30results about How to "High geometric accuracy" patented technology

The invention provides a surface mine live-action modeling system and method. The method comprises the following steps: automatically acquiring oblique photography images and laser point cloud data of a target mine area through an intelligent data acquisition unit; the data is stably transmitted back to a local data processing center through the data communication and transmission unit; performing automatic preprocessing and quality evaluation on the returned data through a data preprocessing and quality evaluation unit to form a quality control closed loop; a live-action three-dimensional model which is high in precision and supports real-time rendering is generated through a live-action three-dimensional modeling engine unit on the basis of a 3D Gaussian technology and by fusing multi-source data and mine semantic constraints; according to the method, the high-precision live-action three-dimensional model supporting real-time interaction is efficiently and automatically generated, and a powerful data basis is provided for mine digital twinning, safety production and intelligent decision making.

This invention relates to the field of microfluidic control technology and discloses a method and system for detecting and controlling microfluidic droplet formation. The method first constructs an ideal concentric ring geometric model by acquiring the target parameters of the microcapsule and establishes a force-shape coupling response matrix. Based on this, a preset velocity triplet is solved to generate the initial droplet. Then, droplet image sequences are acquired and fitted with real-time concentric ring groups. These are geometrically superimposed with the ideal concentric ring geometric model to generate a deviation ring domain, which is then decomposed hierarchically to obtain geometric deformation characteristic components. Finally, a coordinated velocity adjustment vector is calculated using the force-shape coupling response matrix, a composite fluid correction field is constructed, and the deviation ring ablation cycle is iteratively executed until geometric convergence is achieved. This invention effectively solves the oscillation problem caused by strong parameter coupling in multiphase flow fields by constructing a quantitative mapping and inverse decoupling mechanism between fluid and geometric shape, achieving coordinated and precise control of the microcapsule's external dimensions and internal structure.

The invention discloses a three-dimensional model reconstruction method based on a sheet metal bent part expansion drawing, and the method is characterized in that the method comprises the following steps: S1, analyzing a sheet metal expansion drawing, classifying the analyzed primitive entities, and storing the primitive entities in corresponding primitive sets; s2, primitive preprocessing: performing de-weighting, breaking and discrete processing on the primitive, and screening out a metal plate bending line; s3, closed contour searching; s4, judging whether a closed contour exists or not, if not, repeating S3, and if yes, entering S5; s5, contour segmentation and topology construction: performing inner row segmentation on the outer contour and the inner contour by using a bending line, and establishing a geometric adjacency relation between the inner contour and the outer contour; s6, bending deduction is conducted, specifically, a deduction value is calculated according to the workpiece and bending information, and contour deduction is conducted on the contour; and S7, performing three-dimensional reconstruction, and constructing a three-dimensional entity model. According to the method, the technical defects that three-dimensional model reconstruction cannot be correctly carried out on a complex sheet metal expansion drawing and the model size error is large are overcome.

This invention discloses a method for constructing a realistic depth estimation training dataset based on a 3D mesh and 3D Gaussian splashing, relating to the field of UAV aerial surveying technology. The method involves acquiring aerial image sequences using a visible light camera mounted on a UAV platform, and filtering and preprocessing the image quality; generating a dense point cloud and a 3D mesh; training and generating a 3DGS model based on camera pose and image sequences consistent with the 3D mesh; unifying the 3D mesh, camera pose, and 3DGS model to the same world coordinate system; and using Z-buffer rasterization to output pixel-by-pixel depth and validity masks; generating RGB images of the corresponding viewpoint in the 3DGS renderer; and encapsulating the dataset according to a recommended data organization structure. This invention can accurately generate realistic RGB and geometrically accurate depth, with strict pixel alignment between the RGB images and depth maps, adapting to the needs of real-world application scenarios such as UAV aerial surveying and actual terrain mapping.

