879 results about "Coordinate mapping" patented technology

The invention belongs to the technical field of microwave measurement, and discloses an outer wall hollowing microwave reflection detection method based on multi-modal fusion, which comprises the following steps: carrying out multi-modal scanning on a building outer wall to be detected, obtaining visible light image data and infrared temperature distribution data of the outer wall surface, and carrying out space registration and coordinate mapping; a unified multi-modal fusion data set is formed; performing anomaly screening on the multi-modal fusion data set, and identifying a thermal anomaly region by analyzing infrared temperature distribution data; detecting a bump or crack area in combination with texture and morphology anomaly features of the visible light image data; performing information fusion on the thermal anomaly region and the bump or crack region, and extracting candidate detection regions of suspected hollowing; high-precision recognition and quantitative evaluation of the outer wall hollowing are achieved, and the precision and stability of outer wall hollowing detection are improved.

The invention relates to the field of computer vision, and particularly provides a table recognition reconstruction method and system, a terminal and a medium, and the method comprises the steps: firstly decomposing a large-size table image into a plurality of overlapped sub-images, and carrying out the table structure detection and OCR character recognition of each sub-image through parallel recognition; then, sub-graph recognition results are integrated through a coordinate mapping and confidence coefficient weighted fusion algorithm, and boundary errors are eliminated; then, automatically distinguishing common cells based on an area clustering algorithm, merging the cells and a header region, and reconstructing a complete table logic structure; further understanding header semantics through a natural language model and repairing identification errors; and finally, realizing intelligent splicing and standardized output of the cross-page table. According to the method, the memory limitation of the traditional OCR technology is broken through, an oversized table can be processed, the recognition accuracy of a complex structure is improved, and the digitization efficiency of professional documents such as financial statements and engineering drawings is improved.

The invention belongs to the field of computer vision and industrial defect detection, and discloses a steel coil end face defect detection method and system based on CBAM-BiFPN and multi-loss optimization, and the method comprises the steps: image preprocessing and region extraction: extracting a steel coil end face region through OpenCV and other image processing methods; dividing the high-resolution image into a plurality of small blocks and performing data enhancement; the method comprises the following steps: constructing a YOLOv11 network based on CBAM-BiFPN, introducing a CBAM attention mechanism and BiFPN feature fusion structure, and constructing an improved YOLOv11 detection network; multi-loss function joint optimization training is carried out, and model training is carried out in combination with loss functions such as Focal Loss and WIoU; and fusion of detection results and defect reconstruction output: reconstructing original image defects of all tile image detection results in a space coordinate mapping and redundant region fusion mode, and realizing high-precision overall detection output. Compared with a traditional method, the method still has the high recognition capability in a complex background and low-contrast scene, the detection precision and stability are obviously improved, and higher industrial adaptability and practical value are achieved.

The invention relates to the technical field of computer vision and artificial intelligence, and discloses a computer vision-based hundred-million-pixel panoramic situation awareness method and system, and the method comprises the steps: synchronously collecting original local field-of-view images through multiple cameras; independently executing target detection and semantic segmentation in an original image domain; constructing local-to-global coordinate mapping based on the calibration parameters; projecting the target features to a global coordinate system and detecting a cross-view-field target; extracting multi-view-field texture, edge and color features, and performing weighted fusion according to a visible area; according to the method, through identification preposition and semantic level feature fusion, geometric splicing distortion is avoided, the cross-boundary identification precision is improved, the calculation load is reduced, target continuous tracking and situation real-time output in a high-density scene are realized, and the method has high engineering suitability and industrial popularization value.

