454 results about "Photogrammetry" patented technology

The invention discloses a road slope modeling method based on an unmanned aerial vehicle inspection route, and relates to the technical field of unmanned aerial vehicle inspection. The method comprises the following steps: measuring the road slope length, the landform and the geological complexity, and selecting an adaptive unmanned aerial vehicle type and sensor combination according to the road slope length, the landform and the geological complexity; planning unmanned aerial vehicle surface inspection and shallow geological exploration routes, ensuring space matching, and synchronously obtaining high-resolution images and ground penetrating radar data; and processing image data through a photogrammetry technology, generating a digital elevation model and an orthophoto map, and combining to construct a three-dimensional model of the earth surface. Geophysical inversion is carried out on the ground penetrating radar data, reflection features are extracted and projected to the ground surface three-dimensional model, and space correlation between the ground surface and a shallow layer structure is established; the reflection features are digitalized and geometrically reconstructed into three-dimensional surface elements, the three-dimensional surface elements are embedded into an earth surface model to form a three-dimensional geologic body model, time dimensions are introduced, and a dynamic evolution model is constructed. According to the dynamic evolution model, the dynamic analysis of the slope stability is realized.

The invention provides an unmanned aerial vehicle oblique photogrammetry data intelligent processing method and system, and relates to the technical field of unmanned aerial vehicle photogrammetry, and the method comprises the steps: carrying out the preprocessing of an oblique photogrammetry original image, obtaining the exterior orientation elements of a camera, carrying out the scene semantic segmentation through a deep convolutional neural network, adaptively determining the optimal three-dimensional reconstruction parameters of each region, and obtaining the optimal three-dimensional reconstruction parameters of each region. On the basis of multi-view image matching, feature point parallax information is calculated to generate dense point clouds, different areas are processed by adopting an adaptive grid division strategy and a corresponding noise reduction algorithm, and finally, a three-dimensional scene model with real textures is constructed, so that high-precision three-dimensional reconstruction of different scene areas is realized.

The invention discloses a method for measuring an attitude angle of a free throwing object in a wind tunnel test through a binocular system, and belongs to the field of aerodynamics tests based on a photogrammetry technology. Comprising the steps that a binocular system is arranged in a wind tunnel, and internal and external parameters of the binocular system are calibrated through a cross scale; reconstructing the surface mark points of the calibration plate by photogrammetry outside the wind tunnel and establishing a local coordinate system; placing a calibration plate in the wind tunnel, wherein each vector of a local coordinate system is parallel or vertical to an incoming vector, and calibrating a wind tunnel coordinate system by adopting a resection method; carrying out photogrammetry and initial pose installation on mark points on the surface of a thrown object; acquiring each state image of the thrown object and reconstructing the three-dimensional coordinates of the surface mark points; taking the attitude angle of the thrown object as 0 degree as a reference state, and comparing the rigid body transformation relationship between the blowing state point cloud and the reference state point cloud to obtain attitude angle data. Alignment of a wind tunnel coordinate system and a binocular system coordinate system can be achieved, limitation of the appearance of the thrown object is avoided, and attitude angle data of the thrown object are calculated in a non-contact and high-precision mode.

The invention discloses a prediction method for quantifying the development degree of undermining diseases of rammed earth cultural relics, and relates to the field of cultural relic protection. The method comprises the steps of obtaining three-dimensional laser point cloud data and close photography three-dimensional model data of the rammed earth cultural relics; fusion of the three-dimensional laser point cloud model and the close photography three-dimensional model is realized, and a rammed earth cultural relic undermining disease three-dimensional model is constructed; based on the rammed earth cultural relic undermining disease stereoscopic model, quantitative indexes of undermining disease development are extracted, and an undermining disease development prediction model is constructed and optimized; and generating and outputting a quantitative report of the development degree of the undermining disease of the rammed earth cultural relics. According to the method, three-dimensional laser scanning and close photogrammetry are combined, differentiated routes are designed for areas with different heights, alignment of cross section contours of different models is realized based on Fourier description, a Poisson curved surface reconstruction technology is combined with a hole filling algorithm to complement missing parts of the models, spatial distribution and morphological characteristics of undercut diseases are intuitively presented, and the method is suitable for large-scale popularization and application. The change rule of undercut diseases along with time is quantified, and protection work is promoted to be changed from passive repair to active prevention.