The present application relates to the technical field of simulation sandbox, and particularly relates to a simulation sandbox data base construction method and device, wherein the method constructs compatible domain object models in the localization BIM forward design stage; according to unstructured drawings, localization BIM models and other data types, SHP data, geometric feature data and structured topology data are extracted or generated; simulation element data is obtained through field-level direct mapping, SHP data is converted twice and coordinates are unified, and then geometric feature completion, line segment merging and topology reconstruction are performed, object construction and labeling are completed based on the simulation element data, and simulation sandbox data base is obtained. The present application solves the problems of low construction efficiency, poor compatibility and insufficient geometric accuracy, realizes standardized data processing and efficient construction, can be directly loaded into a simulation sandbox, is suitable for airport and other scenes, and improves simulation accuracy and reliability.

The invention discloses a joint surgical operation data fusion processing method and system based on a multi-modal image, and relates to the technical field of image processing. The method comprises the following steps: performing motion state evaluation based on joint trajectory data of each posture point image in a multi-modal image, and dynamically acquiring a reference joint image of the multi-modal image based on a motion state evaluation result; performing image accuracy evaluation based on joint position data in each reference joint image, and dynamically correcting the joint data based on an image accuracy evaluation result; and forming a joint three-dimensional model based on the corrected joint data, performing dynamic region division based on joint evaluation parameters in the joint three-dimensional model, and dynamically adjusting the model geometric accuracy of the joint three-dimensional model based on a region division result and a joint category. Accurate quantitative analysis of the joint movement function, individualized high-precision three-dimensional model reconstruction and systematic improvement of clinical diagnosis efficiency are achieved.

This invention belongs to the interdisciplinary field of computer vision and 3D reconstruction, specifically relating to a generative 3D reconstruction method and system based on global constraints of location information. The method includes the following steps: S1, inputting multi-view UAV image sequences into a pre-trained feedforward neural network, which predicts sparse point clouds and the camera pose for each image; S2, extracting GNSS location information from the image sequence and using it as a global constraint to jointly optimize the sparse point cloud and camera pose, obtaining optimized point clouds and optimized camera poses in an absolute geographic coordinate system; S3, based on the optimized point cloud, employing a 3D Gaussian splashing method and utilizing the optimized camera pose for differentiable rendering optimization, generating a realistic 3D model with absolute geographic coordinates. This method, while ensuring 3D reconstruction accuracy, rapidly generates a geographic coordinate system 3D model, providing an efficient and scalable technical solution for city-level realistic 3D construction.

The present application provides an image stitching method, device, equipment, storage medium and product, the image stitching method comprises the following steps: fusing the shooting distance value between a plurality of shooting devices and the imaging target surface to generate the reference distance feature corresponding to each frame image; inputting the reference distance feature into a pre-trained stitching parameter prediction model to obtain the stitching parameter required for the current frame image stitching; based on the stitching parameter, the images collected by the plurality of shooting devices are initially stitched to form an initial panoramic image; the region of interest is set in the boundary region of the initial panoramic image, and the images in the region of interest are pre-adjusted; the pre-adjusted initial panoramic image is processed to obtain a final panoramic image. The method can fuse the distance between the shooting device and the imaging target surface in real time, and dynamically update the related stitching parameters according to the distance, combine the image features for fine fusion, and avoid the problems of stitching delay and obvious stitching effect fluctuation.

This invention relates to the field of image recognition technology, specifically to a tumor detection and recognition method and system based on MRI images. The method includes the following steps: screening candidate lesion regions based on a gradient orientation stability matrix; constructing a spatial projection displacement map; establishing a dynamic boundary framework by combining boundary variation rate; dividing into levels according to a sequence morphological consistency matrix; and performing differential reshaping to generate recognition results. This invention, by constructing a gradient orientation stability matrix and an anisotropy scoring mechanism, quantitatively evaluates the distribution of pixel vector angles; utilizes spatial projection displacement maps and boundary variation rate analysis to dynamically capture structural continuity features between slices; automatically eliminates artifact interference and constructs a high-fidelity dynamic boundary framework; divides into differential levels by combining a sequence morphological consistency matrix; and performs mean adjustment and edge reshaping for regions with different confidence levels. This improves the geometric accuracy and structural integrity of tumor lesion recognition under complex imaging conditions.