The invention discloses an urban particulate matter migration path identification method based on data fusion of a dynamic diffusion model and multi-source sensing. According to the method, firstly, multi-source pollution related data of a fixed monitoring station, a mobile monitoring device, a meteorological observation node and a traffic sensing system are collected, and standardized input is constructed after time synchronization, coordinate mapping and exception handling. And then establishing a hybrid dynamic diffusion model fusing a two-dimensional Gaussian plume model and a Lagrange particle tracking mechanism, and realizing assimilation of monitoring data and model output in combination with an improved particle filtering algorithm to obtain a correction concentration field. Based on concentration gradient analysis and particle trajectory superposition, a pollution migration path is extracted, then indexes such as a migration intensity index (MII), a path stability factor (PSF) and path average correlation are calculated, and recognition and sorting of a migration direction, a pollution source position and path stability are achieved. Meanwhile, an alpha dynamic weight factor is introduced, adaptive weighting is realized between the Gaussian model and the LPDM model, and the path strength and consistency are considered. Experimental results show that the method is superior to a traditional method in average absolute deviation (MAD) and hot spot overlap ratio (IoU) indexes, diffusion and migration rules of particulate matters under complex urban conditions can be more accurately revealed, and the method has important environmental governance and emergency management application value.

Methods and systems are described for analyzing images. One or more machine learning models may be trained based on a plurality of images. The one or more machine learning models may comprise a model representing a feature in a scene. The one or more machine learning models may be trained to map input image coordinates to vectors of spline control points. Images may be reconstructed removing the feature from the scene.

The invention discloses an unattended substation autonomous operation and maintenance management platform based on multi-modal data fusion. Multi-source data such as equipment state, intrusion behavior, flood prevention safety and environmental parameters are acquired through a multi-modal data sensing module; the cross-modal space-time fusion module performs timestamp alignment, space coordinate mapping and feature level fusion on the data to generate a unified representation vector; the intelligent analysis module outputs analysis results such as equipment fault probability and intrusion threat level by using a multi-task parallel deep learning model; the autonomous decision-making module dynamically generates an operation and maintenance strategy set based on the rule base and the knowledge graph; the execution driving module converts the strategy into an executable instruction and issues the executable instruction to the edge computing node; the visual interaction module realizes strategy verification through a three-dimensional digital twinborn body; and the edge computing node drives an execution mechanism to complete specific operation and return a result. According to the invention, multi-source data fusion, intelligent analysis and autonomous decision making of the unattended substation are realized, and the operation and maintenance efficiency and reliability are improved.

The invention discloses an oil and gas pipeline magnetic flux leakage image defect identification method based on a deep attention mechanism, relates to the technical field of oil and gas pipeline detection, and is used for solving the problem of inaccurate identification of a magnetic flux leakage image of a pipeline elbow section. According to the method, the image frame sequence with the posture annotation is constructed through unified time reference and space coordinate mapping, and accurate alignment of the image and the pipeline position is achieved; a structural area marking graph and non-rigid normalization are introduced to compensate the distortion of the elbow section, and the image consistency is improved; constructing a structure perception embedded image on the distortion compensation image, fusing position, gradient and texture features to implement feature propagation and attention guidance, and generating a feature saliency map; a defect area is accurately extracted in combination with layered reconstruction and a two-stage judgment strategy; through continuous frame monitoring and recognition stability judgment, recognition parameters are adaptively updated, a closed loop from recognition to updating to verification is constructed, and the precision of oil and gas pipeline magnetic flux leakage image recognition under complex working conditions is enhanced.

The invention provides a paper file information input method, system and device and a medium, and belongs to the technical field of file information processing. The method comprises the steps of collecting a paper file image, performing preprocessing in sequence to obtain a preprocessed image, and performing region segmentation on the preprocessed image by using a target detection algorithm to generate a region coordinate mapping table; generating a file template by using a predefined file template library according to the region coordinate mapping table; performing printing form recognition and handwritten form recognition on characters in the image by using a sequence generation model to generate a text sequence, and recognizing a table structure by using a two-dimensional convolutional network; according to the text sequence and the table structure data, a named entity recognition model is used for labeling field types, data formats are checked and corrected according to template rules, errors are corrected in combination with context semantic similarity, and structured data are generated; and mapping the structured data to an information system database table according to a template field mapping rule, and inputting the structured data into an information system.