The invention belongs to the technical field of glacier identification, and provides a system for monitoring glacier dynamics by an unmanned aerial vehicle low-altitude flight photogrammetry method, which comprises the following steps that: a glacier area unmanned aerial vehicle low-altitude photogrammetry module selects an unmanned aerial vehicle as required, and plans a route and parameters; the image preprocessing module is used for extracting key feature points from each image by using Pi * 4Dcap; fine three-dimensional information, an ortho-image and a glacier digital surface model DSM are obtained through point cloud generation and densification, and glacier dynamic information can be identified by utilizing the glacier digital surface model DSM after correction and interpolation processing are carried out on the three-dimensional information, the ortho-image and the glacier digital surface model DSM; calculating the elevation, volume, speed and mass change of the glacier based on a digital surface model (DSM) of the glacier; the glacier fissure is identified by utilizing the orthoimage and the glacier digital surface model DSM, and the system can comprehensively and accurately monitor the dynamic information of the glacier.

The invention provides a seawall terrain extraction method and system fusing a vehicle-mounted laser point cloud and an inclination model. The method comprises the following steps: forming a seawall range according to a seawall vector diagram and a satellite image; dividing a seawall range into a vehicle-mounted laser radar acquisition range and an unmanned aerial vehicle oblique photogrammetry range; acquiring a vehicle-mounted laser point cloud collected by a vehicle-mounted laser radar, and performing preprocessing and precision optimization on the vehicle-mounted laser point cloud; obtaining oblique photography image data collected by a five-splicing camera carried by the unmanned aerial vehicle, and generating an oblique photography model and an oblique three-dimensional model point cloud; extracting edge line elements and angular point feature points of a common overlapping area in the inclined three-dimensional model point cloud and the vehicle-mounted laser point cloud, and performing point cloud fusion based on the edge line elements and the angular point feature points; filtering the fused point cloud to screen seawall terrain point cloud data; according to seawall terrain point cloud data, resolution-adaptive digital elevation models are constructed for different areas of a seawall, and seawall structure features can be accurately represented.

The invention provides an aerial survey unmanned aerial vehicle route planning method and system, and the method mainly comprises four steps: map coordinate conversion, polygon processing, polygon decomposition, and path planning, and through the four steps, the aerial survey unmanned aerial vehicle route planning method employs a full-coverage path planning algorithm. After the boundary of the operation area and the coordinate information of the no-fly area are obtained, the air route is automatically generated to avoid the no-fly area and the path is shortest, so that the method is really applied to aerial photogrammetry operation, the reasonable shortest path can be planned for the operation area in any shape, the operation area cannot fly to the no-fly area, the turning frequency is reduced, and the working efficiency is improved. The phenomenon of repeated flight is avoided, and the operation efficiency of the aerial survey unmanned aerial vehicle is improved.

An autonomous drone swarm system and method utilizing artificial intelligence for coordinated operations comprises command drones equipped with large language model processors and subordinate drones coordinated through a hierarchical Queen-Worker architecture. The system processes natural language commands, generates autonomous mission plans, and coordinates multi-drone operations through an encrypted self-healing mesh communication network utilizing laser, radio frequency, and visual communication channels. Multi-modal sensor integration including electro-optical, infrared, LiDAR and photogrammetry, radio frequency, and chemical detection provides comprehensive environmental awareness while federated learning algorithms enable distributed coordination in signal-denied environments. The system implements configurable operational modes spanning tactical (15 minutes-2 hours over 2 to 5 square kilometers), operational (6-24 hours over 20 to 50 square kilometers), and strategic (7-30+days over 200 to 500 square kilometers) mission profiles for military and commercial applications. Fault-tolerant protocols ensure continued operation despite individual failures through automatic task redistribution and leader election procedures.

