CN114972664B - Integrated management method for urban full-space three-dimensional model data - Google Patents
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Abstract
A method for integrated management of urban full-space three-dimensional model data comprises the following steps: integrating, managing and distributing storage of the multi-source three-dimensional model; constructing a lightweight full-space three-dimensional model; fast rendering is carried out on multi-source heterogeneous mass three-dimensional data; and analyzing and applying the three-dimensional model through the browser end. The invention takes urban geological full-three-dimensional integration as a center, researches on three-dimensional model data unification, data fusion, data organization, data service release, data calling, data application and the like are carried out, so that multi-source three-dimensional model data fusion, lightweight full-space three-dimensional model construction and massive three-dimensional model rendering are realized, and a construction thought is provided for urban geological full-three-dimensional integration. The method solves the problems of efficiently managing and effectively utilizing the complex and massive data to solve various complex geology.
Description
Technical Field
The invention relates to the field of space three-dimensional models, in particular to a method for integrated management of urban full-space three-dimensional model data.
Background
The three-dimensional geological model combines related technical tools such as spatial information management, geological interpretation, spatial analysis, geostatistical statistics and prediction, computer graphics, three-dimensional graphic visualization and the like in a three-dimensional spatial environment, and understands, expresses and reproduces the geological body and the geological environment in a digital form, so that the three-dimensional visualization and geospatial statistical analysis of the geological model are realized, and further help is provided for urban geological engineering design, construction and decision making. The large-scale high-precision urban three-dimensional geological model can realize the effective integration of multi-source data, and is beneficial to improving the visual expression capability of urban geological work results. With the development and application of three-dimensional geological information systems, and the urgent demands of visual expression of geochemical data, the storage, organization and management of mass data have become a bottleneck restricting the development of the three-dimensional geological information systems. Meanwhile, how to efficiently manage and effectively utilize the complex and massive data to solve various complex geological problems is an urgent problem to be solved in the research of the field of geological information science.
Disclosure of Invention
In view of the foregoing, the present invention has been made to provide a method for integrated management of urban full-space three-dimensional model data that overcomes or at least partially solves the foregoing problems.
In order to solve the technical problems, the embodiment of the application discloses the following technical scheme:
a method for integrated management of urban full-space three-dimensional model data comprises the following steps:
integrating, managing and distributing storage of the multi-source three-dimensional model;
constructing a lightweight full-space three-dimensional model;
fast rendering is carried out on multi-source heterogeneous mass three-dimensional data;
and analyzing and applying the three-dimensional model through the browser end.
Further, the integrated fusion management and distributed storage of the multi-source three-dimensional model comprises: the multi-source data fusion and the multi-source three-dimensional geological model integration fusion; the multi-source data fusion comprises a unified time reference and a unified data format; the multi-source three-dimensional geological model integration comprises three-dimensional geological model transverse integration, three-dimensional geological model longitudinal integration and three-dimensional geological model multi-scale integration.
Further, the specific method for transversely fusing the three-dimensional geological model comprises the following steps: firstly, dividing space cells of a three-dimensional geological model; then forming a series of unit cells by uniform cross sections in the space; then, constructing a geological interface in each cell and forming a block model in the cell; finally, the blocks in all the cells are combined to form the final geological model which is organized by stratum.
Further, the multi-scale fusion process of the three-dimensional geological model comprises the following steps:
s100, dividing the whole three-dimensional geologic body into eight geologic bodies, wherein each geologic body is adjacent to each other but not overlapped, and a first scale model formed by the geologic bodies is a fine three-dimensional geologic model;
s200, combining eight adjacent geologic bodies under an initial scale into one geologic body according to a spatial adjacent relation;
s300, coarsening eight adjacent grid units in space in the combined geologic body, wherein the coarsening needs to consider the influence of faults on coarsening, and different methods are needed to coarsen the attributes of scalar and vector;
s400, if all adjacent grids in the geological body obtained through merging are already merged, jumping to S500; if there is an undestroyed mesh, continuing to S300;
s500, if the block which is not combined exists in the geologic body data set under the initial scale, continuing to carry out S200-S400; if the combination processing is carried out on each geologic body, all the combination results form a geologic body data set of the next scale;
s600, after the three-dimensional geological model under the target scale is obtained, if the three-dimensional geological model under the next scale needs to be continuously constructed, continuing to use the result obtained in the S500 as an initial geological body data set to obtain S200-S500; if the model under the next scale is not required to be constructed, the three-dimensional geological model under each scale obtained in all the steps is the multi-scale model of the geological body.
