CN112258661A - Power grid equipment model slicing method based on octree - Google Patents
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Abstract
The invention discloses an octree-based power grid equipment model slicing method, which is characterized in that a common power grid equipment model format is converted into a unified structure, a texture intelligent merging algorithm is adopted, texture pictures are merged, blank pixels are reduced, and the size and the number of the texture pictures are compressed to the maximum extent on the premise of not losing picture identification degree; according to the complexity of the entity, different slicing strategies are adopted, and after each device or component entity is sliced, the device or component entity identification number is recorded by using the top point of the slice; according to the set LOD simplified parameters of each level, model slices are organized in an octree mode, and three-dimensional model data of every 8 subnodes are combined into an integral three-dimensional model block from the subnodes. The invention combines three-dimensional model exemplary construction, texture compression, vertex optimization and octree-based slicing technology, improves the transmission efficiency of a data network, 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 methods: firstly, slicing a three-dimensional model and constructing an 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 phenomenon that excessive model data is loaded at one time to cause blocking and overhigh resource occupation is avoided; and thirdly, the computer hardware configuration is greatly improved by adopting a professional and graphic workstation, so that the rendering and application efficiency is improved.
When the method is applied to a power grid equipment model with abundant texture characteristics and highly-dense equipment, when the quantity of graphic data exceeds a certain quantity, the loading is too slow, the rendering is blocked, the computer is often crashed, and the efficient rendering and the universal application of a three-dimensional model of the power grid equipment cannot be realized.
Disclosure of Invention
The invention aims to provide an octree-based power grid equipment model slicing method, which combines three-dimensional model instantiation construction and texture compression, effectively improves the loading and rendering efficiency of a three-dimensional model of power grid equipment, improves the data network transmission efficiency, and can solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
a power grid equipment model slicing method based on octree comprises the following steps:
step 101: analyzing the model: the method has the advantages that the analysis and unification of the data format of the three-dimensional model of the power grid are realized, the common power grid equipment model format is converted into a unified structure, the next optimization processing is facilitated, and the common format is FBX, IFC, OBJ and OSGB and comprises a texture model and a non-texture model;
step 102: automatically constructing instantiation data, automatically constructing instantiation information aiming at a large number of devices and components with the same model of the power grid device, and realizing the instantiation of component level, device level to combined device and graphic objects;
step 103: intelligently compressing texture data, namely combining texture pictures and reducing the size and the number of blank pixels to compress the texture pictures to the maximum extent on the premise of not losing picture identification by adopting a texture intelligent combination algorithm when a three-dimensional model of power transmission and distribution network equipment is provided with a large number of texture pictures;
step 104: slicing, unitization and vertex optimization of the octree model: model slicing is realized, space region object segmentation is realized based on an octree structure, different slicing strategies are adopted according to the complexity of an entity, and generally, a large-span slice is adopted for a building and a large-scale entity, and a small-span slice is adopted for an equipment entity; recalculating a normal line according to the merged vertex result; the equipment and the part are processed in a single body, after each equipment or part entity is sliced, the identification number of the equipment or part entity is recorded by using the top point of the slice;
step 105: construction of octree LOD: according to the set LOD simplified parameters of each level, model slices are organized in an octree manner, from small child nodes, three-dimensional model data of every 8 child nodes are combined into an integral three-dimensional model block, and simultaneously, vertexes and monomer identifiers are reconstructed;
step 106: outputting LOD slicing results according to format requirements may be output as a gltf format and other common formats.
Further, automatically constructing instantiation data comprises the following steps:
step 1021: inputting model data E;
step 1022: read head device object E1;
step 1023: sequentially reading the first child objects Sub1 to Sub x;
step 1024: sequentially comparing and calculating Sub1 and Sub2 to Sub;
step 1025: judging whether the volumes of the outer box and the polygonal books are completely equal, if so, performing the next step, and if not, repeating the step 1022;
step 1026: recording in an instantiation relation table;
step 1027: and outputting all the child 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 the textures;
step 1033: judging whether a zero value exists, if so, performing a step 1034, and if not, returning to the step 1032;
step 1034: cutting all zero-value areas;
step 1035: splicing all texture pictures into textures with pixel values not larger than 1024 x 1024;
step 1036: recalculating texture coordinates and compressing textures;
step 1037: and 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: sequentially traversing N-level octree sections;
step 1053: merging the slice data of each node of the N-1 level, and resampling to form new slice data;
step 1054: assigning the vertex singleness index book of the new slice data, recalculating the vertex normal and recalculating the index;
step 1055: and outputting LOD data of the three-dimensional model.