The invention discloses an unmanned aerial vehicle multispectral system error calibration and correction method based on a Boolean model, and belongs to the technical field of photogrammetry and remote sensing. Comprising the following steps: acquiring a multispectral image, acquiring original POS data, and performing band registration preprocessing on the image to generate a first orthoimage to confirm a system error magnitude; carrying out bundle method strict adjustment by using ground control points to obtain reference POS data, and solving seven-parameter conversion parameters; correcting the original POS data by using seven parameters and generating a high-precision orthoimage; and generating a simplified multispectral camera calibration and verification formula according to the difference value of the POS data before and after correction. Complex coordinate conversion is simplified into fixed value addition and subtraction operation, one-button calibration and batch correction of system errors of the multi-spectral camera of the unmanned aerial vehicle are achieved, the positioning precision is improved to the centimeter level from the meter level, dependence on ground control points is greatly reduced, and an efficient standardized solution is provided for large-scale engineering data processing.

The invention discloses a calibration board and wind tunnel feature point-based binocular system wind tunnel coordinate system calibration method, and belongs to the field of aerodynamic tests. Comprising the following steps: reconstructing surface mark points of a calibration plate by photogrammetry outside a hole and establishing a local coordinate system to obtain coordinates under the local coordinate system; a binocular system is arranged in the hole, and binocular internal and external parameters are calibrated through a special cross calibration ruler; arranging a plurality of circular feature mark points on the surface of the hole wall with overlapped visual fields of the binocular system; the calibration plate is correctly placed according to the geometrical relationship, so that each vector of the local coordinate system is parallel or perpendicular to an incoming vector, and the binocular system reconstructs global points of the calibration plate and registers the global points to achieve alignment of a measurement coordinate system of the binocular system and a wind tunnel coordinate system; reconstructing a three-dimensional coordinate of the fixed point in a wind tunnel coordinate system through a binocular system; and in a subsequent test, adopting resection to realize the recalibration of the wind tunnel coordinate system. According to the invention, high-precision and high-efficiency alignment requirements of a measurement coordinate system and a wind tunnel coordinate system of a binocular system can be met.

The invention relates to the field of rock mass structural surface recognition, in particular to a high and steep slope rock mass structural surface intelligent recognition method based on double clustering. According to the method, high-precision image data of a high and steep slope is obtained through an unmanned aerial vehicle approaching photogrammetry technology, and a three-dimensional digital model of the high and steep slope is constructed by utilizing a three-dimensional reconstruction and calculation technology. And calculating normal vectors of all triangular surfaces based on the triangular surface vertex information of the model, and performing clustering analysis to divide structural surface groups with similar occurrence. And further performing clustering analysis according to the surface center coordinates of the triangular surface, and dividing to obtain the structural surface. And finally, calculating the inclination angle, inclination direction and trend data of the structural surface through an accurate mathematical model. According to the method, the flexibility and the safety of high and steep slope structural plane measurement operation are enhanced, a measurement area of any scale can be completely covered, objective, accurate, rapid and low-cost structural plane intelligent identification and attitude data acquisition are realized, and the method has important significance in engineering application related to high and steep slopes.

The invention discloses an underwater target volume measurement method, device and equipment based on three-dimensional reconstruction and a medium, and belongs to the technical field of photogrammetry, underwater image processing and point cloud volume calculation cross, and the method comprises the steps: carrying out the video data collection of an underwater target through video collection equipment, and obtaining an original image with image format data; the underwater image enhancement method model based on depth estimation performs image enhancement on the original image to obtain an underwater enhanced image; reconstructing a real scene containing a target based on the underwater enhanced image; and based on the three-dimensional reconstruction point cloud, segmenting to obtain the to-be-measured target, and obtaining the volume parameter of the underwater target. According to the method, a three-dimensional reconstruction technology is utilized, a real target structure is restored, the measurement accuracy of the underwater target defect volume is improved, a reference standard is provided for later repair, the maintenance cost is reduced, and the operation safety of a hydraulic structure is guaranteed.