Further, constructing the lightweight full-space three-dimensional model includes: and constructing a multi-level detail model, carrying out three-dimensional model data space indexing, carrying out three-dimensional model compression and carrying out three-dimensional model network service release.
Further, the construction of the multi-level detail model specifically comprises the following steps: three-dimensional model data partitioning and hierarchical detail processing, wherein the three-dimensional model data partitioning comprises partitioning digital elevation data, image data, a ground object model and a ground body model; the method comprises the steps of adopting a quadtree splitting method for DEM data, image data and a ground object model, and adopting an octree splitting method for a ground object model.
Further, the three-dimensional model compression adopts predictive correction coding, and is divided into three steps: vertex coordinate quantization, prediction and entropy coding; firstly normalizing a geometric model into a unit cube, and quantizing vertex coordinates with given precision to reduce redundant data; then predicting other vertex coordinates using the coordinates of some existing vertices, and calculating a prediction correction amount; and finally, encoding the correction amount.
Further, the three-dimensional model network service is released, and a scene service and a visual service are constructed through an M3D service and a WebGL client in a full-space three-dimensional model data format and a service interface specification.
Further, the fast rendering of the multi-source heterogeneous mass three-dimensional data includes:
the data caching strategy and the asynchronous calling technology are adopted to realize two efficient scheduling strategies, so that the data transmission pressure of mass geological models in a large-scale scene is relieved, and the running stability is ensured;
carrying out real-time dynamic management on large-scale complex scene data; when the scene data is dynamically managed in real time, determining the region and the hierarchy where the target sub-scene data is located according to the current viewpoint position and the current sight angle, and realizing the real-time dynamic scheduling of the data;
the method comprises the steps of dynamically scheduling a large-scale three-dimensional geological model in real time, and rapidly acquiring three-dimensional scene data through an efficient web dynamic scheduling framework, so that scene real-time updating and data real-time loading are realized;
the quick rendering of the data is realized through parallel rendering based on a data parallel mode;
and the CPU and GPU collaborative computing dynamic load balancing is realized by adopting a CPU and GPU parallel programming model, task division of multiple GPU nodes, visual fusion of multiple nodes, multiple node fault tolerance, data or task scheduling and load balancing and other technologies.
Further, analyzing and applying the three-dimensional model through the browser end at least comprises: three-dimensional scene interaction, geospatial analysis, underground engineering geological analysis, stress field numerical simulation and geological attribute interpolation calculation.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the invention discloses a method for integrated management of urban full-space three-dimensional model data, which comprises the following steps: integrating, managing and distributing storage of the multi-source three-dimensional model; constructing a lightweight full-space three-dimensional model; fast rendering is carried out on multi-source heterogeneous mass three-dimensional data; and analyzing and applying the three-dimensional model through the browser end. The invention takes urban geological full-three-dimensional integration as a center, researches on three-dimensional model data unification, data fusion, data organization, data service, data calling, data application and the like are carried out, so that multi-source three-dimensional model data fusion, lightweight full-space three-dimensional model construction and massive three-dimensional model rendering are realized, and a construction thought is provided for urban geological full-three-dimensional integration. The method solves the problems of efficiently managing and effectively utilizing the complex and massive data to solve various complex geology.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a flowchart of a method for integrated management of urban full-space three-dimensional model data in embodiment 1 of the invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to solve the problems in the prior art, the embodiment of the invention provides a method for integrated management of urban full-space three-dimensional model data.
