187 results about "Geographic coordinate system" patented technology

The invention relates to the technical field of photovoltaic inspection, in particular to an unmanned aerial vehicle photovoltaic inspection positioning method and system based on extended Kalman filtering, and the method comprises the steps: obtaining the GPS positioning data, attitude data and photovoltaic panel image data of an unmanned aerial vehicle in real time based on a sensor carried by the unmanned aerial vehicle; according to the image data of the photovoltaic panel, fault features of the fault photovoltaic panel are identified, and pixel coordinates of the fault photovoltaic panel are extracted; converting the pixel coordinates of the fault photovoltaic panel into initial position information under a geographic coordinate system; constructing an extended Kalman filtering model, inputting the positioning data, attitude data and initial position information of the unmanned aerial vehicle into the extended Kalman filtering model, and establishing a state vector and an observation vector; and iteratively calculating an optimal estimation value through an extended Kalman filtering algorithm according to the state vector, and outputting geographic coordinates of the fault photovoltaic panel. According to the invention, the method achieves the quick and precise positioning of the fault photovoltaic panel, improves the operation and maintenance efficiency of a photovoltaic power station, and reduces the operation and maintenance cost.

The invention relates to the technical field of artificial intelligence, in particular to a video GIS intelligent analysis method based on deep learning, and the method comprises the steps: detecting a target in a video in real time through a predefined target detection model, and generating a space-time mark which comprises a bounding box and category information; thirdly, associating target tracks of different cameras by using a dynamic graph model and a dynamic graph neural network to form a space-time ID and a track chain; then, combining a visual inertial odometer and a geographic information system to calibrate a homography matrix, and mapping the trajectory chain to a geographic coordinate system to obtain space-time trajectory data; then, constructing a neural network model and a trajectory generation model, and respectively predicting crowd density distribution and pedestrian motion trajectories; and finally, carrying out real-time alarm according to the track and the multi-level geo-fencing rule. According to the invention, intelligent analysis of video data is realized, target tracking and alarm capabilities are improved, and the method is widely applicable to the fields of crowd management and safety monitoring.

The invention provides an unmanned aerial vehicle target identification and positioning method and system based on multispectral fusion. The method comprises the following steps: firstly, acquiring multispectral image data, then analyzing the multispectral image data of multiple time phases into pixel-level data, then identifying an early infection area of the plant diseases and insect pests, then constructing a geometric distortion correction model, and then determining the relative position of the early infection area of the plant diseases and insect pests through multi-view space intersection calculation. And finally, fusing the real-time differential global navigation satellite system positioning data of the unmanned aerial vehicle and the relative position of the disease and insect pest early-stage infection area to output absolute geographic coordinates of the disease and insect pest early-stage infection area. According to the technical scheme provided by the invention, accurate conversion from a local coordinate system to a global geographic coordinate system is realized, an exact spatial position basis is provided for precise agricultural operation, and precise positioning of a pest and disease damage area is realized.

The invention relates to the technical field of bionic navigation orientation and positioning, in particular to a carrier course angle measuring method based on polarized light imaging in a non-Rayleigh atmosphere. Comprising the steps of real-time sky polarized light imaging, atmospheric polarization mode resolving based on Mueller matrix imaging, non-Rayleigh polarization information interference removal, polarization orientation resolving based on Rayleigh scattering, space projection conversion and sun position information resolving. Alignment information of the sun in a carrier coordinate system is obtained by utilizing a Rayleigh scattering model and actual sky polarization imaging, and then a carrier course angle is obtained according to the orientation of the sun in a local geographic coordinate system, so that an orientation function is realized; meanwhile, the error influence caused by image registration and time-sharing rotation measurement of the multi-view-field polarization detector and the interference of environmental factors on a single point are avoided, the method can adapt to sunny and cloudy weather, is also applicable to cloudy and other non-Rayleigh weather, and is wide in application range.