The utility model discloses a kind of internal gear gear grinding machine workpiece main shaft device, comprising: worm gear mechanism, and worm mechanism, wherein, the worm gear mechanism includes: workpiece main shaft, workpiece main shaft box is installed on the workpiece main shaft, index worm wheel is installed on the workpiece main shaft;The worm mechanism includes: double floating worm, the double floating worm is engaged with the index worm wheel, the end of the double floating worm is connected with power mechanism, and the power mechanism is installed on the workpiece main shaft box. By designing a set of meshing side gap adjustable high-precision double floating worm gear mechanism inside headstock, the precision of main shaft can be adjusted during working process, so that transmission efficiency is high, can bear larger load and torque, realize smooth transmission, and adjustment is simple, convenient for later maintenance.

This invention discloses a triaxial orthogonal array eddy current tensor probe and method based on liquid metal microchannels, belonging to the field of electromagnetic nondestructive testing technology. It includes an excitation coil and a receiving unit disposed within the excitation coil. The receiving unit employs an array of three-dimensional sensing units, each comprising: a cubic frame; and three coil groups respectively disposed on the X, Y, and Z faces of the cubic frame. The coils disposed on the X, Y, and Z faces of the cubic frame are spatially coupled at the intersection edges of adjacent faces using an interlaced weave structure, causing the equivalent electromagnetic centers of the three coil groups to converge in physical space to the geometric center point of the cubic frame. The probe of this invention has a compact structure and is suitable not only for planar surfaces but also for the inspection of pipes or curved workpieces by adjusting the bottom shape. It features a high signal-to-noise ratio and omnidirectional consistency.

The present application belongs to the technical field of high-performance steel production, and discloses a high-performance steel plate processing heat treatment equipment, which comprises a heating chamber, a support component for placing and fixing the steel plate is arranged in the heating chamber, the support components are arranged in multiple groups, the support components in the same group are located on the same vertical plane, and the support components in each group are arranged in parallel and along the horizontal direction; the support component comprises a clamping plate capable of adjusting the interval; the steel plate is changed from the traditional horizontal placement mode to the vertical state for heat treatment, so that the stress of the steel plate in the vertical direction is uniform, and the middle sag phenomenon caused by the weight is effectively eliminated. In the heating and cooling process, the temperature gradient of the steel plate along the thickness direction is more symmetrical, the thermal contraction behavior of the edge and the center region tends to be consistent, and the internal stress imbalance problem caused by asymmetric cooling is significantly reduced.

This application relates to the field of intelligent mining technology and discloses a method for constructing a digital model of an automated mining face. The method includes: collecting the coordinates of roadway targets and the dip control points of the cutting face; selecting three points to construct a reference plane reflecting the strike and dip of the coal seam; calculating the normal offset of the dip control points relative to the reference plane, constructing an interpolation function and performing spatial mapping to generate a coal seam floor surface; recursively generating multi-segment surfaces along the advancing direction and constructing a three-dimensional solid model in conjunction with the coal thickness; during the mining process, calculating the error between the measured data and the model, decomposing the error into trend and fluctuation terms, and introducing spatial attenuation weights to dynamically correct unmined areas. This invention, by combining a reference plane and offset mapping, takes into account both macroscopic occurrence and local undulation characteristics, and achieves closed-loop updating of the model through error decomposition, thereby improving the accuracy and environmental adaptability of the geological model.