The invention relates to the technical field of slope stability analysis, in particular to a joint slope parameterized modeling and analysis method, which comprises the following steps of: performing photogrammetry by an unmanned aerial vehicle to obtain a surface grid model; constructing a controllable high-precision curved surface on the model; generating a three-dimensional joint slope model and a support model; and constructing a numerical model, and carrying out slope stability analysis. According to the method, parameterization application of the process is realized based on a Rhino-Griddle platform and a Python language through the modeling process of three-dimensional real terrain, curved surface construction, block generation, grid model construction and support structure model construction; a complex three-dimensional joint slope model and a support model can be quickly generated based on existing information, a model file which can be exported to 3DEC software is generated, obvious advantages are achieved in multiple aspects, and a real, efficient and universal technical path is provided for three-dimensional joint slope modeling and support effect analysis.

The invention relates to a multi-mode power transmission line state monitoring method and system based on thunder and shooting fusion, and belongs to the technical field of circuit monitoring. The method comprises the following steps: acquiring historical multi-mode power transmission line data, and constructing a lightning-shooting fusion power transmission line monitoring set according to the historical multi-mode power transmission line data; a power transmission line state monitoring model is obtained through multi-sensor fusion modeling according to the lightning shooting fusion power transmission line monitoring set; the real-time multi-mode power transmission line data is acquired, the real-time multi-mode power transmission line data is processed through the power transmission line state monitoring model to obtain the power transmission line state label, high-precision, all-weather and low-cost power transmission line state monitoring is achieved, and efficient and reliable technical guarantee is provided for safe operation of a power grid.

The invention provides a building three-dimensional automatic modeling method based on oblique photogrammetry data, and belongs to the technical field of three-dimensional modeling. The method comprises the following steps: converting measurement data into three-dimensional point clouds, and obtaining non-ground point clouds in the three-dimensional point clouds by adopting a CSF algorithm; non-ground point clouds are clustered on the XY plane by adopting a DBSCAN algorithm to obtain independent point cloud clusters corresponding to the building, and two-dimensional vector contours of the independent point cloud clusters are obtained by adopting an Alpha Shape algorithm. The independent point cloud clusters are horizontally sliced along the Z axis, a plurality of cross section point sets are extracted in the Z-axis direction, two-dimensional convex hulls of the cross section point sets are calculated, the intersection-to-union ratio of the two-dimensional convex hulls and preset convex hulls is calculated, and when the intersection-to-union ratio exceeds a threshold value for the first time and is kept stable, the boundary height of the building is obtained. And stretching the two-dimensional vector contour along the Z axis according to the boundary height to obtain a first three-dimensional model of the building. According to the invention, manual intervention can be reduced, and the building modeling efficiency is improved.

The invention discloses a photovoltaic panel defect detection and classification method based on a thermal infrared image, and relates to the technical field of photovoltaic panel thermal infrared detection.The method comprises the steps that S1, a thermal infrared camera carried by an unmanned aerial vehicle is used for obtaining thermal infrared photos of a photovoltaic power station with the longitude, the latitude and the attitude angle; the unmanned aerial vehicle is used for carrying a thermal infrared camera to obtain pictures with longitude, latitude and attitude angle information, and photogrammetry software is combined to generate an image, so that the dependence of electroluminescence detection on special illumination and an external power supply is eliminated, detection work can be carried out in a conventional environment, a photovoltaic panel can be accurately positioned, and the detection efficiency is improved. The problem of difficult positioning caused by a large number of panels and repeated textures is solved, meanwhile, a deep learning algorithm is applied, multiple fault types can be accurately recognized, key information output of fault panels is integrated, detailed basis is provided for operation and maintenance personnel, maintenance work is effectively guided, the overall efficiency and accuracy of operation and maintenance of the photovoltaic power station are improved, and the working efficiency of the photovoltaic power station is improved. And safe and efficient operation of the photovoltaic power station is ensured.