Example 1
A method for integrated management of urban full-space three-dimensional model data, as shown in figure 1, comprises the following steps:
integrating, managing and distributing storage of the multi-source three-dimensional model; specifically, with the development and utilization of urban geology, the development of large-scale, large-depth, comprehensive, networking and three-dimensional development, the integration of various spatial models is urgently needed to realize the on-ground and underground integrated visual analysis of regional topography, and technical support is provided for the bearing capacity evaluation of geological resource environment. At present, some cities have built regional three-dimensional geological simulation systems, but only three-dimensional model deduction is carried out through sections, comprehensive expression of geology, engineering, special phenomena and the like is difficult to achieve, a data model is single, earth surface, stratum and underground engineering models are independently modeled, and the integration degree of modeling theory and method is low. With the development of three-dimensional technology and geographic information technology, the integrated display of an integral region model with complex spatial morphology and consistent topological relation of a constructed region becomes a current research hotspot. The integrated design of the integrated data model, the integrated space expression, the integrated space analysis and the integrated development mode is adopted, so that the underground and overground seamless roaming and deep application can be realized, and the integrated design is a future development trend. The embodiment realizes the integrated fusion management of the multi-source three-dimensional model from the integrated fusion of the unified space-time reference, the unified data format and the multi-source three-dimensional geological model.
In this embodiment, the integrated fusion management and distributed storage of the multi-source three-dimensional model includes: the multi-source data fusion and the multi-source three-dimensional geological model integration fusion; the multi-source data fusion comprises a unified time reference and a unified data format; the multi-source three-dimensional geological model integration comprises three-dimensional geological model transverse integration, three-dimensional geological model longitudinal integration and three-dimensional geological model multi-scale integration.
Specifically, the date in the time reference should be an epoch of lunar calendar, and the time should be Beijing time. The coordinate reference is unified to a 2000 national geodetic coordinate system, and the elevation reference is unified to a 1985 national elevation system. And various satellite navigation positioning reference stations are comprehensively utilized to provide high-precision real-time position service. After unifying the space-time reference, the method can ensure that the multi-scale and multi-type vector data, the three-dimensional data and the multi-resolution image data have time consistency, and unify the space-time reference so as to enable various thematic information to be overlapped and integrated on one image and better support the application requirements of urban geological informatization construction.
Aiming at multi-source space data related in urban geological construction, the multi-source space data comprises vector data, image data, BIM models, 3dmax models (.3ds), oblique photography (.osgb), attribute models (evs, modelflow,. Eff), DOM data, DEM data and the like, a unified data format of the three-dimensional geological model is developed, and seamless integration of the multi-source three-dimensional geological model is realized. The embodiment focuses on researching a mainstream three-dimensional model data format unification technology at home and abroad, and mainly comprises the following steps: three-dimensional geological model data conversion based on Geo3DML, three-dimensional model data conversion of international mainstream, format mutual conversion of vector three-dimensional structure data and grid three-dimensional attribute model data.
In this embodiment, the specific method for transverse fusion of the three-dimensional geologic model is as follows: firstly, dividing space cells of a three-dimensional geological model; then forming a series of unit cells by uniform cross sections in the space; then, constructing a geological interface in each cell and forming a block model in the cell; finally, the blocks in all the cells are combined to form the final geological model which is organized by stratum.
