320 results about "Plane map" patented technology

The invention discloses a distributed urban and rural planning decision support method and system, and relates to the technical field of data analysis, and the method comprises the following steps: S100, drawing a planar graph of a to-be-planned region, dividing the planar graph of the region according to a Morse decomposition method, and constructing a region matrix, S200, calculating the coverage rate of the region matrix, and S300, calculating the coverage rate of the region matrix. And planning the surveying and mapping path. According to the method, planning units and surveying and mapping grids are unified into the same quadrilateral matrix through Morse complex, repeated zoning and edge matching errors are effectively avoided, the edge weight is inversely proportional to the building coverage rate, an unmanned aerial vehicle and a surveying and mapping vehicle automatically and preferentially encrypt a high built-up area, field working hours are saved, the data precision of a core construction area is guaranteed, and the construction efficiency is improved. The regional matrix naturally corresponds to edge nodes, and each node only communicates with an adjacent unit, so that the MST and the local route can be locally solved, the communication complexity is reduced, and the method is suitable for large-scale regional surveying and mapping.

The invention relates to the technical field of image recognition, in particular to a building plane element recognition model construction method based on a convolutional neural network, and the method comprises the following steps: obtaining an input APN sample; elements in the APN sample are labeled, and a labeled file is generated; converting the annotation file into a format required by YOLO, and normalizing the annotation file; performing data enhancement on the APN sample, expanding the training data volume, and outputting to obtain an element detection result and a feature vector; installing dependency and carrying out data configuration; setting command line model parameters and customizing training scripts; and carrying out model training and model reasoning. According to the method, the plane layout is abstracted based on the machine learning method, and the vector data type has high flexibility and deformation capability, so that the vector output which keeps the original plane image form unchanged can be converted into various objects according to the purpose of a user. And classifying and identifying the plane elements by using the GNN.

The invention relates to the technical field of light field image super-resolution reconstruction, in particular to a light field image spatial super-resolution method based on a multi-scale large kernel attention mechanism, which comprises the following steps: inputting a target light field image into a trained spatial super-resolution reconstruction model, and outputting a spatial super-resolution reconstruction image of the target light field image; in the spatial super-resolution reconstruction model, performing feature extraction on an input light field image through a shallow feature extraction network to generate a shallow feature map; respectively extracting angle features, spatial features and epipolar plane image features from the macro-pixel image of the shallow feature map, the sub-aperture image for generating the macro-pixel feature map and the epipolar plane image of the shallow feature map through a large kernel feature extraction network, and fusing to generate a 4D light field feature map; and performing up-sampling reconstruction on the 4D light field feature map through an up-sampling reconstruction network to generate a spatial super-resolution reconstruction image of the input light field image. According to the invention, the reconstruction quality of the spatial super-resolution of the light field image can be improved.

The invention provides an unmanned aerial vehicle navigation method and system fusing reinforcement learning and model prediction. The method comprises the following steps: collecting environment information by using a laser radar through autonomous exploration and establishing a map; extracting a two-dimensional plane map of the projection of the global map at the height of the target point; searching an optimal global path on the global two-dimensional map; using a deep reinforcement learning algorithm to obtain a smooth trajectory with the position, speed and attitude information of the unmanned aerial vehicle; and realizing trajectory tracking of the unmanned aerial vehicle by an optimized method through model predictive control. The technical problems that collision is likely to happen in unmanned aerial vehicle planning and the system control stability is poor are solved.