Compared with the prior art, the invention has the beneficial effects that:
the slicing result obtained by the invention reserves the contents of a hierarchical structure, spatial position information, mapping texture information and the like in the construction of an original model, has good rendering index scheduling efficiency and has lower resource consumption. The method can provide good interactive roaming experience for the user, and can meet the requirements of the user on application function development of operation and maintenance assistance, asset management, space analysis, live-action patrol and the like, thereby providing good scene support. The method analyzes the characteristics of the three-dimensional refined model data, and provides a power grid refined model slicing technology based on the enhanced octree on the basis of the 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 refined three-dimensional model slicing technology of the power grid equipment based on the enhanced octree is superior to the mature three-dimensional slicing technology in the aspects of rendering efficiency and effect, data structure inheritance, resource occupancy rate and the like, has good applicability to the mainstream three-dimensional platform Ces i um, and is more suitable for processing the refined model of the power grid equipment.
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FIG. 1 is a schematic diagram of the overall implementation steps of the present invention;
FIG. 2 is a schematic diagram of an exemplary data flow for automated construction of the present invention;
FIG. 3 is a flow chart of a technique for performing texture compression according to the present invention;
FIG. 4 is a schematic diagram of octree segmentation according to the present invention;
FIG. 5 is a flow diagram of an octree slicing technique of the present invention;
FIG. 6 is a flow chart of the cube and fruiting body intersection calculation technique of the present invention;
FIG. 7 is a flow chart of LOD construction according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, a method for slicing a power grid device model based on octree includes the following steps:
step 101: analyzing the model: the method has the advantages that the analysis and unification of the data format of the three-dimensional model of the power grid are realized, the common power grid equipment model format is converted into a unified structure, the next optimization processing is facilitated, and the common format is FBX, IFC, OBJ and 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 model of power grid devices, realizing the instantiation of graphic objects from component level, device level to combination device and solving the problem of repeated loading when objects are repeatedly quoted and rendered, and optimizing the amount of rendering data to the maximum extent;
step 103: intelligently compressing texture data, namely combining texture pictures and reducing the size and the number of blank pixels to compress the texture pictures to the maximum extent on the premise of not losing picture identification by adopting a texture intelligent combination algorithm when a three-dimensional model of power transmission and distribution network equipment is provided with a large number of texture pictures;
step 104: slicing, unitization and vertex optimization of the octree model: model slicing is realized, space region object segmentation is realized based on an octree structure, different slicing strategies are adopted according to the complexity of an entity, and generally, a large-span slice is adopted for a building and a large-scale entity, and a small-span slice is adopted for an equipment entity; vertex merging and normal line recalculation, wherein the power grid equipment model is high in complexity and many in small parts, and a large number of repeated vertexes are generated in the modeling process; the method comprises the following steps of (1) equipment and part individuation treatment, wherein in the step, the mode of vertex identification is adopted to realize the individuation of slices, and after each equipment or part entity is sliced, the identification number of the equipment or part entity is recorded by using the vertex of the slice, so that the professional application of the equipment or part entity such as selection, display and hiding, analysis and the like is realized; octree slicing is schematically shown in FIG. 4, and octree slicing flow is shown in FIG. 5.
Step 105: construction of octree LOD: according to the set LOD simplified parameters of each level, model slices are organized in an octree manner, from small child nodes, three-dimensional model data of every 8 child nodes are combined into an integral three-dimensional model block, and simultaneously, vertexes and monomer identifiers are reconstructed;
step 106: outputting LOD slicing results according to format requirements may be output as a gltf format and other common formats.
Referring to fig. 2, automatically constructing instantiation data comprises the steps of:
step 1021: inputting model data E;
step 1022: read head device object E1;
step 1023: sequentially reading the first child objects Sub1 to Sub x;
step 1024: sequentially comparing and calculating Sub1 and Sub2 to Sub;
step 1025: judging whether the volumes of the outer box and the polygonal books are completely equal, if so, performing the next step, and if not, repeating the step 1022;
step 1026: recording in an instantiation relation table;
step 1027: and outputting all the child object instantiation relations of the model.
Referring to fig. 3, the intelligent compression of texture data includes the following steps:
step 1031: inputting model texture data;
step 1032: traversing all the textures;
step 1033: judging whether a zero value exists, if so, performing a step 1034, and if not, returning to the step 1032;
step 1034: cutting all zero-value areas;
step 1035: splicing all texture pictures into textures with pixel values not larger than 1024 x 1024;
step 1036: recalculating texture coordinates and compressing textures;
step 1037: and outputting the latest texture data.
FIG. 6 shows a technical process of cube-fruiting body intersection calculation, which comprises the following steps:
the first step is as follows: inputting a model child object S1 and a current octree node cube;
the second step is that: sequentially reading 6 faces of the cube, and overlapping and intersecting with the sub-object S1;
the third step: judging whether an intersection exists, if so, performing the fourth step, and if not, returning to the second step;
the fourth step: forming a new object Sn by the intersected new edge and the data of the vertex of the sub-object in the cube;
the fifth step: assigning Sn to the vertex single identification of S1, recalculating the vertex normal and recalculating the index;
and a sixth step: and outputting the octree node slice three-dimensional data.