The invention, which relates to the technical field of plant safety monitoring, discloses an AI-vision-based plant safety monitoring and emergency linkage system comprising a sensing acquisition module, a feature completion module, a behavior analysis module, a risk assessment module, a deduction planning module, a linkage execution module and a model updating module. The sensing acquisition module is used for arranging a multi-mode sensing unit in a factory area, acquiring a visible light image, infrared thermal imaging data and millimeter wave radar point cloud, performing timestamp alignment and space coordinate mapping on the three types of data, and outputting an original sensing data set; the feature completion module is used for judging environment quality according to brightness and contrast indexes of a visible light image, extracting a human body point cloud cluster based on millimeter wave radar point cloud when the indexes are lower than a preset threshold value, generating three-dimensional attitude key points through clustering and a skeleton regression algorithm, performing fusion verification in combination with a human body thermal contour in an infrared image, and obtaining a fusion verification result. And outputting the human body posture feature map.

The invention discloses a photovoltaic panel defect inspection method and system based on hydrogen energy unmanned aerial vehicles, and the method comprises the steps: scheduling two hydrogen energy unmanned aerial vehicles to work synchronously, and collecting visible light and infrared thermal image sequences of the front and back surfaces of a double-sided photovoltaic panel; analyzing a photovoltaic array CAD / BIM drawing, extracting geometric coordinates, topological structures and numbers of components, and establishing a local coordinate system; edge contours are extracted from front and back visible light images in a differentiated mode and matched with drawing coordinates to construct pixel-physical coordinate mapping; an abnormal area is positioned through the temperature gradient of the infrared thermogram, and an assembly number is bound; a thermoelectric coupling decoupling model is constructed, real defect data is obtained through heat conduction compensation and current balance correction, and a defect type is identified in combination with a double-current convolutional network; and superposing the front and back defect data to a view layer corresponding to the drawing, generating an independently labeled defect distribution diagram, and outputting the defect distribution diagram to a management platform. The problem of misjudgment caused by thermoelectric interference during inspection of the double-sided photovoltaic panel is solved, and the defect positioning and recognition precision is improved.

The invention discloses a dialogue scene data visualization analysis method and system based on a knowledge graph, and relates to the technical field of data visualization analysis, and the method comprises the steps: obtaining dialogue scene data and context attributes, extracting related entity nodes and relation edges from a pre-constructed knowledge graph to construct a knowledge sub-graph, the dialogue data and the knowledge subgraph are fused to obtain dialogue semantic structure data, node importance analysis, semantic path analysis and intention clustering analysis are carried out based on the data to generate an analysis result set, and a dialogue semantic relation graph, a dialogue process path graph and a dialogue hotspot distribution graph are constructed respectively; a comprehensive visual analysis result is generated through unified coordinate mapping and weighted fusion, and meanwhile, a local semantic structure and a visual result are dynamically adjusted for newly added dialogue data in an incremental updating mode, so that real-time monitoring, mode recognition, semantic evolution accurate tracking and intelligent visual display of a dialogue scene are achieved.

The invention provides a new energy construction small target full-link safety management and control method based on cross-view feature collaboration and a dynamic anti-interference closed loop, and relates to the field of new energy construction safety management, and the method comprises the steps: S1, deploying a plurality of heterogeneous sensing devices, and collecting the multi-source data of a small target in a construction region; s2, unifying small target features of different visual angles to a global coordinate system of a construction area through coordinate mapping and feature decomposition fusion according to the multi-source data collected in the step S1, and outputting an aligned small target feature map; and S3, adaptively performing multi-scale feature enhancement and lightweight processing according to the aligned small target feature map output in the step S2 and the scale and texture characteristics of the small target, and outputting an initial recognition result of the small target. Small construction targets such as bolts and buckles can be accurately identified, the cross-view space-time dislocation problem of multi-source equipment is solved, dynamic illumination and equipment vibration interference is inhibited, and full-link management and control from data acquisition, feature enhancement and precision calibration to rectification closed loop is realized.

The invention discloses an automatic layout generation method based on an experience module and a related device, and relates to the technical field of computers.The method comprises the steps that a template file is extracted, an independent device is generated based on the template file, and an experience module library is constructed based on the independent device; determining coordinate mapping and size constraints of the device, and performing multi-channel chip canvas hierarchical construction based on the coordinate mapping and size constraints of the device to obtain multi-channel chip canvas hierarchical representation; based on the empirical module library and the multi-channel chip canvas hierarchical representation, a reinforcement learning model is used for layout wiring, a target layout is obtained, and the reinforcement learning model comprises a state generation model, a value network and a strategy network. Layout and wiring of devices can be controlled more accurately, stray capacitance and resistance are effectively reduced, and the performance and reliability of an analog integrated circuit are effectively improved.