The invention discloses a high-precision map construction method and a related device, and relates to the technical field of automatic driving. The high-precision map construction method comprises the steps that image data representing the surrounding road environment of a vehicle is obtained, a semantic topology network diagram containing nodes and associated edges is constructed based on the image data, the nodes are information units which are extracted from the surrounding road environment of the vehicle and carry semantic and spatial features, and the associated edges are associated with the nodes. The associated edge represents a node relationship of spatial and semantic dimensions between the nodes. Then determining a target anchor point meeting a space reference condition from the semantic topology network diagram, then mapping the target anchor point to a geographic coordinate system in combination with the real-time pose of the vehicle, and finally determining the spatial position of each node according to the relationship between the target anchor point and the node in the geographic coordinate system so as to generate a high-precision map. Finally, real-time and accurate road environment structured information is provided for automatic driving, and safe and efficient driving of the automatic driving vehicle is guaranteed.

The invention discloses a map updating method and device, a server, a system and a medium, and is suitable for updating and maintaining a high-precision map, and the method comprises the steps: collecting the track information of a vehicle and a synchronous road environment image collected through a vehicle-mounted visual sensor; recognizing and extracting perception elements including lane lines and ground marks from the image; converting the identified perception elements from an image pixel coordinate system to a geographic coordinate system, and generating perception elements of geographic reference; correlation matching is carried out on the perception elements of the geographic reference and corresponding map elements in a map database, and the quality of each time of matching observation is evaluated to generate a corresponding matching probability value and a quality weight; based on the matching probability value and the quality weight, calculating the support degree of single observation on map element state hypothesis; fusing the observation support degrees from a plurality of vehicles and a plurality of moments, and calculating a posterior probability of map elements needing to be updated; and deciding whether to update the map elements according to the posterior probability.

The invention relates to the technical field of video monitoring, and discloses a Beidou video multi-behavior analysis early warning system and terminal, and a video acquisition module, which are used for constructing a time-space synchronous video monitoring frame, and preprocessing an acquired video stream by adopting a self-adaptive image enhancement algorithm to obtain a preprocessed video; the multi-modal feature fusion module is used for extracting pedestrian local space-time features from the preprocessed video by using a 3D-CNN network, acquiring human body feature coordinates in combination with an HRNet model, and mapping Beidou positioning camera coordinates and the human body feature coordinates to a unified geographic coordinate system to obtain a multi-modal feature set; the behavior recognition module is used for modeling an action sequence of a pedestrian limb based on an ST-GCN network, capturing a long-term dependency relationship in combination with a Transform encoder, and determining an abnormal behavior and a corresponding grade; the early warning module is used for triggering a corresponding early warning mechanism according to the abnormal behavior level and pushing abnormal information; the early warning efficiency is improved.

The invention discloses an electric power aerial patrol operation data mining method, and belongs to the technical field of intelligent patrol. Coordinate values and temperature data of target equipment are synchronously collected through an infrared thermal imager, a visible light camera and a vibration sensor carried by power equipment, infrared coordinates and visible light coordinates are projected to the same geographic coordinate system through affine transformation, space registration is achieved, continuous wavelet transformation is conducted on collected vibration signals, and the temperature of the target equipment is obtained. The method comprises the following steps: extracting vibration feature vectors including global vibration intensity, wavelet energy spectrum and wavelet entropy, calculating the weight of each feature through image quality, carrying out weighted fusion to calculate a state index representing the health state of equipment, judging the state index according to a dynamic threshold value, judging that the equipment is abnormal if the state index exceeds the threshold value, and judging that the equipment is abnormal if the state index does not exceed the threshold value. And a feedback mechanism is triggered to collect data again to monitor the trend, otherwise, the data is stored for subsequent analysis. According to the invention, the precision and reliability of abnormal state identification in electric power aerial patrol operation and the robustness to a complex field environment are significantly improved.