In this embodiment, the process of multi-scale fusion of the three-dimensional geologic model is:
s100, dividing the whole three-dimensional geologic body into eight geologic bodies, wherein each geologic body is adjacent to each other but not overlapped, and a first scale model formed by the geologic bodies is a fine three-dimensional geologic model;
s200, combining eight adjacent geologic bodies under an initial scale into one geologic body according to a spatial adjacent relation;
s300, coarsening eight adjacent grid units in space in the combined geologic body, wherein the coarsening needs to consider the influence of faults on coarsening, and different methods are needed to coarsen the attributes of scalar and vector;
s400, if all adjacent grids in the geological body obtained through merging are already merged, jumping to S500; if there is an undestroyed mesh, continuing to S300;
s500, if the block which is not combined exists in the geologic body data set under the initial scale, continuing to carry out S200-S400; if the combination processing is carried out on each geologic body, all the combination results form a geologic body data set of the next scale;
s600, after the three-dimensional geological model under the target scale is obtained, if the three-dimensional geological model under the next scale needs to be continuously constructed, continuing to use the result obtained in the S500 as an initial geological body data set to obtain S200-S500; if the model under the next scale is not required to be constructed, the three-dimensional geological model under each scale obtained in all the steps is the multi-scale model of the geological body.
Constructing a lightweight full-space three-dimensional model; the scaling of three-dimensional geologic models is accomplished by a level of detail model technique (LOD). The principle of the LOD technology is to simplify a complex model to a certain extent, so that the model can generate a model with multiple layers of details, but the condition of the simplification is that we cannot influence the three-dimensional display effect of the model. The model simplification is to minimize the time and space required for rendering the model by reducing the data volume expressing the detailed information of the model surface, and obtain a satisfactory visual effect in practical demands.
In this implementation, building the lightweight full-space three-dimensional model includes: and constructing a multi-level detail model, carrying out three-dimensional model data space indexing, carrying out three-dimensional model compression and carrying out three-dimensional model network service release.
Specifically, the construction of the multi-level detail model specifically comprises the following steps: three-dimensional model data partitioning and hierarchical detail processing, wherein the three-dimensional model data partitioning comprises partitioning digital elevation data, image data, a ground object model and a ground body model; the method comprises the steps of adopting a quadtree splitting method for digital elevation data, image data and a ground object model, and adopting an octree splitting method for a ground object model. Specifically, the LOD technology organizes three-dimensional geologic model data in the form of a deep octree, and finally performs overall planning and integration of the model. The memory and the disk are two layers which need important consideration for mass data processing, the octree is stored in the memory, and the file corresponding to the node is stored in the external memory. The use of breadth octree to enable the storage of large-scale data fields can be considered an improvement in the method of representing a body with a three-dimensional voxel array. The depth octree divides the volume data into a plurality of small volumes, and each division is to divide each sub-volume into 8 parts, namely, one sub-volume is equally divided by 8, and finally, one full octree is obtained. Each node of the octree obtained after the segmentation is completed corresponds to a file in one disk, and the file sizes are the same.
In this embodiment, three-dimensional model compression adopts predictive correction coding, which is divided into three steps: vertex coordinate quantization, prediction and entropy coding; firstly normalizing a geometric model into a unit cube, and quantizing vertex coordinates with given precision to reduce redundant data; then predicting other vertex coordinates using the coordinates of some existing vertices, and calculating a prediction correction amount; and finally, encoding the correction amount. Specifically, since the correction amount generally exhibits a probability distribution with zero mean value, entropy encoding such as Huffman encoding or arithmetic encoding is often employed in encoding it. The three-dimensional model is compressed to reduce redundant information in model data (topological structure, vertex position coordinates and attribute information), vertex coordinates, vertex normal vectors and texture information are encoded and compressed together, and detailed information of the grid model is not reduced. The method for coding compression does not change the shape, structure and topological relation of the model, the types and the number of the primitives forming the model are not changed, and the quick decompression at the client can be realized. Encoding and decoding span programming languages, java language is used when the model is compressed, and JavaScript is needed to decompress the data stream when the model is exposed by using a graphic library during decompression. Considering that the default text transmission coding on the network is UTF-8 coding, the invention carries out UTF-8 coding on the difference value of the predicted data, unifies the difference value and the difference value, is favorable for network transmission, and can fully utilize a function library of JavaScript to decode the difference value. And quantizing the vertex information data, not quantizing the patch information, optimizing the vertex index sequence, and optimizing and sequencing the patch information so that the prediction correction amount is smaller.