The invention belongs to the technical field of three-dimensional vision measurement, and relates to a deformation measurement method and system of a composite vision measurement unit. The internal and external parameters of the binocular measurement unit are obtained according to the image of the thrust vectoring nozzle target area calibration plate; obtaining coordinates of all binocular measurement units in the same reference coordinate system according to the internal and external parameters and the images of the thrust vectoring nozzles with the first coded mark points, and obtaining coordinates of all binocular measurement units in a unified coordinate system; and acquiring full-field deformation of all target areas of the thrust vectoring nozzle according to the speckle images of the target areas of the thrust vectoring nozzle in the working state and the coordinates of the unified coordinate system of all binocular measurement units. According to the invention, a digital image correlation method and a close-range photogrammetry technology are utilized to realize coordinate system unification and full-field deformation measurement. Compared with a traditional method, the measurement times and data processing steps are reduced, and the measurement efficiency is improved.

The invention relates to the technical field of photogrammetry, in particular to an earthwork measuring and calculating system based on an unmanned aerial vehicle surveying and mapping technology, which comprises a BIM (Building Information Modeling) route partitioning module, a point cloud quality evaluation module, a digital earth surface model generation module and an earth volume measuring and calculating module. According to the method, by analyzing geometric parameters such as gradient and curvature of a designed curved surface, intelligently partitioning and optimizing an unmanned aerial vehicle surveying and mapping route, and executing independent density clustering on point cloud data streams according to route partitions, dynamic evaluation and marking of spatial data quality are realized, and vegetation point clouds are removed in combination with image color information; the method comprises the following steps: correcting data by using an abnormal mark of quality evaluation, generating an accurate digital earth surface model, finally carrying out elevation deviation comparison on the accurate digital earth surface model and a designed curved surface, finely calculating the earth volume through a regular grid, and carrying out statistical analysis by using a root mean square error, thereby improving the accuracy and reliability of a measurement result.

The application discloses a kind of unmanned aerial vehicle photogrammetry and depth learning's field-gully-pond extraction method, belong to remote sensing technology and agricultural informatization technical field, method includes: using unmanned aerial vehicle carries multispectral camera and optical lens, obtains original image data by tilt photogrammetry technique;The original image data obtained is preprocessed, generates multispectral image (DOM) and digital surface model (DSM);From the spectral, topography and texture features of small watershed field-gully-pond system, construct the multiple extraction framework of U-net algorithm with built-in attention mechanism, image segmentation model supporting zero sample learning, multi-scale segmentation technology and shape feature extraction algorithm, carry out image segmentation, classification and interpretation, realize the fine extraction of small watershed field-gully-pond system;The design can improve the extraction accuracy and efficiency under complex terrain, applicable to current small watershed agricultural non-point source pollution migration trajectory simulation and farmland fine management.

The invention provides a photogrammetry integrated control method and system, and relates to the technical field of photogrammetry control, and the method comprises the steps: obtaining multi-source original data, such as a sequence image, an initial point cloud and a real-time attitude parameter; carrying out combined preprocessing of timestamp alignment, point cloud denoising and image distortion correction, and uploading key logs and quality indexes through a consensus mechanism for evidence storage; performing bundle adjustment to solve internal and external orientation elements, and calling block chain historical control points for verification and dynamic adjustment; generating an initial three-dimensional point cloud through dense matching; verifying the point cloud precision by using a high-precision check point, and feeding back a correction instruction when the point cloud exceeds the limit; gridding and texture mapping are carried out on the effective point cloud to generate a three-dimensional model, and achievements are partitioned and stored in edge nodes and are chained for evidence storage; the system comprises a multi-source data acquisition module, a data preprocessing module, an adjustment resolving module, a point cloud generation module, a point cloud verification module and a three-dimensional modeling module. The efficiency, precision and reliability of photogrammetry are effectively 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 discloses a mining area vehicle-mounted ore real-time detection and size estimation method and system. The method comprises the following steps: acquiring an ore image to be detected; an ore image to be detected is input to the improved YOLOv11-Miner model, the ore category is obtained, and the improved YOLOv11-Miner model comprises a spatial domain and frequency domain dual-domain mixing module, a boundary-semantic fusion enhancement module and a shielding perception multi-head attention module; and based on a monocular photogrammetry algorithm, converting the pixel coordinates of the ore category into an actual physical size, and obtaining the size of the ore. According to the method, the monocular photogrammetry algorithm and the dynamically calibrated camera parameters are combined, the pixel coordinates of the ore image can be converted into the actual physical size, and the accuracy of size estimation is remarkably improved.