The invention discloses a visual alignment method and device for printing draft intelligent deflection and spraying vehicle cooperative control, and belongs to the technical field of machine visual localization, and the method specifically comprises the steps: firstly, arranging a calibration target in an ink-jet printing area, employing an image collection device to collect an image, and calculating a rigid transformation matrix of a visual coordinate system and a printer spraying vehicle coordinate system; establishing high-precision coordinate mapping; the control terminal reads the reference position and attitude information of the original draft in the spraying vehicle coordinate system from the production management system; the method comprises the following steps: after primary inkjet of a paperboard, shooting the whole paperboard by an image acquisition device, and extracting actual contour features and coordinates of a draft through image processing; the coordinates are mapped to a spraying vehicle coordinate system through a transformation matrix, and a rotation deviation angle and a translation deviation vector are calculated; analyzing to obtain angle and translation compensation values, packaging the angle and translation compensation values into a control instruction, and sending the control instruction to ink-jet printing control software through a real-time bus; finally, software drives a servo executing mechanism, the position and the posture of the spraying vehicle are adjusted according to a new target, and accurate alignment with the paperboard is achieved.

The invention relates to the technical field of bag type dust collector filter bag abrasion detection, in particular to a filter bag damage non-contact detection method and system based on acoustic array positioning. The method comprises the following steps: arranging an acoustic sensor array in an air purification chamber of the dust remover, and collecting acoustic signals in real time; after band-pass filtering is carried out on the signals, feature vectors of the signals are extracted and matched with a pre-established acoustic fingerprint database, so that a filter bag damage event is recognized; after identification, based on the time difference of arrival of the signal to at least three sensors in the array, combining the coordinates of the sensors and the sound velocity, and utilizing a TDOA positioning algorithm to calculate the space coordinates of the damaged sound source; and finally, matching the coordinates with a pre-stored filter bag coordinate mapping table, determining the number of a specific damaged filter bag, and performing visual highlight marking on a pattern board plane layout of an application layer terminal. The online, real-time, automatic and accurate positioning of the damaged filter bag is realized, the problem that the prior art can only give an alarm but cannot position is solved, and the operation and maintenance efficiency and safety are improved.

The invention provides a method and a device for mapping image coordinates to desktop coordinates, equipment and a storage medium, which are used for improving the positioning precision of a projection touch system in a real environment. The method comprises the steps of performing distortion correction on original gesture video data according to internal parameters of a camera and a lens distortion coefficient to obtain a corrected image frame sequence, and performing interaction space calibration according to the corrected image frame sequence to obtain a distortionless interaction plane, performing perspective change matrix solving on the distortionless interaction plane according to the target vertex coordinate set to obtain orthogonal mapping data, and when gesture key points are detected in the distortionless interaction plane, performing perspective transformation and normalization processing on gesture coordinates of the gesture key points according to the orthogonal mapping data to generate initial desktop control coordinates; and performing display mapping processing on the initial desktop control coordinates according to the physical attribute parameters of the target display to obtain desktop control coordinates.

The invention relates to the technical field of optical precision interference measurement, in particular to a correction method for projection distortion detection of a primary mirror of a dynamic interferometer and a related product, and the method comprises the steps: obtaining a first coordinate and a second coordinate; determining a zero distortion point; obtaining an ideal imaging point set and an actual mapping point set after system projection through ray tracing; fitting to obtain a distortion function representing the distortion of the optical system; performing point-by-point correction on a phase diagram obtained by interference measurement, mapping pixel coordinates of the phase diagram into workpiece coordinates, obtaining interference measurement data corresponding to the actual surface of the primary mirror, and completing distortion correction; according to the method for correcting the surface shape projection distortion during interference measurement of the high-precision primary mirror of the large-aperture dynamic interferometer, the problem that in the process of assembling, repairing and developing the large-aperture Twyman type dynamic interferometer, the projection distortion effect of a detection system causes the loss of an accurate matching relation between a workpiece coordinate system and a detection coordinate system is solved.