In this embodiment, the three-dimensional model network service is released, and the scene service and the view service are implemented by the M3D service and WebGL client in the full-space three-dimensional model data format and service interface specification.
Specifically, the M3D (Model of 3D Data) full-space three-dimensional Model Data sharing standard is an open and extensible three-dimensional Data format, and provides a specific specification of Data formats for transmission, exchange and sharing of massive multi-source heterogeneous space three-dimensional Model Data among different terminals. The method is suitable for transmission and analysis of massive and multi-source heterogeneous three-dimensional geographic space data and Web environments, and supports storage, efficient drawing, sharing, interoperation and the like of the multi-source three-dimensional geographic space data in geographic information platforms of different terminals (mobile equipment, browser and desktop computer). The M3D service interface complies with RESTful design specification, and the service can be invoked by a three-dimensional client. The method specifically comprises an M3D data information acquisition service, a public resource acquisition service, a root node information acquisition service, a node description information acquisition service, a node data information acquisition service, a geometric information acquisition service, an attribute information acquisition service and a texture information acquisition service.
Specifically, webGL is a 3D drawing protocol, which allows JavaScript and OpenGL ES 2.0 to be combined together, and by adding a JavaScript binding of OpenGL ES 2.0, webGL can provide hardware 3D accelerated rendering for HTML5 Canvas, so that Web developers can more smoothly show 3D scenes and models in a browser by means of a system graphics card, and can create complex navigation and data visualization.
Fast rendering is carried out on multi-source heterogeneous mass three-dimensional data; in this embodiment, the fast rendering of the multi-source heterogeneous mass three-dimensional data includes:
the first step, two high-efficiency scheduling strategies, namely a data caching strategy and an asynchronous calling technology, are adopted to relieve the data transmission pressure of mass geological models in a large-scale scene and ensure the operation stability. The data caching strategy aims at the problems of server-side multi-user request and frequent database query, and a data caching pool is designed on the server to cache the data commonly used by the user, so that the network resources can be fully utilized. Asynchronous call techniques are those where when a server needs a long time to process a data request from a client, the calling thread returns in time, places the method to be called on a new thread for running, and executes in the background without affecting other behavior of the calling method.
And secondly, carrying out real-time dynamic management on the large-scale complex scene data. And when the scene data is dynamically managed in real time, determining the region and the hierarchy where the target sub-scene data is located according to the current viewpoint position and the current sight angle, and realizing the real-time dynamic scheduling of the data. The method comprises the steps of determining the area and the specific level of a drawn scene by adopting a visibility eliminating algorithm and a screen error evaluation function, wherein the visibility eliminating algorithm eliminates the invisible part by carrying out visibility judgment on space geometric data, thereby reducing the complexity of the scene and the burden of a graphics pipeline and improving the rendering efficiency.
Thirdly, carrying out real-time dynamic scheduling on the large-scale three-dimensional geological model, and rapidly acquiring three-dimensional scene data through an efficient web dynamic scheduling frame, so that scene real-time updating and real-time loading of data are realized.
And fourthly, realizing quick rendering of the data by parallel rendering based on a data parallel mode. The data parallel rendering mode is aimed at a real-time image rendering process, performs data parallel processing on geometric or raster phases in an image drawing pipeline, realizes processing such as vertex and polygon transformation, projection, screen mapping and the like in the geometric phase, and converts the vertex of a screen space into pixels in the raster phase.
Fifth, based on different architecture characteristics of the CPU and the GPU, the invention designs a parallel visualization model of the CPU and the GPU under heterogeneous cluster environment with high performance, high reliability and strong expansibility, which is oriented to the heterogeneous parallel technology of the CPU and the GPU of the large-scale complex three-dimensional scene visualization. The CPU and GPU collaborative computing dynamic load balancing is realized by adopting a CPU+GPU parallel programming model, task division of multiple GPU nodes, visual fusion of multiple nodes, multiple node fault tolerance, data/task scheduling and load balancing and other technologies, the number of the nodes is increased when the number of the tasks is large, and a small number of nodes are selected when the number of the tasks is small, so that good parallel effect is ensured, and real-time performance, flexibility and universality of a parallel strategy are ensured.