The invention discloses a casting part multi-mode intelligent cost accounting method and system, and relates to the technical field of casting engineering and intelligent cost accounting. The casting part multi-mode intelligent cost accounting method comprises the steps that process information in casting engineering is extracted and processed in a structured mode, and missing information of a plane drawing is automatically supplemented; matching a target casting process route and key parameters based on the process information subjected to the structured processing; and calculating the basic total cost according to the target casting process route, and correcting the basic total cost in combination with the historical data deviation, the real-time market data and the order variables to obtain the corrected total cost. Unified automatic analysis of the plane drawing and the three-dimensional drawing is achieved, the problem that information of the plane drawing is incomplete is solved through image recognition and rule completion, and the limitation that only a single drawing type is supported is broken through; the casting process constraint extracted from the three-dimensional drawing is directly used as a core parameter of process matching, and the plane drawing indirectly maps process requirements through feature recognition, so that quantitative association of drawing information-process parameter-cost is realized.

A method to align a constellation of access points of a wireless local area network to, e.g., a floorplan, includes generating a representation of a constellation of access points of a wireless local area network area using inter-access point range finding, wherein data from the inter-access range finding is filtered based on a quality indicator associated with respective links between the access points, matching the representation of the constellation of access points to features of a map of a predetermined space, and identifying a location for each access point in the representation of the constellation of access points based on location information associated with the map.

The invention provides a multi-view panoramic image indoor layout prediction method fusing semantics and planarity. The method comprises the following steps: step 1, carrying out three-dimensional semantic segmentation combined with three-dimensional point cloud reconstruction and a multi-view geometry and two-dimensional segmentation large model; step 2, obtaining a pure structured point cloud; step 3, multi-plane detection and classification; 4, extracting an initial contour; 5, generating a wall line based on plane fitting; step 6, performing multi-label graph segmentation guided by the two-dimensional contour and the wall surface; step 7, extracting a non-Manhattan ceiling line; and step 8, stretching the two-dimensional wall line along the vertical direction on the basis of the contour of the dimensional plane graph in combination with the vertical height of the room, generating an intersection line of the wall surface and the ceiling and an intersection line of the wall surface and the ground, and finally outputting a complete indoor three-dimensional vectorization layout model. According to the method, the layout integrity of the complex scene is improved, the boundary recovery precision of the occlusion area is improved compared with that of a traditional projection method, and the detection accuracy is improved by matching with multi-model RANSAC plane detection.

The invention discloses a potential diffusion model-based building planning type plane generation method and system, and the method comprises the steps: collecting a land use planning map, and the total plan layout data and plane layout data of a building / building group, and constructing a corresponding data set; a pre-trained potential diffusion model is used as a base model, low-rank adaptation fine tuning training is carried out, and a low-rank adaptation model is obtained; and based on the pre-trained potential diffusion model, loading a low-rank adaptation model, inputting the sample data into the model, and generating a corresponding general plan layout / plane layout scheme of the building / building group. The method provided by the invention is small in data demand, flexible in data processing and high in generation speed, so that a reasonable planar graph or general graph is generated according to a newly input contour or partial content during reasoning; the problems of low design efficiency, dependence on personal experience, low flexibility, high cost, limited design result and the like of the traditional land planning, building and building group total plane layout and building plane generation method are solved.

The invention belongs to the technical field of oil and gas pipeline safety monitoring and unmanned aerial vehicle image analysis, and discloses a two-stage oil and gas pipeline occupation pressure monitoring method and system based on unmanned aerial vehicle space perception and deep learning fusion, and the method comprises the steps: obtaining image data and space data of a to-be-monitored region, combining the image data and the space data with a DEM, and obtaining a DEM image; realizing projection of geographic coordinates of the pipeline to image pixel coordinates to obtain a plane image of the pipeline; constructing and deploying a lightweight target detection network DRF-YOLOv8n, performing reasoning on a plane image of the pipeline based on the lightweight target detection network DRF-YOLOv8n, outputting a candidate bounding box, and performing screening and key frame judgment; a Promp-guide SAM pixel level segmentation module is used to realize pixel level segmentation of the key frame, and a candidate pixel mask is generated; and judging whether occupation occurs or not through the intersection of the pipeline projection line and the candidate pixel mask, and outputting alarm information with geographic coordinates.