A positioning method, apparatus, and computer-readable storage medium for determining real-time device position. The method includes acquiring first pose information of a terminal based on a positioning request containing a visual image frame, where the first pose information comprises real pose information in a geographic coordinate system (GCS). First virtual pose information of the same visual image frame in a Visual Inertial Odometer (VIO) coordinate system is also acquired. A transformation matrix is generated based on the relationship between these two coordinate systems. Second virtual pose information of a visual image frame at a subsequent moment in the VIO coordinate system is transformed using this matrix to obtain transformed second virtual pose information. Real pose information of the terminal at the next moment is then determined based on this transformed information, enabling continuous, accurate positioning.

The invention discloses an on-site mixed loading explosive truck hole searching and accurate hole aligning method which comprises the following steps: acquiring a design coordinate set of each blast hole in a to-be-loaded area, acquiring a tail end coordinate of the tail end of a mechanical arm under a geographic coordinate system, and establishing a mechanical arm base coordinate system by taking a base coordinate as an original point; the joint angle and the expansion and contraction amount of the mechanical arm are obtained through iterative inverse kinematics with constraints; controlling the mechanical arm to carry out coarse alignment iteration until the coarse deviation is smaller than a first threshold value; obtaining a fine positioning result of the hole center and the hole axis direction; calculating the fine deviation of the tail end hole aligning assembly relative to the hole center and the hole shaft; after a hole alignment completion signal is output, triggering insertion of a charging conduit and checking of a charging interlocking condition; and when the interlocking condition is met, the charging operation is executed. The GNSS RTK, the laser radar and the 3D structured light camera are fused, quick positioning and alignment of the blast hole are achieved, and the charging efficiency and safety are greatly improved.

The invention discloses an automatic construction method and system for a three-dimensional model of a transformer substation, and belongs to the technical field of digital modeling of a power system. The method comprises the following steps: acquiring point cloud data of a transformer substation through oblique photogrammetry and three-dimensional laser scanning; performing denoising, compression, resolution unification and multi-source fusion preprocessing on the point cloud; equipment segmentation extraction is realized based on space cutting, normal vector change and morphological characteristics; fPFH feature extraction, RANSAC coarse registration and KD-ICP fine registration are adopted to complete equipment identification and registration; a coordinate system conversion strategy is unified to a geographic coordinate system, and a standardized three-dimensional model is exported. According to the method, the technical problems of low equipment identification precision and poor point cloud registration robustness in the prior art are solved, and full-process automation of three-dimensional modeling of the transformer substation is realized.

The invention provides a road element recognition method and device based on a vehicle-mounted point cloud image and a storage medium. The method comprises the following steps: adding time identifiers for an image sequence, point cloud data and original navigation data under a unified time reference; carrying out inertia and satellite integrated navigation calculation according to the original navigation data to obtain vehicle pose information at each time point; road elements in the image are detected and recognized, and the two-dimensional position and attribute text information of each road element in the image are obtained; performing cross-frame correlation tracking on the same road element to obtain a pixel coordinate sequence of the road element in the multi-frame image and a corresponding camera pose sequence; three-dimensional coordinates of all the road elements in the geographic coordinate system are obtained through triangulation calculation, and road element data containing the three-dimensional coordinates and attribute information are output. According to the invention, the automatic identification and three-dimensional positioning precision of the road elements can be improved, the large-range acquisition efficiency is improved, and unified structured road element data is formed.

The invention relates to the technical field of unmanned aerial vehicles, and discloses a detection method and an electronic device based on a mooring platform unmanned aerial vehicle, and the method comprises the steps: obtaining visible light, infrared, laser radar, positioning and inertial measurement data; constructing a local geographic coordinate system and realizing space projection and time sequence synchronization of multi-modal data; performing dynamic weighted fusion on each modal feature through a multi-modal cross attention fusion network to generate a high-dimensional semantic feature map; and performing target detection and thermal anomaly discrimination based on the feature map. The electronic device comprises a multi-modal sensing unit, a space-time alignment module, a time synchronization module, a multi-modal fusion module and a target discrimination module. According to the invention, through a unified space-time alignment and adaptive fusion mechanism, high-precision and high-robustness comprehensive detection can still be realized under severe conditions such as dark light, haze or shielding, and long-time stable operation is guaranteed by relying on a mooring platform.