The invention provides a building point cloud intelligent completion and feature extraction method based on oblique photography, and belongs to the technical field of three-dimensional imaging and laser point cloud. The method comprises the following steps: acquiring initial point cloud scanning data of a building, wherein the initial point cloud scanning data is measured based on a three-dimensional laser scanner; performing clustering on the initial point cloud scanning data to obtain a plurality of clustered initial point cloud distribution areas; for each initial point cloud data distribution area, calculating the point cloud data missing degree of the initial point cloud data distribution area through point cloud data feature extraction; and determining a point cloud completion mode of each initial point cloud distribution area according to the plurality of point cloud data missing degrees corresponding to the plurality of initial point cloud data distribution areas. According to the invention, the corresponding targeted point cloud completion mode can be intelligently selected according to the distribution characteristics of the initial point cloud data, and the integrity and accuracy of the three-dimensional point cloud data of the building are improved.

The present invention relates to the technical field of slope monitoring. Disclosed are a high-steep slope disaster monitoring method and system based on optimized views photogrammetry. The method comprises: acquiring initial data of a high-steep slope by means of a sensor and a GPS device, and constructing an initial three-dimensional model of the high-steep slope; acquiring accurate image data of each point of the high-steep slope by means of an optimized views photogrammetry device; on the basis of the accurate image data combined with an image processing technique, optimizing the initial three-dimensional model, so as to generate an optimized three-dimensional model of the high-steep slope; and establishing a real-time monitoring and early-warning mechanism, collecting the accurate image data of each point of the high-steep slope in real time, performing deformation analysis on the optimized three-dimensional model, so as to promptly find the deformation situation of the slope, and raising an alarm. In the present invention, optimized views photogrammetry is used, such that high-resolution image data can be acquired in a relatively complex area that is difficult to approach, and terrain features of a high-steep slope area can be clearly displayed, thereby providing more comprehensive and detailed information for monitoring and disaster investigation of a high-steep slope.

The invention relates to the technical field of photogrammetry, and discloses a photogrammetry space reconstruction method based on multi-source image fusion, which comprises the following steps: extracting an interior orientation element and an initial exterior orientation element, and establishing an image beam intersection constraint intensity model in an object space to calculate a constraint weight; monitoring a weight space change rate to identify a heterogeneous image connection area and extracting a high-weight image bundle as a geometric anchor point; a differential regularization item is applied to geometric anchor points to construct a stable geometric skeleton, a weight damping factor is utilized to restrain a low-weight image beam to execute conformal mapping correction, the image beam constraint strength is represented, the condition number of an adjustment method equation matrix is improved, numerical oscillation caused by difference of different-source sensors is restrained, geometric step of a fusion interface is eliminated, and the conformal mapping correction accuracy is improved. And geometric closing and seamless stitching of a multi-source image under a unified framework are realized.

The invention discloses a forest three-dimensional integrated reconstruction method fusing on-forest and under-forest images, and belongs to the technical field of forestry informatization, three-dimensional reconstruction and remote sensing. According to the method, two collection tasks with complementary functions are executed by deploying the same technology; an advanced unmanned aerial vehicle-based cross surrounding route is utilized to perform canopy surveying and mapping, and a crossing unmanned aerial vehicle is innovatively adopted to perform under-forest crossing collection. And carrying out independent reconstruction and high-precision registration on the two groups of homologous image data through a motion recovery structure algorithm, and finally generating a vertical structure integrated forest three-dimensional model. The result shows that the point cloud reconstructed by the CCO route is close to the airborne laser radar in integrity, and the individual tree parameters extracted by the integrated point cloud are highly related to the foundation laser radar. Through an innovative multi-view and multi-level data acquisition and fusion strategy and a single and economic photogrammetry technology, the method has the potential of obtaining comprehensive forest three-dimensional structure information, and a new method is provided for realizing large-scale and high-precision forest dynamic monitoring.