The present application belongs to the technical field of forestry remote sensing monitoring and image processing, and in particular to a forest canopy density estimation method based on a lightweight gradient morphological perception network. The method comprises the following steps: step 1: obtaining a forest canopy remote sensing image dataset; step 2: constructing a tree crown segmentation model based on a lightweight gradient morphological perception network; step 3: training with a boundary-enhanced compound loss function; and step 4: using the trained model for inference and forest canopy density estimation. The present application can efficiently run directly on a consumer-grade unmanned aerial vehicle or a portable device, meet the needs of rapid forestry investigation, accurately capture the small gradient changes between tree crowns, effectively cut the adhered tree crown boundaries, significantly improve the geometric precision of segmentation, effectively filter out redundant information such as undergrowth background and non-tree crown shadows, solve the texture confusion problem, and have extremely high practical value.

The present application relates to the field of tunnel engineering geology and support design, and discloses a soft surrounding rock tunnel deformation risk discrimination method based on shear dilation-shear constitutive, comprising the following steps: constructing a nonlinear coupling model between the shear dilation angle and the shear stress, normal stress and joint parameters, and obtaining the shear dilation angle; establishing a volume strain rate discrimination formula; inverting the initial stress tensor field; reconstructing the irregular tunnel boundary; constructing a risk grade discrimination model and outputting the risk grade; matching the support scheme such as support stiffness, anchor rod parameters and spray layer thickness according to the risk grade; establishing a model to predict the risk trend; generating support adjustment suggestions; collecting monitoring data to dynamically correct the model parameters; and integrating all modules in the deployment system. The present application introduces the coupling relationship between the shear dilation angle and the shear strength, establishes a coupled constitutive discrimination model, and constructs a risk grading system and support correction strategy associated with support response, thereby realizing active early warning and dynamic adjustment of support stiffness in high-risk sections.

The invention discloses a handheld image point cloud and laser point cloud fusion detection method for a bridge prefabricated part. The method comprises the following steps: synchronously obtaining a laser point cloud and a sequence image of the prefabricated part; reconstructing the sequence image to obtain an image point cloud; performing normalization by taking the laser point cloud as a reference to obtain the laser point cloud and the image point cloud with consistent physical scales; initial attitude alignment of the two sets of point clouds is completed, rigid fine registration is carried out, the laser point clouds are corrected, and fused point clouds are obtained; generating a standard virtual point cloud; performing semantic segmentation on the fused point cloud, and outputting a point cloud set of each sub-component; extracting line-plane features of the key points; calculating the key geometric dimension of the prefabricated part, comparing the key geometric dimension with the standard virtual point cloud, and judging whether the dimension deviation meets a preset deviation or not; and evaluating the flatness quality of the surface of the component, and generating a three-dimensional full-field deviation chromatogram which covers the whole surface of the component. According to the invention, rapid, comprehensive and high-precision detection of the geometric dimension and the appearance flatness of the prefabricated part is realized.

The present application relates to the field of electronic technology, and discloses a method, device and equipment for underwater three-dimensional reconstruction of inspection well based on sonar ring scanning, the method comprising: obtaining sonar ring scanning data, attitude data of different depths of the inspection well and reference sonar ring scanning data of the inspection well; performing translational motion compensation processing on the sonar ring scanning data of each depth based on the attitude data of each depth and the reference sonar ring scanning data, to obtain first target data of the corresponding depth; extracting well wall points from the first target data of each depth, to obtain a first well wall point set of the corresponding depth; constructing a rotation matrix of the corresponding depth based on the attitude data of each depth; determining a second well wall point set of the corresponding depth in a global coordinate system based on the rotation matrix of each depth and the first well wall point set of the corresponding depth; and generating an underwater three-dimensional grid model of the inspection well based on the second well wall point sets of multiple depths, which can completely and intuitively restore the complex spatial topological form inside the inspection well.