One or more embodiments of the invention provide a three-dimensional model generation method, apparatus and device, a medium and a program product. The method is applied to CAD software and comprises the following steps: acquiring a plane image and a model thickness of a modeling object; generating a plane grid for the modeling object according to the plane image; generating a front grid, a back grid and a side grid for the modeling object according to the plane grid and the model thickness; and combining the front grid, the back grid and the side grid into a three-dimensional grid, and mapping the texture of the plane image to the three-dimensional grid to obtain a three-dimensional model of the modeling object.

Reproduction 1.1 is a perspective view of a transitional graphic symbol for screen display showing our new design; reproduction 1.2 is a front elevation view thereof; reproduction 1.3 is a rear elevation view thereof; reproduction 1.4 is a left side elevation view thereof; reproduction 1.5 is a right side elevation view thereof; reproduction 1.6 is a top plan view thereof; reproduction 1.7 is a bottom plan view thereof.

The invention provides a two-dimensional roadway coordinate checking calculation method and system and a storage medium. The two-dimensional roadway coordinate checking calculation method comprises the steps of determining a quadrant in a rectangular coordinate system where a two-dimensional roadway is located; selecting a roadway checking calculation type; identifying and picking up label values of a plurality of coordinate parameters of the two-dimensional roadway from the construction plane graph; on the basis of the selected roadway checking calculation type and the quadrant where the two-dimensional roadway is located, target coordinate parameters needing to be checked calculation are determined, and calculated values of the target coordinate parameters are calculated through marked values of part of the coordinate parameters; and outputting a comparison result of the calculated value of the target coordinate parameter and the labeled value of the target coordinate parameter. According to the method, the coordinate checking calculation process is simplified, the problems of secondary carrying of data, repeated switching and use of multiple tools and tedious checking calculation process in a traditional coordinate checking calculation mode are solved, the accuracy and efficiency of two-dimensional roadway coordinate checking calculation are improved, the labor intensity of designers is reduced, and the drawing standardization degree and the intelligent design level are improved.

Disclosed are a key facility gas safety assurance method and a system, comprising the steps: 1. acquiring basic data; 2. using BIM technology to perform three-dimensional modeling of a key facility; 3. reviewing a model; 4. performing lightweight model handover of the reviewed model; 5. performing model splitting, control dashboard design, function development, and project deployment on a plan by means of a corresponding platform side of a key facility digital delivery platform adopting a B / S architecture; and optimizing the model by means of a corresponding mobile client utilizing AR and positioning technologies, then uploading the model to an AR collaborative platform, and performing location verification by means of creating a two-dimensional code on the AR collaborative platform and deploying the two-dimensional code. The present invention enables real-time monitoring, rapid linkage, intelligent command, and safety control of a gas system in a key facility.

The application discloses a kind of spatial intelligence three-dimensional reconstruction method and system based on cross-scale topological consistency, it is related to spatial intelligence field, solve the problem that existing spatial intelligence three-dimensional reconstruction technology exists three-dimensional reconstruction effect is not good, including steps S1: acquisition area plan image is carried out to modeling region space marking, obtain modeling region plan image, to target modeling region preliminary creation three-dimensional model, obtain target region preliminary three-dimensional model, step S2: target region preliminary three-dimensional model is verified with target modeling region scene geometry topological, according to the topological element repair of target region preliminary three-dimensional model according to verification result, obtain target region repair three-dimensional model, step S3: according to the real-time color data of target modeling region corresponding to target region preliminary three-dimensional model is carried out real-time color restoration, obtain spatial region three-dimensional reconstruction model, the application improves the structural integrity and geometric accuracy of three-dimensional model under complex scene.

