CN112258661B - Power grid equipment model slicing method based on octree - Google Patents
Power grid equipment model slicing method based on octree Download PDFInfo
- Publication number
- CN112258661B CN112258661B CN202011177629.5A CN202011177629A CN112258661B CN 112258661 B CN112258661 B CN 112258661B CN 202011177629 A CN202011177629 A CN 202011177629A CN 112258661 B CN112258661 B CN 112258661B
- Authority
- CN
- China
- Prior art keywords
- model
- octree
- texture
- data
- slicing
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 22
- 238000010276 construction Methods 0.000 claims abstract description 11
- 238000005457 optimization Methods 0.000 claims abstract description 8
- 230000006835 compression Effects 0.000 claims abstract description 7
- 238000007906 compression Methods 0.000 claims abstract description 7
- 238000004458 analytical method Methods 0.000 claims description 9
- 238000012545 processing Methods 0.000 claims description 7
- 239000000178 monomer Substances 0.000 claims description 6
- 101150075118 sub1 gene Proteins 0.000 claims description 6
- 238000012952 Resampling Methods 0.000 claims description 3
- 238000012946 outsourcing Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000009877 rendering Methods 0.000 abstract description 13
- 238000005516 engineering process Methods 0.000 abstract description 5
- 230000005540 biological transmission Effects 0.000 abstract description 4
- 238000010586 diagram Methods 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000003672 processing method Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015556 catabolic process Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T19/00—Manipulating 3D models or images for computer graphics
- G06T19/20—Editing of 3D images, e.g. changing shapes or colours, aligning objects or positioning parts
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/067—Enterprise or organisation modelling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
Abstract
The invention discloses a power grid equipment model slicing method based on octree, which converts a common power grid equipment model format into a unified structure, adopts a texture intelligent merging algorithm, merges texture pictures, reduces blank pixels and maximally compresses the size and the number of the texture pictures on the premise of not losing the picture identification; according to the complexity of the entity, different slicing strategies are adopted, and after each device or component entity is sliced, the identification number of the device or component entity is recorded by using the slice vertex; according to the set LOD simplifying parameters of each level, model slices are organized in an octree mode, and three-dimensional model data of every 8 sub-nodes are combined into a whole three-dimensional model block from small sub-nodes. The invention combines the three-dimensional model instantiation construction, texture compression, vertex optimization and octree-based slicing technology, improves the data network transmission efficiency, and effectively improves the loading and rendering efficiency of the three-dimensional model of the power grid equipment.
Description
Technical Field
The invention relates to the technical field of geographic information industry, in particular to a power grid equipment model slicing method based on octree.
Background
The application processing method of the three-dimensional model of the power grid comprises the following two steps: firstly, slicing a three-dimensional model and constructing LOD; secondly, LOD is loaded step by step when the three-dimensional scene is applied, and only scene visible area data is loaded each time, so that the situation that the clamping and the resource occupation are too high due to the fact that too many model data are loaded at one time is avoided; and thirdly, the professional and graphic workstations are adopted to greatly improve the hardware configuration of the computer so as to improve the rendering and application efficiency.
When the method faces to a power grid equipment model with rich texture characteristics and high equipment density, when graphic data exceeds a certain quantity, the loading is too slow, rendering is blocked, computer breakdown is often caused, and high-efficiency rendering and universal application of the three-dimensional model of the power grid equipment cannot be realized.
Disclosure of Invention
The invention aims to provide a power grid equipment model slicing method based on octree, which combines three-dimensional model instantiation construction and texture compression, effectively improves loading and rendering efficiency of a three-dimensional model of power grid equipment, improves data network transmission efficiency, and can solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions:
an octree-based power grid equipment model slicing method comprises the following steps:
step 101: model analysis: the analysis and unification of the data format of the three-dimensional model of the power grid are realized, the format of the commonly used power grid equipment model is converted into a unified structure, the next optimization processing is convenient, and the commonly used format is FBX, IFC, OBJ, OSGB and comprises a texture model and a non-texture model;
step 102: automatically constructing instantiation data, and automatically constructing instantiation information aiming at a large number of devices and components with the same type of power grid devices, so as to realize component level and device level to combined device and graphic object instantiation;
step 103: the texture data is intelligently compressed, a large number of texture pictures are provided in a three-dimensional model of the power grid equipment, and the size and the number of the texture pictures are compressed to the greatest extent by combining the texture pictures and reducing blank pixels on the premise that the picture identification degree is not lost by adopting a texture intelligent combining algorithm;
step 104: octree model slicing, singulation, and vertex optimization: realizing model slicing, realizing space region object segmentation based on octree structure, adopting different slicing strategies according to the complexity of the entity, generally adopting larger span slicing for building and large-scale entity and smaller span slicing for equipment entity; recalculating normals according to the combined vertex result; the device and the component are subjected to monomer processing, and after each device or component is physically sliced, the identification number of the device or the component is recorded by using the slice vertex;
step 105: octree LOD construction: according to the set LOD simplifying parameters of each level, model slices are organized in an octree mode, three-dimensional model data of every 8 sub-nodes are combined into an integral three-dimensional model block from small sub-nodes, and simultaneously, vertexes and monomerized marks are reconstructed;
step 106: outputting the LOD slicing result according to the format requirement can be output in the gltf format and other common formats.