This invention discloses a multi-objective Bayesian process parameter optimization method for selective laser melting (SLM) based on geometric feature weighting, belonging to the field of laser selective melting additive manufacturing technology. The method involves inputting an STL model of the part, extracting its geometric features, and assigning corresponding sensitivity weights based on these features to construct a spatial weight field. A weighted multi-objective function coupled with the spatial weight field is established with the optimization objectives of maximizing density, minimizing dimensional error, and minimizing surface roughness as the goals. Experiments are conducted on the process parameters based on Bayesian optimization to search for the Pareto front solution set under the weighted multi-objective function. The Pareto front solution set is then sorted using multi-objective decision-making to select the optimal parameter combination and generate a processing card for forming and manufacturing in a laser selective melting device. By explicitly writing geometric sensitivity into the weighted multi-objective function, a Pareto front that considers ρ, δ, and Ra can be obtained with a small number of experiments. Furthermore, the method can automatically weight parameters according to geometric features, simultaneously optimizing ρ, δ, and Ra while also considering geometric feature sensitivity.

The invention discloses a power transmission tower slope deformation monitoring method and system based on an unmanned aerial vehicle corner reflector, and relates to the technical field of remote sensing measurement and slope disaster monitoring. According to the method, sub-pixel-level fine registration of a multi-modal image is realized in combination with an SIFT-RANSAC algorithm, the spatial fusion precision of SAR and optical data is improved, a fractional order differential image enhancement method is combined with a fractional order ant colony algorithm to construct a marginal probability graph, and an Otsu algorithm is introduced to realize automatic coarse positioning of a corner reflector. Robustness and positioning efficiency of target extraction are improved, high-precision inversion and time sequence optimization of three-dimensional geodetic coordinates of the corner reflector are realized through combination of sub-pixel-level contour extraction and least square ellipse fitting with a bundle adjustment model, and geometric precision of a deformation monitoring result is improved.

The utility model discloses an anti-ellipse bearing ring production device which relates to the field of bearing rings and comprises a box body, a control panel is arranged on one side of the top of the box body, a supporting frame is arranged at the top end of the box body, and an adjusting assembly is arranged at the top end of the supporting frame. A clamping assembly is arranged in the top end of the box body, the outer side of the top end of the clamping assembly is sleeved with a bearing ring matched with the adjusting assembly, and clamping and rotating of the bearing ring are achieved through the clamping assembly. Under the matching action of the control panel, the supporting frame, the adjusting assembly and the clamping assembly, by optimizing the distribution of grinding force, the phenomena of vibration and uneven stress in the grinding process are remarkably reduced, the defect that the geometrical shape of the bearing ring is oval is overcome, the rotating precision of the bearing ring is improved, the service life of the bearing ring is prolonged, and the service life of the bearing ring is prolonged. And the rejection rate is reduced, the production cost is reduced, and meanwhile the production efficiency and the stability of the product quality are improved.

This invention provides a method for processing a tapered roller bearing cage. Step one: The sheet metal is cut, stretched, punched with window holes, edge-machined on the large end face, and then the bottom is cut to form a cage blank. Step two: The window beam is beveled to create a guide slope that contacts the rolling elements. The guide slope of the cage meets a first surface roughness requirement, while the remaining non-working surfaces of the cage only need to meet a second surface roughness requirement, which is higher than the first. Step three: A protective component is placed over the window holes of the cage blank, with the coverage area of ​​the protective component being larger than the beveled surface after finishing. Step four: The covered cage blank undergoes two shot blasting treatments. If the surface quality of the cage does not meet the requirements, the surface treatment process parameters need to be adjusted for a third shot blasting treatment. This method solves the problems of low efficiency and high cost associated with the existing all-around finishing process for bearing cages.