The invention provides a pipeline defect detection method, electronic equipment and a storage medium, and relates to the technical field of computer vision. The method comprises the following steps: performing coordinate conversion on an initial fisheye video stream to obtain a multi-frame plane image; for any frame of plane image, determining a binarization mask of the frame of plane image based on a semantic segmentation network, and extracting feature points of a pipe wall region in the frame of plane image by taking the binarization mask as a constraint to form a feature point set; determining an optimal suture line between any two adjacent frames of feature point sets by adopting a graph cut algorithm based on energy minimization, and carrying out splicing to obtain a pipeline panorama; and identifying the pipeline panorama by using a deep neural network model to perform defect identification to obtain a target defect. According to the method, the binarization mask is used as a constraint, and non-pipe wall area interference is eliminated; an optimal suture line is determined and splicing is completed based on an energy minimization graph cut algorithm, so that inter-frame splicing gaps and artifacts are effectively eliminated, and rapid and accurate detection of target defects can be realized.

The invention provides a tunnel full-section deformation resolving method, which comprises the following steps of: fitting an axis of a tunnel based on a three-dimensional tunnel point cloud to obtain an axis equation; based on the obtained axis equation, converting the three-dimensional tunnel point cloud into a two-dimensional gray plane image, and dividing the tunnel into a plurality of ring segments through the gray plane image; denoising the tunnel point clouds on each ring section based on distance and intensity, processing the denoised tunnel point clouds to highlight pipe seam features, and generating a geometric feature plane image of the tunnel; segmenting the segment on each ring segment into a plurality of arc segments based on the geometric feature plane image, and performing arc fitting on each segmented arc segment; and tunnel full-section deformation calculation is carried out based on an arc fitting result. The method aims at comprehensively evaluating the structure and the deformation condition of the tunnel through the steps of point cloud data processing, axis fitting, ring section recognition and division, denoising processing, geometric feature extraction, deformation calculation and the like.

The application discloses an ETL-based welding line virtual process environment building method and device and a storage medium, belongs to the technical field of software development, and comprises the following steps: preparation: establishing a two-dimensional plane legend library and a PD three-dimensional model resource library with corresponding names; calling legends in the two-dimensional plane legend library to create a two-dimensional plane map; data extraction: filling in the work station information of the equipment in the two-dimensional plane map and generating an automatic layout table; data conversion: reading the work station information in the automatic layout table to automatically generate a resource tree Input table; data loading: generating a corresponding resource tree according to the information in the resource tree Input table, inserting an equipment node under the resource tree and modifying the spatial position of the equipment when the PD-ID in the automatic layout table is empty, and completing the virtual process environment building; the method optimizes the working method, improves the working efficiency and accuracy, and can realize the traceability of data changes.

The invention discloses a GIS-based channel digging and filling amount acquisition method, and relates to the technical field of channel engineering, and the method comprises the steps: firstly, obtaining DEM data after framing processing, channel GIS basic data and cross section parameters, and obtaining a channel digging and filling amount based on the channel GIS basic data, the cross section parameters and the DEM data after framing processing; drawing related cross section terrain sectioning lines, cross section characteristic lines and sloping lines on the channel plane map; and finally, according to the cross section terrain sectioning line, the cross section feature line and the sloping line, obtaining a channel body digging and filling amount, a channel adjacent road digging and filling amount and a channel sloping digging and filling amount, and adding the channel body digging and filling amount, the channel adjacent road digging and filling amount and the channel sloping digging and filling amount to obtain a target channel digging and filling amount. The earth-rock volume can be quickly calculated only by inputting GIS basic topographic data and a small amount of parameters of longitudinal and transverse sections, the earth volume calculation complexity is reduced, and the earth volume calculation efficiency is improved.

Wireless remote control. The distinctive feature of this design lies in its shape. 3.1) Plan view; 3.2) Perspective view; 3.3) Right side view; 3.4) Left side view; 3.5) Front view; 3.6) Rear view

A computerized method for managing solar systems, the method has the steps of: estimating solar power generation of the housing structure based on the plan-view image of the housing structure, and validating a document related to the solar power generation of the housing structure based on an image of the document and non-text features of the image of the document.