And analyzing and applying the three-dimensional model through the browser end. In practical application, it is often required to perform analysis and calculation on a geological space by adopting a numerical simulation method on the basis of a three-dimensional geological model, wherein the analysis and calculation include attribute statistics, volume calculation, attribute interpolation calculation and the like in the analysis of the geological space, and stress calculation, grade calculation, earth surface mapping, seismic simulation, foundation pile stress analysis, basement bearing analysis, subway tunnel construction simulation research and the like.
In this embodiment, the analysis and application of the three-dimensional model by the browser end at least includes: three-dimensional scene interaction, geospatial analysis, underground engineering geological analysis, stress field numerical simulation and geological attribute interpolation calculation.
Specifically, for three-dimensional scene interaction, the system also provides a three-dimensional scene interaction function on the basis of realizing large-scale three-dimensional geological model visualization. By capturing interactive events triggered by the user operating a mouse, keyboard, etc., and performing corresponding actions, such as processing directly locally or transmitting to a server for processing. In terms of scene rendering functionality, the system supports a mode of downloading model data from a server and rendering a scene at a browser. The user can realize various interactive operations through the mainstream browser, including: the interactive functions of free observation, free sectioning, digging and the like are realized.
For geospatial analysis. Geospatial analysis is a technique and process for analyzing based on geospatial data to extract new geospatial information, which is one of the main functions of a geospatial information system, and is a marker for evaluating whether a geospatial information system is "useful" or not, and has become an important component of the "glass homeland" technical system. The unified mixed voxel geologic body model taking the geometrical relationship, topological relationship and semantic relationship of the geologic space into consideration can be used and viewed, and the geologic space analysis is one evaluation index. For geological themes, the geospatial analysis can be divided into a geostatistical analysis, geospatial interpolation, geological body sectioning analysis, stress strain analysis, ore body characteristic analysis, geological structure analysis and the like.
And (5) geological analysis, optimal design and rapid construction of underground engineering. The underground engineering mainly refers to an underground cavity group in the hydraulic and hydroelectric engineering for arranging hydropower stations underground, and also comprises underground buildings such as diversion tunnels, flood discharge tunnels and the like. Clearly, the design and construction of these underground works is not separated from the clear knowledge and analysis of the geological conditions of the region where they are located, which is often difficult to grasp. Therefore, according to various underground engineering schemes designed by designers, excavation simulation is carried out in the existing three-dimensional geological model or rock-level model, objective geological evaluation of each scheme can be rapidly obtained, and scheme design is assisted to be adjusted and optimized; and for the determined scheme, the model can be fed back and updated in combination with the construction condition, so that macroscopic geological prediction is further provided for underground engineering construction, and the construction efficiency is improved.
For stress field numerical simulations, the intensity of the formation activity reflects the magnitude of the formation stress values. Under the condition that boundary conditions are known, the numerical simulation method is an effective method for determining the ancient stress field at present, and can determine the magnitude of the ancient stress value in the concave part and the direction of the ancient stress, which plays an important role in understanding the structural mechanism of the concave part.
For geologic attribute interpolation computation, due to lack of three-dimensional subsurface geologic modeling information, necessary interpolation computation processing is required. Three-dimensional geologic modeling geologic objects are modeled in two parts, namely, space geometric modeling and internal attribute modeling. The general modeling process is to build a space geometric model and then build a space attribute model.