The invention relates to the technical field of aluminum alloy wire machining, and discloses a method for producing a 6013 aluminum alloy wire through a continuous casting and rolling process. The method comprises the steps that molten aluminum with the aluminum content not lower than 99.70% is smelted at the temperature of 700-760 DEG C, and then an aluminum-manganese alloy, an aluminum-chromium alloy, an aluminum-silicon alloy, copper, magnesium and an aluminum-titanium alloy are added for alloying; and then in-furnace melt purification treatment, online degassing and refining filtration are carried out, and then continuous casting, surface milling, uniform heating, rough rolling, finish rolling, online atomization quenching and coiling are carried out. The obtained 6013 aluminum alloy wire is good in surface quality and high in geometric dimension precision, the diameter deviation is within + / -0.5 mm, the tensile strength fluctuation is within 60 MPa, the elongation is good, the fluctuation is smaller than 4%, the product quality is stable, the production efficiency is high, the continuous length of a finished product roll is 5300 m per roll, continuous production of a small extruding machine, a drawing machine and the like can be achieved, and the yield is high.

The invention relates to the technical field of intelligent manufacturing and precision machining, and discloses a bearing intelligent machining process recommendation system based on a knowledge graph, which comprises a graph construction module, a process recommendation module, a data perception module, a quality prediction module, a feedback control module and a self-evolution module. The map construction module fuses multi-source data by using a large model and an alignment algorithm to generate a map, the process recommendation module combines hybrid retrieval and rule verification to generate a recommendation scheme and extract a target value, the data sensing module realizes time sequence alignment of multi-dimensional sensing data based on a workpiece ID, and the quality prediction module predicts a processing error in real time by using an LSTM network. The feedback control module calculates the compensation amount according to the prediction error and drives the machine tool to execute dynamic deviation correction, and the self-evolution module feeds back measured data to the map based on SPC analysis. According to the method, a closed loop of beforehand recommendation, in-process control and after-process iteration is constructed, the problems that process design depends on experience and lacks real-time correction are solved, and the bearing machining precision and stability are improved.

This invention provides a bridge-building machine and its operating method, relating to the field of bridge-building machines. The bridge-building machine includes at least two parallel main beams, the ends of which are supported on corresponding traveling devices. Each traveling device includes a traveling beam anchorable to the top surface of the bridge. The traveling device also includes two hanging wheel assemblies, at least two supporting wheel assemblies, and a drive assembly. The drive assembly is mounted on the traveling beam and includes a drive motor and gears, the gears meshing with a rack at the bottom of the main beams. Hydraulic support legs are also provided on both sides of the main beams, capable of supporting the ground. This invention improves the stability and efficiency of the bridge-building machine's movement.

The present application relates to the technical field of semiconductor detection, in particular to a Wien filter and a manufacturing method thereof. The Wien filter comprises a base which is a tubular member made of insulating material, a plurality of electrode areas formed on the inner side of the base, and a plurality of excitation areas formed on the outer side of the base, and each excitation area is provided with a spiral conductive path, so that a deflection magnetic field is generated by energizing the conductive path. The Wien filter of the present application forms an integrated structure of the Wien filter by directly forming a plurality of electrode areas on the inner side of a single base and directly forming a plurality of excitation areas on the outer side, completely eliminates the cumulative tolerance caused by assembly of the traditional split structure, improves the processing precision of the Wien filter, and thus improves the matching degree of the electric field and the magnetic field in the Wien filter.

The invention relates to the technical field of metal material connection, in particular to a glue riveting connection control system and method, and is used for connecting a plate mechanism which comprises a first plate, a glue solution layer and a second plate which are arranged in the thickness direction of the plate mechanism. The glue riveting connection control system comprises a punch mechanism, a positioning mold, a blank holder mechanism, fluid guiding structures and a control mechanism, the symmetrical fluid guiding structures are arranged on the opposite surfaces of a blank holder body and the positioning mold, the fluid guiding structures communicate with the external environment, and in the glue riveting process, the fluid guiding structures are connected with the punch mechanism. A pressure difference is formed between a high-pressure area generated by the glue solution layer due to pressure and the external environment, so that glue solution in the glue solution layer can directionally flow along the fluid guide structure, hydrostatic pressure generated by the glue solution layer is reduced, the geometric accuracy and the connection quality of a formed connecting piece after glue riveting connection are improved, and the service life of the connecting piece is prolonged. And meanwhile, while the glue liquid discharging efficiency is guaranteed, the uniform glue liquid layer thickness is kept, and the bonding strength of the glue riveting connection process is improved.