Further, automatically building instantiation data includes the steps of:
step 1021: inputting model data E;
step 1022: reading a first equipment object E1;
step 1023: sequentially reading the first Sub-objects Sub1 to Sub x;
step 1024: sequentially comparing and calculating Sub1 with Sub2 to Sub x;
step 1025: judging whether the amounts of the outsourcing box and the polygon book are completely equal, if so, carrying out the next step, and if not, repeating the step 1022;
step 1026: instantiating records in a relational table;
step 1027: and outputting all sub-object instantiation relations of the model.
Further, the intelligent compression of texture data comprises the following steps:
step 1031: inputting model texture data;
step 1032: traversing all textures;
step 1033: determining whether there is a zero value, if so, proceeding to step 1034, if not, returning to step 1032;
step 1034: cutting all zero value areas;
step 1035: splicing all texture pictures into textures with pixel values not more than 1024 x 1024;
step 1036: recalculating texture coordinates and compressing textures;
step 1037: outputting the latest texture data.
Further, the flow steps of octree LOD construction are as follows:
step 1051: inputting octree structure model slice data;
step 1052: traversing N-level octree knots in sequence;
step 1053: combining and resampling the slice data of each node of the N-1 level to form new slice data;
step 1054: assigning the vertex monomer standard book of the new slice data, and simultaneously recalculating the vertex normal and the index;
step 1055: LOD data of the three-dimensional model is output.
Compared with the prior art, the invention has the beneficial effects that:
the slicing result obtained by the invention reserves the contents of hierarchical structure, space position information, mapping texture information and the like in the original model construction, has good rendering index scheduling efficiency and lower resource consumption. The method and the device can provide good interactive roaming experience for the user, and provide good scene support for application function development of the user in operation and maintenance assistance, asset management, space analysis, live-action inspection and the like. The invention analyzes the data characteristics of the three-dimensional refined model, and provides a grid refined model slicing technology based on an enhanced octree on the basis of a traditional octree construction algorithm. The invention takes the three-dimensional data characteristics as the starting point of data processing, and optimizes and upgrades the octree data structure. Through experimental comparison, the power grid equipment refined three-dimensional model slicing technology based on the enhanced octree is superior to the three-dimensional slicing technology mature in the market in the aspects of rendering efficiency, effect, data structure inheritance, resource occupancy rate and the like, has good applicability to a mainstream three-dimensional platform Ces i um, and is more suitable for processing of the power grid equipment refined model.