The invention belongs to the field of acceleration measurement, and particularly discloses a multi-acceleration-sensor data fusion method and system, and the method comprises the steps: obtaining acceleration signals measured by each accelerometer when a preset acceleration signal is inputted into calibration equipment when an accelerometer assembly composed of N accelerometers is disposed on the calibration equipment, the measuring ranges of the N accelerometers are complementary to the noise level range; considering the inclination angle error of the rotary table, the installation angle error of each accelerometer and the non-orthogonal error of each accelerometer, the coordinate system of each accelerometer is converted to the same geographic coordinate system, and each accelerometer is calibrated by combining the acceleration signal measured by each accelerometer and the input preset acceleration signal. Obtaining calibration parameters of each accelerometer; the calibration parameters are used for compensating acceleration signals measured by the accelerometers. According to the invention, large-dynamic-range acceleration measurement is realized.

The invention discloses an unmanned aerial vehicle image intelligent perception plotting method and system based on view GIS fusion. The method comprises the steps that a sequence image of a target area is collected through an unmanned aerial vehicle platform; target detection, classification and tracking are carried out based on deep learning, and target pixel coordinates are identified; constructing an intelligent mapping model from a pixel coordinate system to a geographic coordinate system to realize geographic positioning of a target; precise space calibration is carried out on the illegal target; and in combination with space calibration, interactive plotting and visualization of target illegal behaviors are realized at a WebGIS end, and a structured law enforcement evidence packet is formed. According to the method, the POS data and the visual information are deeply fused, the dynamic projection plane estimation technology is adopted, the geographic positioning precision better than that of a traditional method is achieved, the method has obvious advantages especially in complex environments such as urban areas, and high positioning precision can be achieved.

The invention relates to an identification method and system for a hydrothermal alteration zone in carbonate rock construction, and belongs to the field of remote sensing geological prospecting, and the identification method comprises the steps: obtaining and preprocessing a spaceflight hyperspectral remote sensing image of a to-be-identified region, and obtaining surface reflectance data; mineral component analysis is carried out based on the surface reflectance data, carbonate mineral dominant pixels are marked, and a binary mask array after assignment is generated; extracting hydrothermal alteration information and generating an information intensity array according to the assigned binary mask array; performing binarization processing on the information intensity array according to a preset threshold value to generate a binary logic array; and converting the binary logic array into a geographic space vector area file based on an original image geographic coordinate system, and taking the geographic space vector area file as a hydrothermal alteration zone identification result. According to the method, rapid and accurate identification of the hydrothermal alteration zone in the carbonate rock area can be facilitated.

The invention provides an electric power project progress identification method based on integration of a live-action three-dimensional GIS (Geographic Information System) and a BIM (Building Information Modeling), which comprises the following steps of: acquiring a multi-view image of a construction site by utilizing oblique photography of an unmanned aerial vehicle, and constructing a live-action three-dimensional GIS model based on the image; mapping an electric power engineering BIM design model of a construction site to a geographic coordinate system which is the same as the real scene three-dimensional GIS model to obtain a fusion model; based on an artificial intelligence image recognition algorithm, engineering components are detected for the images, and detection results are mapped to the fusion model according to image positioning information; correspondingly comparing the actual installation state with a component in a BIM design model, and generating construction progress information of a component level; and displaying the fusion model in a three-dimensional visual platform, and comparing the construction progress information with a preset planned progress. The real-time performance and accuracy of progress monitoring are remarkably improved, personal errors are reduced, and the project management efficiency is improved.