The invention relates to the technical field of semiconductor product processing, and discloses a silicon wafer grinding machine for semiconductor manufacturing, which comprises a lower fixing piece and an upper fixing piece, a drum; a driving assembly; and a plurality of groups of grinding assemblies are mounted in the rotary drum, the grinding assemblies are located on the outer side of the silicon wafer, and the drum body drives the grinding assemblies to be close to the edge of the silicon wafer. By arranging the rotary drum, the driving assembly and the multiple sets of grinding assemblies, under the action of the rotary centrifugal force of the rotary drum, gravity balls move outwards in the radial direction to drive the drum body to move downwards, and therefore the multiple grinding tiles are synchronously driven to be fed inwards in the radial direction at equal intervals, and uniform grinding of the edge of a silicon wafer is achieved; when ovality or local protrusions exist in the silicon wafer, only the protruding part makes contact with the grinding tile and is removed preferentially, so that the edge roundness of the silicon wafer is synchronously corrected in the grinding process, and the geometric accuracy of the silicon wafer and the alignment reliability of the follow-up process are effectively improved.

This invention belongs to the field of image processing technology, specifically relating to a method and system for detecting defects in drainage pipes based on image processing. The method includes: acquiring an image of the drainage pipe surface; extracting the highlight center skeleton line of the highlight region in the image; selecting multiple sampling points along the skeleton line; generating a vertical cross-sectional line at each sampling point and extracting cross-sectional data; fitting a Gaussian function model based on the cross-sectional data of each sampling point to obtain the optimal standard deviation and calculating the light band width; calculating the kurtosis coefficient based on the cross-sectional data of each sampling point; and weightedly fusing the light band width and kurtosis coefficient to generate a flattening factor, which is then compared with a threshold to determine the defect. This invention effectively decouples the three-dimensional deformation information from the two-dimensional grayscale features, significantly improving the accuracy of detecting flattening defects in drainage pipes.

This invention discloses a transmission line sag monitoring system based on multimodal fusion, comprising: a multimodal data acquisition and preprocessing module for acquiring multimodal raw data sets, performing data preprocessing, and generating a multimodal observation set; a physical parameter set calculation module for calculating and generating a physical parameter set; a multimodal collaborative feature modeling module for constructing and running an improved MCAT model to generate fused feature representations and initial geometric reconstruction results; a parameter-differentiable physical error supervision module for calculating observation residual terms and generating differentiable losses; a joint iterative optimization module for performing joint iterative updates; a sag and external damage discrimination module for generating a set of sag and external damage monitoring results; and a data fusion and alarm output module for performing visualization, historical trend query, and alarm output. This invention improves the accuracy and reliability of transmission line sag monitoring.

The invention belongs to the technical field of 3D scene reconstruction, and particularly relates to a 3D scene reconstruction method and system based on illumination adaptive plane representation, and the method comprises the steps: completing scene multi-view image collection and equipment parameter recording, extracting multi-scale image features, carrying out the targeted enhancement processing of a weak light image, and integrating all image features to provide high-quality data support; based on the scene range of the enhanced image, initializing a multi-layer grid structure, predicting the plane height through stable calculation, quantifying the plane perception effectiveness and reliability and storing related data, and providing structured plane representation for subsequent reconstruction; calling early-stage reconstruction data and the integrity matrix to identify a defect area, constructing a state input tensor fusing plane key indexes, and screening out an optimal plane set for defect supplementation through a double-depth Q network; and extracting features and position data of the optimal plane, projecting the data to a 3D space, and completing semantic decoding in combination with scene prior.