Referring to fig. 7, the flow steps for constructing the octree LOD are as follows:
step 1051: inputting octree structure model slice data;
step 1052: sequentially traversing N-level octree sections;
step 1053: merging the slice data of each node of the N-1 level, and resampling to form new slice data;
step 1054: assigning the vertex singleness index book of the new slice data, recalculating the vertex normal and recalculating the index;
step 1055: and outputting LOD data of the three-dimensional model.
The refined model of the transformer substation to be processed needs to be exported into formats such as FBX, OBJ, IFC and the like, the options such as 'reserved example', 'triangular algorithm' and the like of max export option China are selected during exporting, then 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; the method comprises the steps of automatically configuring the path and the storage position of a temporary slicing file, configuring the spatial position information of a slicing result, configuring a tool for purchasing and starting the slicing, slicing the model, and outputting the result to an appointed folder after slicing is completed.
According to the method, a mature octree structure is utilized, and a plurality of model data optimization processing methods are combined to form a novel enhanced octree power grid equipment model slicing method, so that the vertex and texture data volume of a compression model are fully optimized, network data transmission can be greatly reduced, and the occupation of hardware resources is reduced; 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 multilevel LOD, the smooth application of the three-dimensional model of the power grid equipment can be realized only by loading the current level data in the current window during rendering; and the adoption of a monomer strategy of equipment and parts can ensure the monomer professional application of the slice data. The method can realize efficient transmission, quick loading and smooth rendering of the model data based on common computer hardware equipment in the application of the plug-in-free WEB3DGIS (WEB-based object-oriented services interface) of the three-dimensional model data, realize equipment object singleization and meet the requirements of user query and space analysis application.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (4)
1. A power grid equipment model slicing method based on octree is characterized by comprising the following steps:
step 101: analyzing the model: the method has the advantages that the analysis and unification of the data format of the three-dimensional model of the power grid are realized, the common power grid equipment model format is converted into a unified structure, the next optimization processing is facilitated, and the common format is FBX, IFC, OBJ and OSGB and comprises a texture model and a non-texture model;
step 102: automatically constructing instantiation data, automatically constructing instantiation information aiming at a large number of devices and components with the same model of the power grid device, and realizing the instantiation of component level, device level to combined device and graphic objects;
step 103: intelligently compressing texture data, namely combining texture pictures, reducing blank pixels and compressing the size and the number of the texture pictures to the maximum extent on the premise of not losing picture identification by adopting a texture intelligent combination algorithm when a three-dimensional model of power transmission and distribution network equipment is provided with a large number of texture pictures;
step 104: slicing, unitization and vertex optimization of the octree model: model slicing is realized, space region object segmentation is realized based on an octree structure, different slicing strategies are adopted according to the complexity of an entity, and generally, a large-span slice is adopted for a building and a large-scale entity, and a small-span slice is adopted for an equipment entity; recalculating a normal line according to the merged vertex result; the equipment and the part are processed in a single body, after each equipment or part entity is sliced, the identification number of the equipment or part entity is recorded by using the top point of the slice;
step 105: construction of octree LOD: according to the set LOD simplified parameters of each level, model slices are organized in an octree manner, from small child nodes, three-dimensional model data of every 8 child nodes are combined into an integral three-dimensional model block, and simultaneously, vertexes and monomer identifiers are reconstructed;
step 106: outputting LOD slicing results according to format requirements may be output as a gltf format and other common formats.
2. The octree-based power grid device model slicing method according to claim 1, wherein automatically constructing instantiation data comprises the steps of:
step 1021: inputting model data E;
step 1022: read head device object E1;
step 1023: sequentially reading the first child objects Sub1 to Sub x;
step 1024: sequentially comparing and calculating Sub1 and Sub2 to Sub;
step 1025: judging whether the volumes of the outer box and the polygonal books are completely equal, if so, performing the next step, and if not, repeating the step 1022;
step 1026: recording in an instantiation relation table;
step 1027: and outputting all the child object instantiation relations of the model.
3. The octree-based power grid device model slicing method according to claim 1, wherein the smart compression of texture data comprises the steps of:
step 1031: inputting model texture data;
step 1032: traversing all the textures;
step 1033: judging whether a zero value exists, if so, performing a step 1034, and if not, returning to the step 1032;
step 1034: cutting all zero-value areas;
step 1035: splicing all texture pictures into textures with pixel values not larger than 1024 x 1024;
step 1036: recalculating texture coordinates and compressing textures;
step 1037: and outputting the latest texture data.
4. The octree-based power grid equipment model slicing method according to claim 1, wherein the octree LOD is constructed by the following steps:
step 1051: inputting octree structure model slice data;
step 1052: sequentially traversing N-level octree sections;
step 1053: merging the slice data of each node of the N-1 level, and resampling to form new slice data;
step 1054: assigning the vertex singleness index book of the new slice data, recalculating the vertex normal and recalculating the index;
step 1055: and outputting LOD data of the three-dimensional model.
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