The invention relates to the field of tunnel construction, and discloses a shield tunnel construction progress prediction system and method based on LSTM. Comprising a data acquisition layer, a data processing layer, a progress prediction engine, a dynamic feedback module, a risk coupling module and a decision support module. According to the system, multi-source heterogeneous data are collected, time sequence fusion and data enhancement are carried out, multi-target prediction of progress, tool wear, settlement rate, cost deviation, carbon emission and the like is achieved based on an LSTM model with physical constraints in the prediction stage, and self-adaptive correction is achieved through deviation detection, local retraining and uncertainty estimation. The prediction engine further introduces a transfer learning and federated learning mechanism to solve the problems of insufficient new project data and cross-project model generalization; the decision support module is additionally provided with a BIM and GIS visualization and active intervention unit, a prediction result is visually mapped to a three-dimensional model and a geographic coordinate system, a construction parameter adjustment suggestion is automatically generated when the prediction deviation is too large, and closed-loop linkage of prediction and control is achieved.

The invention provides a winter wheat leaf area index estimation method and system based on unmanned aerial vehicle remote sensing, and the method comprises the following steps: S1, data acquisition: obtaining unmanned aerial vehicle multispectral remote sensing image data of a research region, and collecting corresponding field actual measurement data in different growth periods of winter wheat; according to the winter wheat leaf area index estimation method and system based on unmanned aerial vehicle remote sensing provided by the invention, through the step design of S1 to S7, especially the collaborative cooperation of data preprocessing, data fusion, model construction and optimization, during use, on one hand, the leaf area index of the winter wheat can be estimated; in S2, splicing and geographic coordinate system embedding processing are carried out on unmanned aerial vehicle multispectral remote sensing image data, spatial positions of different wavebands can be automatically aligned, the problem that the number of rows and columns of multiband data is inconsistent is solved fundamentally, and a spatially unified data source is provided for subsequent vegetation index calculation and feature extraction.

The invention relates to the technical field of submarine cable monitoring, and provides a submarine cable anchor damage real-time early warning system based on multi-sensor fusion and a collaborative decision method, and the system comprises a multi-source sensor data obtaining module which obtains vibration data, strain data, sonar data and visual data of a submarine cable; the edge calculation module is used for carrying out preprocessing and feature extraction on the vibration data, the strain data, the sonar data and the visual data; the space-time alignment module is used for mapping the vibration data, the strain data, the sonar data and the visual data to a unified geographic coordinate system and carrying out data space-time alignment; the joint decision judgment module is used for calculating and outputting a risk probability according to features extracted from the vibration data, the strain data, the sonar data and the visual data; and the grading early warning module performs grading early warning according to the risk probability output by the joint decision judgment module. According to the invention, comprehensive and high-precision acquisition of monitoring signals can be realized, and accurate identification, advanced early warning and active protection of anchor damage risks can be realized.

The invention discloses an ecological product value analysis method and system based on multi-source data fusion, and relates to the technical field of ecological product value analysis. Original ecological data are divided into two-dimensional space grid units according to a fixed scale through a space grid construction and index unit; according to the method, automatic mapping from an actual geographic coordinate system to an analysis grid unit is realized, so that multi-source data has a unified projection basis in space, the problems that multiple data source space references are inconsistent and results are difficult to transversely compare in original ecological evaluation are solved, and a strict space organization structure is provided for subsequent ecological supply modeling. In the process of mapping the ecological indexes to the grid units, the system designs a neighborhood interpolation-based mechanism for averaging and filling multiple observation points and invalid units, so that the problem of local deficiency caused by non-uniform distribution of the observation points or influence of shielding on remote sensing data in field sampling is effectively relieved, and the integrity and analysis reliability of a spatial expression matrix are improved.

