the map drawing module calculates a danger degree index and an importance index and draws a danger distribution map and an importance map; the safe area site selection module selects an optimal safe area and establishes a rescue site; the unmanned aerial vehicle path planning module plans an optimal path according to node positions, node weights and inter-node distances; the second remote sensing image acquisition module acquires and processes a remote sensing image by using the unmanned aerial vehicle to obtain second-level geographic information; the cloud computing module obtains and processes the geographic information to obtain a geographic information surveying and mapping map; and the geographic information display module displays the geographic information surveying and mapping map. According to the invention, accurate geographic information is mapped for rescue and reconstruction of post-disaster mountainous areas through multi-source satellite remote sensing images and unmanned aerial vehicle remote sensing images.

The invention provides a three-dimensional topographic surveying and mapping system and method based on a laser radar, and relates to the technical field of topographic surveying and mapping. Determining surveying and mapping characteristics of each surveying and mapping point in the laser radar point cloud data, constructing an adaptive decision value according to the surveying and mapping characteristics of all the surveying and mapping points, performing edge screening on the surveying and mapping points according to the adaptive decision value to obtain a surveying and mapping edge point set, and determining a surveying and mapping characteristic descriptor of each surveying and mapping point through the surveying and mapping edge point set; performing increment recovery on each surveying and mapping feature descriptor to obtain a corresponding coordinate increment, and reconstructing the surveying and mapping point according to the corresponding coordinate increment to obtain reconstructed laser radar point cloud data of the specified region; the three-dimensional terrain model is constructed through the reconstructed laser radar point cloud data, and the three-dimensional terrain surveying and mapping data of the designated area are obtained based on the three-dimensional terrain model, so that edge features can be effectively reserved when denoising processing is performed on the point cloud data, and the precision of the three-dimensional terrain model is improved.

The invention relates to the technical field of unmanned aerial vehicle cooperative surveying and mapping, and discloses an unmanned aerial vehicle cluster cooperative space-space-ground integrated surveying and mapping system which comprises a space-time reference construction module, a multi-source data acquisition module, a distributed fusion optimization module, a system adaptive reconstruction module and a four-dimensional model generation module. An internal high-precision space-time reference independent of the GNSS is constructed; uniformly modeling the whole surveying and mapping task into a space-time factor graph through a distributed fusion optimization module, and solving the space-time factor graph; and closed-loop adaptive adjustment is performed on the geometric configuration of the beacon network and the measurement data quality through a system adaptive reconstruction module. The technical problem that a traditional surveying and mapping system is poor in precision and reliability in a GNSS disturbed environment is solved, the robustness, autonomy and environment adaptability of the system are remarkably improved by constructing a self-consistent internal reference and introducing intelligent feedback control, and a globally consistent high-precision four-dimensional space-time model can be efficiently generated.