The invention discloses a boiler tube group diagnosis and maintenance method, and relates to the technical field of boiler monitoring, and the method comprises the following steps: building a thermodynamic simulation model, and carrying out reference simulation to obtain a reference system response parameter and a reference thermodynamic parameter; based on the simulation model, multiple times of simulation are carried out by adjusting the operation condition and the fault state, and a tube panel group health evaluation model is constructed by utilizing machine learning; introducing a thermal medium into the target tube group system, collecting actual measurement data, and screening out a problem tube panel group through the health evaluation model; and performing three-dimensional laser scanning and thermal imaging image acquisition on the defective tube panel group, fusing temperature information and space coordinates through coordinate mapping to construct a three-dimensional temperature field data set, positioning an abnormal tube section needing to be maintained according to the three-dimensional temperature field data set, and performing local maintenance. According to the method, step-by-step positioning and targeted maintenance from system-level abnormity to pipe section-level defects can be realized, and the diagnosis accuracy and maintenance efficiency of the boiler pipe group are remarkably improved.

The invention relates to the technical field of container terminal intelligent scheduling, in particular to a container terminal intelligent management method and system based on space-time coordinate mapping, and the method comprises the steps: obtaining ship operation associated multi-source data, and carrying out the data fusion; establishing a control management coordinate system; generating a ship distribution thermodynamic diagram, and mapping each ship into a rectangular color block; loading container operation feature data, embedding the container operation feature data into color blocks, and performing partition identification; analyzing container space distribution characteristics from the partition identifiers; generating a crane deployment scheme and issuing the crane deployment scheme to the wharf operation terminal; determining whether to trigger an early warning mechanism; if not, the current crane deployment scheme is maintained; if yes, an early warning mechanism is triggered, and the current crane deployment scheme is dynamically optimized; and pushing the optimized crane deployment scheme to an operation terminal in real time. The method provided by the invention has the effect of improving the problems of poor dynamic environment adaptability and low multi-target cooperation efficiency of the wharf scheduling method.

The invention discloses a field-of-view self-stabilization and self-adjustment hyperspectral camera system and a control method, and relates to the technical field of hyperspectral imaging. The system comprises a first imaging lens group, a movable slit, a two-dimensional linear driver, a slit outer layer light shield, a collimating lens group, a light splitting element, a second imaging lens group, an area array image sensor, an attitude sensor and a control acquisition circuit. Angle disturbance is obtained in real time, two-dimensional compensation displacement of the slit is calculated to drive the slit to move reversely, field-of-view collection is kept basically constant, collection is triggered according to a set rhythm, slit position and attitude data are recorded synchronously, and the pre-calibrated slit position and mapping of original coordinates and ideal coordinates are combined, so that field-of-view collection is completed. Geometric transformation and resampling dynamic correction are carried out on view field inclination aberration and spectrum bending aberration generated along with slit position changes, the environmental adaptability and reliability are improved, a hyperspectral data cube with accurate space coordinates and a stable spectrum curve is output, and the method is suitable for unmanned aerial vehicle-mounted hyperspectral remote sensing.

The invention discloses a planet generation method and system based on spherical display equipment. The method comprises the following steps: acquiring a planet material to be projected; based on preset UV coordinate mapping data, performing spherical projection on the planet material to generate a planet with two poles based on vertical projection and an equator based on cylindrical projection; the acquisition mode of the UV coordinate mapping data specifically comprises the following steps: generating a corresponding cylindrical projection through a cylindrical projection algorithm based on the auxiliary texture; corresponding spherical coordinates are obtained based on auxiliary texture mapping; converting the obtained spherical coordinates into 3D rectangular coordinates; the obtained 3D rectangular coordinates are mapped back to the 2D texture space again, and corresponding vertical projections are generated; determining an equator mask; and generating corresponding UV coordinate mapping data based on the equatorial mask, the cylindrical projection and the vertical projection. According to the invention, through the design of the UV coordinate mapping data, in the process of carrying out spherical projection on the planet material, the resource consumption is reduced, and the dynamic projection precision can be improved at the same time.