The application discloses a 4D video generation method fusing monocular vision and terrain elevation data, comprising the following steps: acquiring video frame images and corresponding camera pose data collected by a monocular camera; acquiring terrain elevation data of a target area, and constructing a three-dimensional elevation network model; based on the camera pose data, establishing a ray projection model for pixels in the video frame images, calculating the intersection of the rays and the three-dimensional grid model, and obtaining the reference distance from the monocular camera to the ground surface corresponding to the pixels; generating an initial relative depth map of the video frame images by using a depth estimation model; selecting high-confidence ground pixels from the video frame images as reference points, taking the reference distance corresponding to the reference points as the true value, and performing absolute scale correction on the initial relative depth map to obtain an absolute depth map; performing back projection calculation on the absolute depth map, the camera pose data and pixel color information to generate a three-dimensional point cloud, mapping the three-dimensional point cloud to a real geographic coordinate system, and generating 4D video data in time sequence.

The present application relates to the technical field of road construction, and more particularly to a method and device for calculating and visualizing the number of compaction passes by a road roller, and a medium, the method comprising: constructing a motion line segment according to GPS track points of the road roller, assigning the motion line segment a WGS84 geographic coordinate system, and then converting the WGS84 geographic coordinate system into a corresponding projection coordinate system; performing buffer zone analysis on the motion line segment to obtain a rolling surface; performing intersection query on a spatial database with the rolling surface as a spatial range to obtain a surface intersecting the rolling surface and a historical rolling surface; adding one to the number of compaction passes of the intersecting surface, performing clipping calculation on a region outside the intersecting surface, and continuing to perform intersection calculation with other historical rolling surfaces until a stop clipping condition is met; saving the calculation result to the spatial database and sending the calculation result to a front end; querying, by the front end, whether a layer corresponding to a machine number of the road roller exists according to the machine number, appending layer data content if the layer exists, or creating a new layer if the layer does not exist; and rendering a map patch color according to the number of compaction passes by the front end, so that a visualized number of compaction passes is obtained.

The invention provides a construction method of a virtual electromagnetic environment model and a test device. The construction method comprises the following steps: acquiring multi-dimensional test data of a mobile carrier in a target scene; taking a timestamp of the baseband signal data as a reference, performing synchronous fusion on the positioning data and the attitude data, and generating a synchronous data set; performing parameter estimation on the synchronous data set, and separating a relative channel parameter of the multipath component in a mobile carrier coordinate system; converting the relative channel parameters into absolute space parameters under a geographic coordinate system based on the instantaneous space state, and determining physical scattering source characteristics corresponding to the multipath component based on the relative channel parameters and the absolute space parameters; and generating a virtual electromagnetic environment model based on the absolute space parameters and the physical scattering source characteristics. In the mode, a structured virtual electromagnetic environment model containing absolute space attributes can be generated, and then high-fidelity digital reconstruction and reproduction of a complex dynamic electromagnetic environment in a real scene are realized.

The invention belongs to the technical field of industrial Internet of Things, and particularly discloses an equipment authentication method, system, equipment and medium based on the industrial Internet of Things, and the method comprises the steps: obtaining positioning precision data and a geographic coordinate system, and generating an equipment geographic position data set containing a positioning timestamp and a position data format in combination with a positioning signal source and a position updating frequency; according to the geographic position data set of the equipment, in combination with a preset network topology model, obtaining topology boundaries and connection nodes of a network area where the equipment is currently located and network area topology description; generating a dynamic encryption key associated with a geographic position according to a topology boundary and a connection node in the network area topology description in combination with positioning precision data; the invention aims to solve the problems of identity authentication complexity and low safety management efficiency caused by frequent change of geographic position of industrial Internet of Things equipment in a dynamic network environment in the prior art.

The invention provides a method and a system for quickly positioning railway intrusion personnel based on visual estimation, belongs to the technical field of target identification, applies an advanced monocular depth estimation and positioning method to rail transit, and solves the potential safety hazard of train operation caused by insufficient personnel intrusion position along the current railway. According to a pre-constructed target prior mapping relation between image pixel coordinates and actual geographic coordinates, after an invader is detected, the pixel coordinates of the invader are directly mapped to corresponding actual longitude and latitude positions; and if the target prior mapping information does not exist, calling a coordinate conversion algorithm according to the pixel coordinates to realize conversion from the pixel coordinates to latitude and longitude coordinates, realizing dynamic conversion from an image plane to a global geographic coordinate system, and obtaining actual latitude and longitude positioning of personnel invasion. According to the invention, high-precision positioning can be carried out on the invading personnel in the rail transit scene only by means of the monocular camera, so that the problem that personnel invasion is difficult to check in an existing system is solved, and the safe operation level of a railway is improved.