Drawings
FIG. 1 is a schematic diagram of the overall implementation steps of the present invention;
FIG. 2 is a schematic diagram of an automated build exemplary dataflow diagram of the present invention;
FIG. 3 is a flow chart of a texture compression technique according to the present invention;
FIG. 4 is a schematic illustration of octree splitting according to the present invention;
FIG. 5 is a flow chart of the octree slicing technique of the present invention;
FIG. 6 is a flowchart of the cube and sub-body interaction calculation technique of the present invention;
FIG. 7 is a flow chart of LOD construction in accordance with the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, an octree-based power grid equipment model slicing method includes the following steps:
step 101: model analysis: the analysis and unification of the data format of the three-dimensional model of the power grid are realized, the format of the commonly used power grid equipment model is converted into a unified structure, the next optimization processing is convenient, and the commonly used format is FBX, IFC, OBJ, OSGB and comprises a texture model and a non-texture model;
step 102: the method comprises the steps of automatically constructing instantiation data, automatically constructing instantiation information aiming at a large number of devices and components with the same type of power grid device, realizing component level, device level, combined device and graphic object instantiation, solving the problem of repeated reference and repeated loading during rendering of objects, and optimizing the rendering data quantity to the greatest extent;
step 103: the texture data is intelligently compressed, a large number of texture pictures are provided in a three-dimensional model of the power grid equipment, and the size and the number of the texture pictures are compressed to the greatest extent by combining the texture pictures and reducing blank pixels on the premise that the picture identification degree is not lost by adopting a texture intelligent combining algorithm;
step 104: octree model slicing, singulation, and vertex optimization: realizing model slicing, realizing space region object segmentation based on octree structure, adopting different slicing strategies according to the complexity of the entity, generally adopting larger span slicing for building and large-scale entity and smaller span slicing for equipment entity; vertex merging and normal recalculation, wherein the power grid equipment model has high complexity and more tiny parts, a large number of repeated vertices are arranged in the modeling process, the merging of the repeated vertices is realized, unnecessary vertex numbers are reduced without losing model precision, and the normal is recalculated according to merged vertex results; the method comprises the steps of performing device and component singulation, wherein in the step, slicing singulation is realized in a vertex identification mode, and after each device or component entity is sliced, the identification number of the device or component entity is recorded by using a slice vertex, so that professional applications such as selection, display, hiding, analysis and the like of the device or component entity are realized; octree slicing is schematically shown in FIG. 4 and octree slicing flow is shown in FIG. 5.
Step 105: octree LOD construction: according to the set LOD simplifying parameters of each level, model slices are organized in an octree mode, three-dimensional model data of every 8 sub-nodes are combined into an integral three-dimensional model block from small sub-nodes, and simultaneously, vertexes and monomerized marks are reconstructed;
step 106: outputting the LOD slicing result according to the format requirement can be output in the gltf format and other common formats.
Referring to fig. 2, automatically building instantiation data includes the steps of:
step 1021: inputting model data E;
step 1022: reading a first equipment object E1;
step 1023: sequentially reading the first Sub-objects Sub1 to Sub x;
step 1024: sequentially comparing and calculating Sub1 with Sub2 to Sub x;
step 1025: judging whether the amounts of the outsourcing box and the polygon book are completely equal, if so, carrying out the next step, and if not, repeating the step 1022;
step 1026: instantiating records in a relational table;
step 1027: and outputting all sub-object instantiation relations of the model.
Referring to fig. 3, the intelligent compression of texture data includes the steps of:
step 1031: inputting model texture data;
step 1032: traversing all textures;
step 1033: determining whether there is a zero value, if so, proceeding to step 1034, if not, returning to step 1032;
step 1034: cutting all zero value areas;
step 1035: splicing all texture pictures into textures with pixel values not more than 1024 x 1024;
step 1036: recalculating texture coordinates and compressing textures;
step 1037: outputting the latest texture data.
Fig. 6 shows the technical flow of the calculation of the interaction of cubes and fruiting bodies, comprising the following steps:
the first step: inputting a model sub-object S1 and a current octree node cube;
and a second step of: sequentially reading 6 faces of the cube, and overlapping and intersecting with the sub-object S1;
and a third step of: judging whether an intersection exists, if so, performing a fourth step, and if not, returning to the second step;
fourth step: forming a new object Sn by intersecting the new edge and vertex data of sub-objects in the cube;
fifth step: assigning Sn to the vertex monomer identification of the S1, and simultaneously recalculating the vertex normal and the index;
sixth step: outputting the octree node slice three-dimensional data.
Referring to fig. 7, the flow steps of octree LOD construction are as follows:
step 1051: inputting octree structure model slice data;
step 1052: traversing N-level octree knots in sequence;
step 1053: combining and resampling the slice data of each node of the N-1 level to form new slice data;
step 1054: assigning the vertex monomer standard book of the new slice data, and simultaneously recalculating the vertex normal and the index;
step 1055: LOD data of the three-dimensional model is output.
The method comprises the steps that a to-be-processed refined model of the transformer substation needs to be exported in a format of FBX, OBJ, IFC and the like, and options of 'reserved examples', 'trigonometric algorithm' and the like in a max export option are selected during export, so that the model is uploaded to a server, and after an application system monitors that a new model is uploaded, a model source path and a sliced output path are automatically configured; and automatically configuring the path and the storage position of the temporary slicing file, configuring the spatial position information of slicing results, configuring a purchase starting slicing tool, slicing the model, and outputting the results to a designated folder after slicing.