The embodiment discloses a method for integrated management of urban full-space three-dimensional model data, which comprises the following steps: integrating, managing and distributing storage of the multi-source three-dimensional model; constructing a lightweight full-space three-dimensional model; fast rendering is carried out on multi-source heterogeneous mass three-dimensional data; and analyzing and applying the three-dimensional model through the browser end. The invention takes urban geological full-three-dimensional integration as a center, researches on three-dimensional model data unification, data fusion, data organization, data service, data calling, data application and the like are carried out, so that multi-source three-dimensional model data fusion, lightweight full-space three-dimensional model construction and massive three-dimensional model rendering are realized, and a construction thought is provided for urban geological full-three-dimensional integration. The method solves the problems of efficiently managing and effectively utilizing the complex and massive data to solve various complex geology.
It should be understood that the specific order or hierarchy of steps in the processes disclosed are examples of exemplary approaches. Based on design preferences, it is understood that the specific order or hierarchy of steps in the processes may be rearranged without departing from the scope of the present disclosure. The accompanying method claims present elements of the various steps in a sample order, and are not meant to be limited to the specific order or hierarchy presented.
In the foregoing detailed description, various features are grouped together in a single embodiment for the purpose of streamlining the disclosure. This method of disclosure is not to be interpreted as reflecting an intention that the claimed embodiments of the subject matter require more features than are expressly recited in each claim. Rather, as the following claims reflect, invention lies in less than all features of a single disclosed embodiment. Thus the following claims are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate preferred embodiment of this invention.
Those of skill would further appreciate that the various illustrative logical blocks, modules, circuits, and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both. To clearly illustrate this interchangeability of hardware and software, various illustrative components, blocks, modules, circuits, and steps have been described above generally in terms of their functionality. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the overall system. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present disclosure.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC. The ASIC may reside in a user terminal. The processor and the storage medium may reside as discrete components in a user terminal.
For a software implementation, the techniques described herein may be implemented with modules (e.g., procedures, functions, and so on) that perform the functions described herein. These software codes may be stored in memory units and executed by processors. The memory unit may be implemented within the processor or external to the processor, in which case it can be communicatively coupled to the processor via various means as is known in the art.
The foregoing description includes examples of one or more embodiments. It is, of course, not possible to describe every conceivable combination of components or methodologies for purposes of describing the aforementioned embodiments, but one of ordinary skill in the art may recognize that many further combinations and permutations of various embodiments are possible. Accordingly, the embodiments described herein are intended to embrace all such alterations, modifications and variations that fall within the scope of the appended claims. Furthermore, as used in the specification or claims, the term "comprising" is intended to be inclusive in a manner similar to the term "comprising," as interpreted when employed as a transitional word in a claim. Furthermore, any use of the term "or" in the specification of the claims is intended to mean "non-exclusive or".
Claims (8)
1. The method for integrated management of the urban full-space three-dimensional model data is characterized by comprising the following steps of:
integrating, managing and distributing storage of the multi-source three-dimensional model;
constructing a lightweight full-space three-dimensional model;
fast rendering is carried out on multi-source heterogeneous mass three-dimensional data;
analyzing and applying the three-dimensional model through a browser end;
wherein, for multisource three-dimensional model integration fusion management and distributed storage include: the multi-source data fusion and the multi-source three-dimensional geological model integration fusion; the multi-source data fusion comprises a unified time reference and a unified data format; the multi-source three-dimensional geological model integrated fusion comprises three-dimensional geological model transverse fusion, three-dimensional geological model longitudinal fusion and three-dimensional geological model multi-scale fusion; the specific method for the transverse fusion of the three-dimensional geological model comprises the following steps: firstly, dividing space cells of a three-dimensional geological model; then forming a series of unit cells by uniform cross sections in the space; then, constructing a geological interface in each cell and forming a block model in the cell; finally, the blocks in all the cells are combined to form the final geological model which is organized by stratum.