The invention relates to the technical field of stable anti-shake, and discloses a stable anti-shake device for photogrammetry and remote sensing, which comprises an external shell and is characterized in that an anti-shake mechanism is arranged in the external shell and is used for weakening disturbance of the outside to measuring equipment, and a power generation mechanism for supplementing power to the whole device is arranged in the anti-shake mechanism and is used for generating power to the measuring equipment. An anchoring mechanism for stabilizing the whole device is arranged at the bottom of the external shell, and a driving mechanism is fixedly connected to the bottom of the external shell and used for moving the whole device. Under the action of the anti-shake mechanism and under the guidance of the air guide assembly, air spirally accelerates along with the air guide groove to downwards impact the external shell and exerts downward pressure on the external shell when facing external wind power interference, so that the whole device is more stable, meanwhile, the air is guided into the suspension assembly, the holder for supporting the measurement equipment is suspended, and the measurement precision is improved. And the situation that the measurement equipment is influenced by influencing the anti-shake equipment by the outside world is weakened.

The present application relates to a kind of based on unmanned aerial vehicle photogrammetry suspension bridge sling cable force fast identification method, by being laid on the three-dimensional laser scanner of suspension bridge and collecting the point cloud data of suspension bridge, the intersection coordinates of main cable and sling and the form of main cable are obtained after the point cloud data collected by point cloud splicing and point cloud processing, and the intersection coordinates obtained are temperature corrected, then the intersection coordinates after correction are extended according to the relationship of pixel accuracy and the distance of unmanned aerial vehicle from main cable, obtain unmanned aerial vehicle flight point, to complete the planning of unmanned aerial vehicle route, the orthographic image of main cable section is collected by unmanned aerial vehicle, then image processing method is used to obtain the intersection coordinates of main cable and sling edge line, obtain the intersection coordinates of main cable and sling, obtain cable force calculation parameter, calculate sling force according to cable force calculation formula, based on unmanned aerial vehicle photogrammetry suspension bridge sling cable force fast identification method can make the daily cable force detection of suspension bridge more quickly, accurately.

The invention relates to the technical field of unmanned aerial vehicle photogrammetry, and discloses a three-dimensional model generation method based on unmanned aerial vehicle oblique photogrammetry. The method comprises the steps of obtaining an original oblique photography image set of an unmanned aerial vehicle and a terrain parameter set of a to-be-modeled area; performing multi-scale preprocessing on the original image set to obtain a first scale feature image set and a second scale feature image set; a textural feature evolution sequence is extracted from the second scale feature image set, shooting constraint initialization is completed in combination with the topographic parameter set, and an initial control constraint group is output; performing spatial feature reconstruction on the first scale feature image set according to the constraint group to obtain a three-dimensional topological feature vector set; performing multi-dimensional registration constraint on the vector set based on a similarity threshold value, and positioning an optimal registration path; performing topology correction by combining the path and the topographic parameter set, and outputting a corrected three-dimensional feature set; and if a preset condition is not met, incrementally updating the texture feature evolution sequence, and if the preset condition is met, outputting a target three-dimensional grid model.

The application discloses a high-precision earthwork measurement algorithm and system for constructing a three-dimensional model based on unmanned aerial vehicle aerial survey, and the method comprises the following steps: arranging image control points and check points in a to-be-measured area in advance; starting unmanned aerial vehicle aerial survey image data collection, and performing supplementary measurement on an obstacle-shielded area to obtain supplementary data; importing the aerial survey image data to generate a real scene three-dimensional model; finding an image control point mark position on the three-dimensional model and corresponding puncture points of actual measured image control points, converting model latitude and longitude coordinates into project coordinates after matching all the image control points, regenerating a three-dimensional model, and importing check point coordinate data to verify the model precision. Seed points are added to remove obstacles and restore the ground terrain, and then drawings and design elevations are imported to perform high-precision earthwork calculation, so that the problems of complex calculation operation, easy errors and large time consumption of manual operation combined with other software are solved, accurate data support is provided for earthwork construction, and the project construction period is saved.