The invention utilizes the mature octree structure and combines a plurality of model data optimization processing methods to form a novel enhanced octree power grid equipment model slicing method, fully optimizes the vertex and texture data quantity of a compression model, can greatly reduce network data transmission, and simultaneously reduces the occupation amount of hardware resources; meanwhile, the multiplexed equipment and components are instantiated, so that the rendering batch of the three-dimensional network application end can be effectively reduced, and the rendering efficiency is improved; by combining the generation of the multi-level LOD, only the current level data in the current window is needed to be loaded during rendering, so that the smooth application of the three-dimensional model of the power grid equipment can be realized; the adoption of the individualization strategy of the equipment and the components can ensure the individualization professional application of slice data. In the application of guaranteeing three-dimensional model data without plug-in WEB3DGIS, the method can realize efficient transmission, quick loading and smooth rendering of the model data based on common computer hardware equipment, and realize the individuation of equipment objects, thereby meeting the query and space analysis application of users.
The foregoing is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art, who is within the scope of the present invention, should be covered by the protection scope of the present invention by making equivalents and modifications to the technical solution and the inventive concept thereof.
Claims (4)
1. The power grid equipment model slicing method based on the octree is characterized by comprising the following steps of:
step 101: model analysis: the analysis and unification of the data format of the three-dimensional model of the power grid are realized, the format of the commonly used power grid equipment model is converted into a unified structure, the next optimization processing is convenient, and the commonly used format is FBX, IFC, OBJ, OSGB and comprises a texture model and a non-texture model;
step 102: automatically constructing instantiation data, and automatically constructing instantiation information aiming at a large number of devices and components with the same type of power grid devices, so as to realize component level and device level to combined device and graphic object instantiation;
step 103: the texture data is intelligently compressed, a large number of texture pictures are provided in a three-dimensional model of the power grid equipment, and the size and the number of the texture pictures are compressed to the greatest extent by merging the texture pictures and reducing blank pixels on the premise that the picture identification degree is not lost by adopting a texture intelligent merging algorithm;
step 104: octree model slicing, singulation, and vertex optimization: realizing model slicing, realizing space region object segmentation based on octree structure, adopting different slicing strategies according to the complexity of the entity, generally adopting larger span slicing for building and large-scale entity and smaller span slicing for equipment entity; recalculating normals according to the combined vertex result; the device and the component are subjected to monomer processing, and after each device or component is physically sliced, the identification number of the device or the component is recorded by using the slice vertex;
step 105: octree LOD construction: according to the set LOD simplifying parameters of each level, model slices are organized in an octree mode, three-dimensional model data of every 8 sub-nodes are combined into an integral three-dimensional model block from small sub-nodes, and simultaneously, vertexes and monomerized marks are reconstructed;
step 106: outputting the LOD slicing result according to the format requirement can be output in the gltf format and other common formats.
2. The octree-based grid device model slicing method of claim 1, wherein automatically constructing instantiation data comprises the steps of:
step 1021: inputting model data E;
step 1022: reading a first equipment object E1;
step 1023: sequentially reading the first Sub-objects Sub1 to Sub x;
step 1024: sequentially comparing and calculating Sub1 with Sub2 to Sub x;
step 1025: judging whether the amounts of the outsourcing box and the polygon book are completely equal, if so, carrying out the next step, and if not, repeating the step 1022;
step 1026: instantiating records in a relational table;
step 1027: and outputting all sub-object instantiation relations of the model.
3. The octree-based grid device model slicing method of claim 1, wherein the texture data intelligent compression comprises the steps of:
step 1031: inputting model texture data;
step 1032: traversing all textures;
step 1033: determining whether there is a zero value, if so, proceeding to step 1034, if not, returning to step 1032;
step 1034: cutting all zero value areas;
step 1035: splicing all texture pictures into textures with pixel values not more than 1024 x 1024;
step 1036: recalculating texture coordinates and compressing textures;
step 1037: outputting the latest texture data.