The invention relates to an active optimization design method of an axial flow fan blade, which comprises the following steps of: defining a blade profile construction line by adopting seven parameters such as a leading edge radius, and parameterizing and representing two-dimensional blade profile geometric characteristics based on NURBS curve control points; a two-dimensional blade profile and three-dimensional fan coordinate system is constructed, and control point coordinate mapping is achieved through matrix transformation; the method comprises the following steps: acquiring an initial sample based on Latin hypercube sampling, and establishing a Gaussian process proxy model by combining two-dimensional CFD calculation data; a K-RVEA algorithm is applied, maximization of a worst attack angle lift-drag ratio and minimization of a resistance coefficient are taken as double targets, Pareto optimization is carried out in combination with geometry and performance constraints, and iteration is terminated through a hyper-volume convergence criterion; and the optimized two-dimensional blade profile parameters are converted into NURBS description, and stacking is carried out in the spanwise direction to generate a three-dimensional blade entity. The grid sensitive effect in three-dimensional optimization is overcome, the flow field analysis precision is improved, invalid calculation is reduced, the blade profile curvature continuity and the process feasibility are guaranteed, and the design period of the axial flow fan is shortened.

The invention discloses a GIS in-place robot coordination control method with a posture correction function, and belongs to the technical field of robot coordination control. The method comprises the following steps: establishing a 2D-3D coordinate mapping corresponding relation; fusing the corresponding relation with an operation state predicted by an IMU-based inertial measurement and system dynamics model; performing error calculation on the obtained 6D pose information and target pose information; constructing a nonlinear kinetic equation of the robot, and converting a control target into an optimization problem of various constraints; and converting the obtained control instruction into a torque signal for actually driving the robot to move. According to the method, the influence of mismatching on pose estimation is effectively inhibited by establishing the 2D-3D coordinate mapping relation; through a joint torque PID control algorithm, the torque required by each joint is calculated in real time, and high-precision tracking of an expected trajectory is realized; an MPC optimization control framework with multiple constraints is constructed, and precise, smooth and safe coordination control over the GIS in-place process is achieved.

The invention provides a stock bin material volume detection method and device based on dynamic prompt and fusion verification, and the method comprises the steps: collecting and correcting a stock bin image, and building the coordinate mapping of the image and a real space; performing quality evaluation on the image and filtering dynamic interference to obtain a static scene image; based on the static image, performing primary segmentation through a clustering algorithm to position a material slope, and adaptively generating a dynamic prompt point or calling a static prompt point template according to a positioning result; inputting the image and the prompt point into a segmentation model to obtain a fine segmentation mask; calculating a fine-grained volume by three-dimensional reconstruction based on the fine mask; when the primary segmentation succeeds, calculating a coarse-grained volume, carrying out cross validation on the coarse-grained volume and the fine-grained volume, and outputting a final volume or judging failure according to an error range; according to the invention, through a dynamic prompt and coarse and fine granularity fusion verification mechanism, the precision of material segmentation and the robustness under a complex working condition are significantly improved.

The invention relates to the technical field of insulation degradation detection, and discloses an on-line detection method and system for insulation degradation of electric control equipment, and the method comprises the steps: obtaining and decomposing broadband dielectric response data of the electric control equipment, and obtaining a feature sequence of a plurality of frequency components; according to the energy distribution of the high-frequency component in the feature sequence, determining a potential degradation area of the electric control equipment and extracting a degradation feature component, applying pulse excitation to the degradation feature component by adopting a time domain reflection algorithm, and obtaining a time difference sequence of a reflected signal; comparing the time difference sequence with a preset delay reference, determining the initial point position of degradation invasion, and analyzing the continuous change of the time difference sequence to obtain the boundary contour information of the insulation degradation area of the electric control equipment; three-dimensional coordinate mapping of the insulation degradation path of the electric control equipment is generated based on the boundary point set, the three-dimensional coordinate mapping is optimized, a final path map of insulation degradation of the electric control equipment is generated, and the detection precision of insulation degradation of the electric control equipment is improved.