2. The method for integrated management of urban full-space three-dimensional model data according to claim 1, wherein the process of multi-scale fusion of the three-dimensional geological model is as follows:
s100, dividing the whole three-dimensional geologic body into eight geologic bodies, wherein each geologic body is adjacent to each other but not overlapped, and a first scale model formed by the geologic bodies is a fine three-dimensional geologic model;
s200, combining eight adjacent geologic bodies under an initial scale into one geologic body according to a spatial adjacent relation;
s300, coarsening eight adjacent grid units in space in the combined geologic body, wherein the coarsening needs to consider the influence of faults on coarsening, and different methods are needed to coarsen the attributes of scalar and vector;
s400, if all adjacent grids in the geological body obtained through merging are already merged, jumping to S500; if there is an undestroyed mesh, continuing to S300;
s500, if the block which is not combined exists in the geologic body data set under the initial scale, continuing to carry out S200-S400; if the combination processing is carried out on each geologic body, all the combination results form a geologic body data set of the next scale;
s600, after the three-dimensional geological model under the target scale is obtained, if the three-dimensional geological model under the next scale needs to be continuously constructed, continuing to use the result obtained in the S500 as an initial geological body data set to obtain S200-S500; if the model under the next scale is not required to be constructed, the three-dimensional geological model under each scale obtained in all the steps is the multi-scale model of the geological body.
3. The method for integrated management of urban full-space three-dimensional model data according to claim 1, wherein constructing the lightweight full-space three-dimensional model comprises: and constructing a multi-level detail model, carrying out three-dimensional model data space indexing, carrying out three-dimensional model compression and carrying out three-dimensional model network service release.
4. The method for integrated management of urban full-space three-dimensional model data according to claim 3, wherein the construction of the multi-level hierarchical detail model comprises the following specific steps: three-dimensional model data partitioning and hierarchical detail processing, wherein the three-dimensional model data partitioning comprises partitioning digital elevation data, image data, a ground object model and a ground body model; the method comprises the steps of adopting a quadtree splitting method for digital elevation data, image data and a ground object model, and adopting an octree splitting method for a ground object model.
5. A method for integrated management of urban full-space three-dimensional model data according to claim 3, wherein the three-dimensional model compression adopts predictive correction coding, and comprises three steps: vertex coordinate quantization, prediction and entropy coding; firstly normalizing a geometric model into a unit cube, and quantizing vertex coordinates with given precision to reduce redundant data; then, other vertex coordinates are predicted by using the coordinates of some existing vertices, and a prediction correction amount is calculated, and finally, the correction amount is encoded.
6. The method for integrated management of urban full-space three-dimensional model data according to claim 3, wherein the three-dimensional model network service is issued by constructing scene service and view service through M3D service and WebGL client in full-space three-dimensional model data format and service interface specification.
7. The method for integrated management of urban full-space three-dimensional model data according to claim 1, wherein the fast rendering of multi-source heterogeneous mass three-dimensional data comprises:
the data caching strategy and the asynchronous calling technology are adopted to realize two efficient scheduling strategies, so that the data transmission pressure of mass geological models in a large-scale scene is relieved, and the running stability is ensured;
carrying out real-time dynamic management on large-scale complex scene data; when the scene data is dynamically managed in real time, determining the region and the hierarchy where the target sub-scene data is located according to the current viewpoint position and the current sight angle, and realizing the real-time dynamic scheduling of the data;
the method comprises the steps of dynamically scheduling a large-scale three-dimensional geological model in real time, and rapidly acquiring three-dimensional scene data through an efficient web dynamic scheduling framework, so that scene real-time updating and data real-time loading are realized;
the quick rendering of the data is realized through parallel rendering based on a data parallel mode;
and the CPU and GPU collaborative computing dynamic load balancing is realized by adopting a CPU and GPU parallel programming model, task division of multiple GPU nodes, visual fusion of multiple nodes, multiple node fault tolerance, data or task scheduling and load balancing and other technologies.
8. The method for integrated management of urban full-space three-dimensional model data according to claim 1, wherein the analysis and application of the three-dimensional model by the browser end at least comprises: three-dimensional scene interaction, geospatial analysis, underground engineering geological analysis, stress field numerical simulation and geological attribute interpolation calculation.
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