The application discloses a reverse making method of terraced rice picture and belongs to the field of straw picture, and comprises the following steps: S1, breeding color rice varieties with different color and plant height, and carrying out planting and management according to the characteristics of terraces; S2, designing a plane pattern by using PS and AI; S3, importing the plane pattern into CAD and adjusting the angle and perspective; S4, measuring the position and range of the rice field picture area field plot and the height difference of the field ridge; S5, discharging the whole pattern in the reverse direction of the field ridge by using the Ovi interactive map, and adjusting the position and angle of the field ridge in the picture to be optimal; and S6, placing the converted pattern in the rice field by using a positioning instrument and placing and planting. The terraces are curved, the field ridge is high, the field plot surface is small, and the rice field picture cannot be made like the basin or the plain, the application adopts a reverse terraced picture making technology, the technology overcomes the disorder and the broken feeling caused by the large height difference of the terraces, the small field plot and the large bending degree, and improves the overall viewing effect of the picture.

The distinctive feature of this design lies in the shape of the areas indicated by solid lines. The shaded lines in the diagram represent the outline and do not illustrate surface decoration or ornamentation. 1.1) Plane perspective view; 1.2) Bottom perspective view; 1.3) Plane view; 1.4) Bottom view; 1.5) Left side view; 1.6) Right side view; 1.7) Front view; 1.8) Rear view

The application relates to the technical field of production detection, and discloses a canning defect detection method, system and equipment based on deep learning. The method comprises the following steps: irradiating a to-be-detected can body with a light source and performing multiple self-rotations, and then shooting a reflection light image of the surface of the to-be-detected can body after the self-rotations; performing first defect analysis on the to-be-detected can body based on the reflection light image, so that the to-be-detected can body is classified into a first qualified can body or a defective can body; after the first qualified can body is completed with color spraying, a texture image of the surface of the first qualified can body is shot again; the texture image is subjected to plane conversion to obtain a plane image, the plane image is spliced to obtain a complete image; the complete image is subjected to region segmentation based on a deep learning algorithm to obtain multiple sub-images, and second defect analysis is performed on the first qualified can body based on the sub-images, so that the first qualified can body is classified into a second qualified can body or a defective can body. According to the application, a can body with an appearance defect can be removed in advance before a spraying process.

The invention discloses an interactive room planar graph extraction method and system based on image recognition, and the method comprises the steps: outputting an initial room bounding box through an image detection model trained by housing planar graph data, carrying out the visual interaction correction, alignment adsorption, curve wall fitting, and polygonal contour drawing, and then obtaining a closed base ring through the combination with ring detection; finally, a. Dxf vector diagram is exported, a three-dimensional model is generated, one-stop connection of recognition, correction and modeling is achieved, the conversion efficiency and precision are improved, and the method adapts to scenes such as three-dimensional indoor navigation, building design and BIM generation. By the adoption of the technical scheme, the problems that traditional manual drawing is low in efficiency and large in proportion deviation, and an existing detection algorithm is poor in non-rectangular structure adaptation and insufficient in modeling connection are solved.

The invention provides a general plane graph color migration method and system based on a depth diffusion model, and the method comprises the following steps: (1) carrying out the semantic segmentation of a black and white general plane line draft graph, and generating a semantic mask graph; (2) extracting global style features of the color general plane reference image and local color distribution features of different semantic regions; (3) inputting color features of the line draft image, the semantic mask image and the reference image into a depth diffusion model, restraining the structure of the generated image to be consistent with that of the line draft through a ControlNet module, and migrating the color features of the reference image to a corresponding position of the line draft according to a semantic region through a region perception attention mechanism; and (4) in the de-noising process of the diffusion model, combining the style consistency loss function and the regional color histogram matching loss to generate an image after color migration. According to the method, the color of the reference picture is migrated to the black-and-white line draft according to the semantic region, meanwhile, the line draft structure is kept complete, and the requirement for rapid personalized drawing can be met.