The invention discloses a pole piece die cutting defect online detection and sorting control method and system, particularly relates to the technical field of pole piece die cutting online detection and sorting control, and is used for solving the problems of uncertain event positioning and sorting errors caused by time base asynchronization, coordinate mapping drifting and late disorder under a multi-station dynamic beat condition. A double-anchor time base and an idempotent key are established, water line propulsion and out-of-order window playback are taken as an order basis under a unified time axis, online self-certification of same-layer coordinate transformation and time check and space check in a topological graph are matched, unified judgment is implemented at the merging moment, and two-section interlocking execution is performed. Therefore, under the multi-station dynamic rhythm, a determined and reviewable sheet-level corresponding relation is established between the detection event and the stroke frequency, the mold cavity and the discharging port, the consistency of sorting decisions is still kept in the face of late, disorder and state transition, and the risk of wrong sorting and missing sorting is reduced.

The invention belongs to the technical field of numerical control machining, and discloses a numerical control machining tool path regulation and control method and system based on a dynamic coordinate system and overcut pre-judgment. The method aims at the problems that in complex curved surface grinding, due to static programming, tracks and poses are disjointed, and the overcut risk is difficult to control in time. The method comprises the steps that a dynamic coordinate system updated along with a tool edge line in real time is constructed, and design coordinates are mapped to the coordinate system; a sampling point is preset in the neighborhood of a grinding wheel theoretical contact point, and the theoretical distance and the actual distance between the sampling point and the axis of the grinding wheel are quantitatively calculated to achieve intelligent pre-judgment of the overcut risk before machining; and when it is judged that the risk exists, differentiated grinding wheel dynamic deflection angle correction is triggered in a grading mode according to the overcut occurrence position, and a perception pre-judgment correction closed loop is formed till the risk is eliminated. Dynamic coupling and self-adaptive regulation and control of the tool path and the real-time pose are achieved, and the machining precision, the consistency and the process reliability are remarkably improved.

The invention discloses a visual alignment fitting method, device and equipment for a vehicle-mounted display screen and a storage medium, and relates to the technical field of visual alignment, and the visual alignment fitting method for the vehicle-mounted display screen comprises the steps: calculating a mapping parameter from a pixel coordinate system of the vehicle-mounted display screen to a mechanical axis coordinate system; constructing a spatial index structure of the calibration plate coordinate set and the mechanical coordinate set; angular point images of the vehicle-mounted display screen and the rear shell are collected, and angular point pixel coordinates are determined; converting the angular point pixel coordinates into angular point mechanical coordinates according to the mapping parameters, and mapping the angular point mechanical coordinates into angular point calibration plate coordinates through the spatial index structure; and calculating the position offset and the angle offset of the vehicle-mounted display screen and the rear shell based on the coordinates of the angular point calibration plate, adjusting the pose of a mechanical shaft according to the position offset and the angle offset, and executing the fitting operation of the vehicle-mounted display screen and the rear shell. According to the invention, the alignment fitting precision of the vehicle-mounted display screen can be improved.

The invention discloses an LED lamp strip video imaging control method and system based on pixel coordinate mapping, and relates to the technical field of visual image processing. The pixel coordinate mapping-based LED lamp strip video imaging control method comprises the following steps of S1, acquiring geometric structure data and operation performance data of an LED lamp strip, preprocessing the geometric structure data and the operation performance data, and constructing a bending management database; s2, according to geometric structure data of the lamp strip, analyzing a mapping deviation between a pixel coordinate and a physical coordinate in real time; s3, geometric structure data and operation performance data are obtained, and bending light attenuation analysis is carried out; s4, evaluating the thermal load state of the bending area according to the operation performance data and the thermal management data of the LED; and S5, displaying the operation performance data and the abnormal alarm information in real time through an interface, and realizing data closed-loop management and partition operation and maintenance tracing. The problems that the display precision of the bending area of the LED lamp strip is reduced, the brightness and the color are uneven, and the performance of the LED is degraded due to local heat accumulation are solved.