The invention discloses a three-dimensional geophysical exploration method for deep mineral resources. The three-dimensional geophysical exploration method comprises the following steps: planning an exploration area and preparing for early-stage exploration; complete multi-source data information is collected; data processing is realized through calculation and analysis; inferring a geologic structure from the resulting data; according to the method, the accurate measurement coordinate system is established, the exploration point location is determined in the geographic coordinate system, and detailed measurement and coordinate recording are carried out in combination with GPS equipment, so that the consistent coordinate system and accurate measurement values are conveniently provided, data are further accurately positioned, and accurate positioning of exploration work is ensured; according to the method, the scientificity of exploration results is improved, reasonable distribution and subsequent accurate positioning of exploration areas are promoted, accurate positioning and property speculation of deep mineral resources are further realized, accurate positioning of exploration targets is ensured, and reliable technical support is provided for exploration and development of the deep mineral resources.

The invention discloses a geothermal resource heat finding system based on remote sensing, hydrochemistry and geophysical prospecting means, and particularly relates to the technical field of geothermal exploration, comprising a multi-source data fusion platform architecture used for integrating and managing various geothermal exploration data; the system comprises a remote sensing heat anomaly extraction module, a water chemical quantitative evaluation module, a geophysical prospecting three-dimensional data volume collaborative analysis module and a standardized heat finding module. According to the geothermal resource heat finding system based on the remote sensing, hydrochemistry and geophysical prospecting means, deep fusion and collaborative analysis of remote sensing, hydrochemistry and geophysical prospecting heterogeneous data are promoted through a unified geographic coordinate system and a standardized data interface, and the phenomenon of data islands is reduced; by combining core algorithms such as a split window method, principal component transformation, geochemical temperature scale and three-dimensional interpolation, full-chain data support is formed from surface thermal anomaly to a deep thermal storage structure, positioning errors of a geothermal target area are reduced, depiction of thermal storage parameters is improved, and drilling risks can be reduced.

The invention relates to a data container (58) for describing room furnishing objects (4, 6, 8) in an interior (2), comprising - an object shape data vector (68) for describing a shape (72, 74, 76) of a room furnishing object (4, 6, 8) in the interior (2), and - an object transformation data vector (70) for describing a translation (78), a rotation (80) and a scaling (82) of the room furnishing object (4, 6, 8) within the interior (2), - a wall shape data vector (68) for describing a shape (72, 74, 76) of a wall (16, 20) delimiting the interior (2), and - a wall transformation data vector (70) for describing the translation (78), a rotation (80) and a scaling (82) of the wall (16, 18) delimiting the interior (2), characterised by - georeferencing data (86) for labelling a position (88, 90) of the room furnishing object (4, 6, 8) in a geographic coordinate system.

This invention relates to the field of data processing technology and discloses a method, apparatus, and equipment for monitoring surface deformation based on parameter search interval optimization. The method, based on the location information of multiple buildings in a geographic coordinate system and multiple SAR images, determines at least one building-related region and at least one non-building region within a target area. It then determines a first residual elevation search interval for the building-related region based on the roof elevation value of at least one target building within the building-related region; determines a second residual elevation search interval for the non-building region; and performs temporal InSAR phase calculation based on the first residual elevation search interval, the second residual elevation search interval, a preset deformation rate search interval, and multiple SAR images to obtain the surface deformation rate field and residual elevation field of the target area. This significantly improves data processing efficiency while ensuring the accuracy of the temporal InSAR phase calculation and obtaining accurate surface deformation rate and elevation fields.