7results about How to "Realize 3D visualization" patented technology

The invention provides a deep and large foundation pit monitoring method and system, a program product and a storage medium, and relates to the technical field of foundation pit detection. The GPS positioning device collects foundation pit slope crest displacement data, the monitoring sensor network collects deep horizontal displacement data, the two data types complement each other, comprehensive information of surface and internal deformation of the foundation pit is provided, and the generated deep horizontal displacement curve chart visually displays the displacement conditions of the supporting structure at all depths. A potential weak area can be identified, a foundation pit excavation response data acquisition device is arranged at the maximum stress part, response data of a key position is obtained, and the quantitative index of overall deformation is provided by measuring and monitoring the position change of a central point of a sensor network and calculating the deformation amount of the foundation pit. According to the multi-dimensional and multi-type data acquisition and integration method, the description comprehensiveness of the foundation pit environment is improved, potential risks can be judged more accurately, and limitation caused by a single data type is overcome.

The application discloses a kind of based on sequence stratigraphy and seismic sedimentology's braided river channel reservoir fine characterization method, comprising the following steps: obtaining target area core, well logging and high-resolution three-dimensional seismic data;By analyzing the sedimentology mark and logging facies mark in the target area, to determine the sedimentary facies type and sedimentary microfacies division;Using lithology and well logging curve, using the theory of sedimentology, high-resolution sequence stratigraphy identifies sequence interface type and feature, and carries out high-resolution sequence stratigraphic sequence division;Division reservoir architecture interface;According to the internal structure of sedimentary system, sedimentary facies distribution, focus on high-frequency sequence and sedimentary body scale, generate the braided river channel reservoir fine characterization result of target area architecture unit.The present application effectively solves the deficiencies of prior art in reservoir fine description, boundary identification and parameter inversion, improves the efficiency and success rate of oil and gas reservoir development.

This invention provides a campus hardware and software integrated management method and system supporting remote operation via mobile devices. It collects status parameters and business data from heterogeneous devices in the campus teaching, security, and logistics domains, synchronizes them with a hybrid clock, and pushes them to a campus digital twin virtual model incorporating geographic information, achieving full-domain resource virtual-real mapping and 3D visualization. A sliding time window combined with a business weight correction mechanism is used to determine adaptive warning thresholds and cross-device linkage strategies based on device operating time and business scenarios. Mobile devices access the system via an end-to-end encrypted link, enabling remote hierarchical handling based on dynamic hierarchical permissions. Hierarchical warnings are generated when a single parameter exceeds limits or multi-dimensional correlation anomalies are detected. If remote handling is ineffective, maintenance work orders are automatically generated and resources are intelligently scheduled, forming a closed-loop management process. This solution breaks down campus hardware and software data silos, enabling deep mobile control and intelligent operation and maintenance, significantly improving campus management efficiency and emergency response capabilities.

A kind of full-view scanning instrument and detection method for rear face defect of circular-arc edge diamond tool, relate to tool defect detection technical field.Three-axis tool displacement table is arranged from bottom to top with B-axis precision rotary table, Y-axis precision guide rail, X-axis precision guide rail, tool holder pitch table and tool holder, rake face tool mechanism adopts gantry support to carry rake face focusing displacement table, variable magnification lens and rake face camera are installed in output end, rear face observation mechanism is arranged from bottom to top with lifting table, rear face focusing displacement table, observation pitch table and coaxial optical lens barrel, objective and rear face camera are installed, computer control and receive image, carry out image post-processing and three-dimensional visualization.Solve the existing circular-arc edge diamond tool rear face detection relies on manual, cannot realize panoramic observation, and the measured rear face is difficult to be in microscope focal plane all the time, and the problems of obvious brightness jump and splicing stripe exist in multi-view field image splicing.

The present invention discloses a method for mapping infrared thermal information to a three-dimensional point cloud, comprising: placing a virtual camera in a three-dimensional point cloud scene, setting it to the same posture parameter A as a camera for shooting infrared thermal images, and generating a point cloud image; preprocessing the point cloud image first, and then matching the infrared thermal image with the preprocessed point cloud image to correct the posture of the infrared camera; resetting the virtual camera in the three-dimensional point cloud scene, and rasterizing the point cloud within the current visual domain of the virtual camera; filtering the point information of the object, screening and retaining the points on the plane close to the camera; assigning the infrared thermal value on the infrared thermal map to the point on the point cloud of the corresponding pixel, and generating an infrared thermal value file of the point cloud. A system for mapping infrared thermal information to a three-dimensional point cloud is also disclosed. The present invention can solve the technical problem of accurately mapping a two-dimensional infrared remote sensing image to a three-dimensional point cloud model, and realize three-dimensional visualization of infrared remote sensing images.

The invention relates to the technical field of image processing, in particular to a three-dimensional image processing method for fundus examination, and the method comprises the steps: obtaining an initial OCT image and an initial OCTA image; processing the initial OCT image based on threshold segmentation, and extracting an initial retina image and an initial choroid image; identifying an image signal corresponding to the initial retina image, and performing algorithm fitting on the retina image signal through a multi-scale context aggregation network to obtain a fitted retina image; reconstructing the fitted retina image based on the retina bending radian and a preset bending radian value to obtain a reconstructed retina image; drawing a fundus three-dimensional structure image based on the reconstructed retina image and the initial choroid image; and identifying the initial OCTA image and an optic nerve papilla in the fundus three-dimensional structure image, and fitting the initial OCTA image and the fundus three-dimensional structure image by taking the optic nerve papilla as a center to obtain a final fundus three-dimensional image. According to the invention, the accuracy of the imaging result of the fundus three-dimensional image is improved.

The invention discloses an instrument quality inspection method and system based on an incremental 3D Gaussian point cloud, relates to the technical field of defect detection, and solves the problem that a two-dimensional detection result is difficult to accurately map to a three-dimensional Gaussian model. According to the embodiment of the invention, the instrument and the defect area are identified through the YOLO target detection algorithm, the sparse point cloud is generated by using the SfM technology, the 3D Gaussian primitive set is initialized, the rapid model construction is realized by using the incremental optimization algorithm, and the details of the defect area are enhanced by using the semantic perception density control technology. And a 2D detection result is accurately mapped to a 3D space in combination with a multi-view semantic fusion algorithm, and a target digital twin instrument model is constructed. According to the invention, three-dimensional visualization of industrial product defect detection is realized, the modeling speed and the data updating speed are improved, the model size is compressed, the efficiency, the accuracy and the visualization capability of industrial detection are improved, and the method is suitable for various scenes such as product quality detection, predictive maintenance, remote cooperation and the like.