The invention provides an automatic parking system based on a parking lot plane map, belongs to the field of intelligent driving, constructs a parking lot full-scene structure map based on the plane map by obtaining the plane map of a parking lot, plans a global path for parking based on the structure map, and can cruise in the whole parking lot. In the cruising process, the vehicle can build a local map around the vehicle, obstacle avoidance is carried out based on the local map, surrounding available parking spaces are searched, after the available parking spaces are searched, the vehicle is switched to a parking mode, and the vehicle is parked in a target parking space. The problem of automatic parking in an unmapped parking lot can be effectively solved under the condition of avoiding high-cost reconstruction of a field end, and the efficiency of automatic parking is improved.

To accurately and efficiently specify an area occupied by an object included in captured image data in an image.SOLUTION: The training data generation device 100 functioning as the object region specifying device includes the processing unit 110, and the processing unit 110 acquires the object information which is information regarding the object from the object included in the captured image data, acquires the shape and the position of the object in the space based on the acquired object information, and specifies the plane figure specified by the object in the image as the region occupied by the object in the image based on the shape and the position of the object.SELECTED DRAWING: Figure 2

The invention provides an efficient cooperative construction method, device and equipment for simultaneous operation of multiple geophysical prospecting teams, relates to the technical field of seismic prospecting, and aims to solve the problem that the construction efficiency is low under the condition that the distance between shot points constructed by the multiple geophysical prospecting teams in the same time window in adjacent work areas is smaller than the minimum distance of synchronous excitation in the prior art. The method comprises the following steps: integrating adjacent work areas for analysis, calculating the lower limit value of the root-mean-square energy of the upper cannon interference of a conventional production cannon, and drawing a first time distance curve meeting the condition that the upper cannon interference is not greater than that of the production cannon by utilizing a single-cannon data single-cannon energy attenuation time-space domain distribution plane graph of a long-record long-arrangement-point test; according to the seismic data of the work area, obtaining the lowest refracted wave speed, and calculating a second time distance relation curve when the last shot refracted wave does not enter the single shot data; and an area clamped by the first gun loading interference time distance curve and the second gun loading interference time distance curve is used as a distance range of staggered excitation of two guns in adjacent work areas, a blasting time interval is dynamically calculated, and staggered excitation is carried out.

The invention discloses a cross-belt sorting system and method based on visual monitoring, and relates to the technical field of logistics sorting, and the method comprises the steps that a data acquisition and processing module obtains the operation data of cross-belt sorting equipment in a target area in real time, and dynamically evaluates the operation state of the equipment; the visual monitoring module obtains the actual spatial layout of the equipment, constructs a visual planar graph, maps the visual planar graph to the planar graph through color coding in combination with the operation state of the equipment, and constructs an equipment operation state dynamic updating graph; the key operation index module obtains key operation indexes of the equipment by using a sliding time window technology; the early warning and decision support module sets a dynamic threshold value, automatically triggers a grading early warning system, couples atlas to highlight and display abnormal equipment, and generates an equipment preliminary optimization suggestion; the operation cockpit module integrates multi-dimensional data of a graph, key operation indexes, early warning information and personnel performance, an integrated operation cockpit view is constructed, and a cross-belt sorting scheme of visual monitoring is completed. According to the invention, the monitoring manpower is saved.

Embodiments of the present application relate to a navigation method and device, electronic equipment and storage medium, the method comprising: obtaining a grid map of a target area, the grid map being obtained by rasterizing a plan view of the target area; determining a target node of a target object in the grid map, and determining a starting node of the target object in the grid map; determining a target path of the target object from the starting node to the target node; and navigating the target object according to a preset navigation mode based on the target path. Thus, the target path of the target object from the current starting node to the target node can be determined based on the grid map of the target area, and the target object can be navigated according to the preset navigation mode. The user can be guided from the starting position to the specified location in the target area, and the target object can be prevented from finding the wrong position and wasting a lot of time and effort.