4. The octree-based power grid equipment model slicing method of claim 1, wherein the flow steps of octree LOD construction are as follows:
step 1051: inputting octree structure model slice data;
step 1052: traversing N-level octree knots in sequence;
step 1053: combining and resampling the slice data of each node of the N-1 level to form new slice data;
step 1054: assigning the vertex monomer standard book of the new slice data, and simultaneously recalculating the vertex normal and the index;
step 1055: LOD data of the three-dimensional model is output.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011177629.5A CN112258661B (en) | 2020-10-28 | 2020-10-28 | Power grid equipment model slicing method based on octree |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011177629.5A CN112258661B (en) | 2020-10-28 | 2020-10-28 | Power grid equipment model slicing method based on octree |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112258661A CN112258661A (en) | 2021-01-22 |
| CN112258661B true CN112258661B (en) | 2023-12-26 |
Family
ID=74262918
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011177629.5A Active CN112258661B (en) | 2020-10-28 | 2020-10-28 | Power grid equipment model slicing method based on octree |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112258661B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1790421A (en) * | 2001-11-27 | 2006-06-21 | 三星电子株式会社 | Apparatus and method for depth image-based representation of3-dimensional object |
| CN101561937A (en) * | 2009-05-27 | 2009-10-21 | 哈尔滨工业大学 | Big data size medical image three-dimensional interaction method based on common computer |
| GB201013340D0 (en) * | 2009-09-03 | 2010-09-22 | Logined Bv | Gridless geographical modelling |
| CN109544681A (en) * | 2018-11-26 | 2019-03-29 | 西北农林科技大学 | A kind of fruit three-dimensional digital method based on cloud |
| CN111161406A (en) * | 2019-12-26 | 2020-05-15 | 江西博微新技术有限公司 | GIM file visualization processing method, system, readable storage medium and computer |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018071013A1 (en) * | 2016-10-12 | 2018-04-19 | Hewlett-Packard Development Company, Lp | Sub-volume octrees |
-
2020
- 2020-10-28 CN CN202011177629.5A patent/CN112258661B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1790421A (en) * | 2001-11-27 | 2006-06-21 | 三星电子株式会社 | Apparatus and method for depth image-based representation of3-dimensional object |
| CN101561937A (en) * | 2009-05-27 | 2009-10-21 | 哈尔滨工业大学 | Big data size medical image three-dimensional interaction method based on common computer |
| GB201013340D0 (en) * | 2009-09-03 | 2010-09-22 | Logined Bv | Gridless geographical modelling |
| CN109544681A (en) * | 2018-11-26 | 2019-03-29 | 西北农林科技大学 | A kind of fruit three-dimensional digital method based on cloud |
| CN111161406A (en) * | 2019-12-26 | 2020-05-15 | 江西博微新技术有限公司 | GIM file visualization processing method, system, readable storage medium and computer |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112258661A (en) | 2021-01-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112287138B (en) | Organization scheduling method, device and equipment of city information model | |
| CN111161406B (en) | GIM file visualization processing method, system, readable storage medium and computer | |
| CN113870437A (en) | Digital twin BIM model conversion and lightweight method and device | |
| WO2022121525A1 (en) | Method and device for rendering three-dimensional scene data, storage medium, and electronic device | |
| CN106600700B (en) | Three-dimensional model data processing system | |
| CN111339599B (en) | Conversion method from BIM model to GIS model | |
| CN108986221A (en) | A kind of three-dimensional face grid texture method lack of standardization approached based on template face | |
| CN112419511B (en) | Three-dimensional model file processing method and device, storage medium and server | |
| CN112989482B (en) | BIM model data generation method and device and building method and device | |
| KR20030073424A (en) | A rendering system, rendering method, and recording medium therefor | |
| WO2023169095A1 (en) | Data processing method and apparatus, device, and medium | |
| CN113724401A (en) | Three-dimensional model cutting method and device, computer equipment and storage medium | |
| CN116340260A (en) | Building model data rendering method and device, electronic equipment and readable storage medium | |
| CN109272567A (en) | Model optimization method and apparatus | |
| CN115731354A (en) | Visual relationship-based power grid equipment three-dimensional twin model slice simplification method | |
| CN112258661B (en) | Power grid equipment model slicing method based on octree | |
| Xian et al. | Mesh simplification with appearance-driven optimizations | |
| US9070178B2 (en) | Method and system for organizing topology elements for better compression | |
| CN114170394B (en) | Method and device for optimizing display of massive inclined data on Web end | |
| CN111243092B (en) | Three-dimensional visualization system suitable for intelligent power community | |
| CN113032699A (en) | Robot model construction method, robot model construction device and robot processor | |
| Tariq et al. | Instanced model simplification using combined geometric and appearance-related metric | |
| CN113781641B (en) | Equipment management system applied to industrial Internet and model construction and display method | |
| Boada | An octree-based multiresolution hybrid framework | |
| CN109062679B (en) | Parallel processing-oriented vector data general partitioning method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |