CN112489210A - Method for constructing autonomous controllable three-dimensional natural resource map system - Google Patents
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Abstract
The invention discloses an autonomous controllable three-dimensional natural resource one-map system construction method, which comprises the following steps: establishing a library establishing scheme of three-dimensional spatial data, and performing library establishing processing on the original spatial data through a parallel processing mechanism to generate a three-dimensional data set for service release, wherein the three-dimensional data set supports a sky and ground map tile pyramid standard; extracting data of the three-dimensional data set, and issuing data service supporting REST or KVP or SOAP protocol; analyzing and calculating the three-dimensional data set to release a functional service supporting an HTTP (hyper text transport protocol); and sequentially carrying out three-dimensional geometric calculation, texture rendering, three-dimensional view construction and dynamic visualization on the issued functional service and the issued data service to form a three-dimensional dynamic scene. The invention supports the release and management of multiple data services and functional services of the two-dimensional and three-dimensional spatial data, effectively improves the external sharing capability of the two-dimensional and three-dimensional data services, and greatly improves the safety and controllability of geographic information management.
Description
Technical Field
The invention relates to the field of natural resource informatization, in particular to an autonomous controllable three-dimensional natural resource one-map system construction method.
Background
In the field of natural resource informatization, various databases of land, geology, mineral products, oceans, surveying and mapping geographic information and the like need to be integrated, integrated and standardized, and a unified natural resource one-map big data system of 'ground, underground and continental-sea connection' is constructed according to a unified standard. Based on full coverage, full elements and three-dimensional investigation and monitoring, the accuracy and the integrity of the data of one picture are continuously improved, and the management and the application of the three-dimensional space natural resource information are enhanced.
However, the construction of the current three-dimensional natural resource one-figure lacks a comprehensive management and application system which integrates two dimensions and three dimensions and has the capabilities of data cluster processing, efficient management, shared release and comprehensive application. And the system for managing and applying the three-dimensional data is generally made of the technology of foreign products such as ESRI, Skyline and the like, and along with the enhancement of the safety management of the geographic information, the mature technology gradually exposes the problems of low safety controllability, high operation cost, poor expandability and the like.
An effective solution to the problems in the related art has not been proposed yet.
Disclosure of Invention
Aiming at the technical problems in the related art, the invention provides an autonomous controllable three-dimensional natural resource one-map system construction method, which can solve the problems.
In order to achieve the technical purpose, the technical scheme of the invention is realized as follows:
an autonomous controllable three-dimensional natural resource one-map system construction method comprises the following steps:
s1, creating a library construction scheme of the three-dimensional spatial data, and performing library construction processing on the original spatial data through a parallel processing mechanism to generate a three-dimensional data set for service release, wherein the three-dimensional data set supports the tile pyramid standard of the sky and map;
s2, issuing data service supporting REST or KVP or SOAP protocol by extracting data of the three-dimensional data set in the step S1; distributing a functional service supporting the HTTP protocol by performing an analysis calculation on the three-dimensional data set in step S1;
s3, the functional service and the data service released in the step S2 are sequentially subjected to three-dimensional geometric calculation, texture rendering, three-dimensional view construction and dynamic visualization to form a three-dimensional dynamic scene.
Further, the original spatial data in step S1 includes: imagery, terrain, vectors, and models.
Further, the data service in step S2 includes: tile data services, three-dimensional terrain services, three-dimensional model services, three-dimensional place name services, place name address services, metadata services, resource directory services, network map services, network element services, and network grid services.
Further, the function service in step S2 includes: the system comprises a space query service, a space analysis service, a full text retrieval service and a geographic processing service.
Further, the three-dimensional geometric calculation in step S2 specifically includes: matrix vector and quaternion calculation, coordinate conversion and map projection.
Further, the texture rendering in step S2 specifically includes: shader abstract representation, textures, and vertex renderings.
Further, the three-dimensional view construction in step S2 specifically includes: creating a high-resolution image layer with multiple data sources; creating a billboard, a polygon, an ellipse and a label; creating a complex and variable geometric appearance; controlling a viewport state; animation frames are created that change over time.
Further, the three-dimensional geometric calculation in step S3 specifically includes:
calculating a matrix, a vector and a quaternion;
converting coordinates;
projecting a map;
triangulation algorithm, surface subdivision algorithm, vertex buffer area optimization algorithm and ellipse boundary calculation algorithm.
Further, the coordinate transformation includes transformation between latitude coordinates and cartesian coordinates, and a transformation formula between the latitude coordinates and the cartesian coordinates is as follows:
Latitude Radian＝Latitude Degree*3.1415926/180.0
Longitude Radian＝Longitude Degree*3.1415926/180.0
radCosLat＝6378137*cos(Latitude Radian)
x＝radCosLat*cos(Longitude Radian)
y＝radCosLat*sin(Longitude Radian)
z＝radius*sin(Latitude Radian)
where, Latitude Degree is Latitude coordinate, Longitude Degree is Longitude coordinate, x, y, z are cartesian space rectangular coordinates, radCosLat is intermediate variable of definition, and radius is earth radius (acquirable value 6378137).
The invention has the beneficial effects that:
1. the invention takes a database and a Web technology as a core, integrates various technologies such as spatial data database building processing, three-dimensional visualization, two-three-dimensional integration, virtual reality and the like, adopts a plug-in type architecture and a modeling method, realizes the integrated processing, service sharing and issuing and integrated application of various types of spatial and non-spatial data such as multi-source, multi-time-phase and multi-scale images, terrains, vectors, place names, three-dimensional models, statistical tables, multimedia data and the like, and provides a solution method for realizing the requirements of various aspects such as full-space three-dimensional visualization expression, two-three-dimensional integration application, multi-dimensional spatial analysis and the like of massive spatial data.
2. The invention supports the release and management of multiple data services and functional services of the two-dimensional and three-dimensional spatial data, effectively improves the external sharing capability of the two-dimensional and three-dimensional data services, and greatly improves the safety and controllability of geographic information management.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a method for constructing an autonomously controllable three-dimensional stereo natural resource map system.
FIG. 2 is a flow diagram of task scheduling for spatial computation decomposition partitioning.
Fig. 3 is a distribution diagram showing the current land utilization status of guangdong province, which is a three-dimensional visualization result of the thematic map 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 that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
The method for constructing the autonomous controllable three-dimensional natural resource one-map system comprises a data layer construction part, a service layer construction part and an application layer construction part 3.
And (3) data layer construction: the storage and management of various types of space data such as images, terrains, vectors, place names, three-dimensional models and the like and three-dimensional data sets are realized, and the design of a library building scheme and the library building processing of the three-dimensional data sets are provided.
And (3) service layer construction: the system is used for processing data access requests of client software, and issuing, managing and sharing various types of data services and functional services externally.
Application layer construction: the system is connected with a server through a government affair extranet or the Internet, accesses mass, multi-source and multi-scale three-dimensional space data issued by the service, and performs stepless, seamless and full-space three-dimensional visual browsing, and application operations such as query positioning, roaming flight, space analysis and the like in a three-dimensional scene.
The method comprises the following specific steps:
step 1: data layer construction
The method comprises the steps of rapidly creating a library establishing scheme of three-dimensional space data through a scheme design algorithm, wherein the generated three-dimensional library establishing scheme can be directly accessed to original space data of natural resource subjects for library establishing processing, three-dimensional data sets for service release are generated, unified data standards are adopted for establishing libraries for various three-dimensional data sets, and the standard of a heaven and earth map tile pyramid is supported. The editing processing of the display effect of the imported source data is supported, such as the adjustment of the layer overlapping sequence, the image invalid value and the like; the operations of splitting, merging, updating, adding, extracting and the like of the existing three-dimensional data set are supported. The rapid, accurate and stable database building and management of the data set are ensured through a task monitoring mechanism, a parallel processing mechanism and a flow interaction mechanism.
Step 2: service layer construction
The service engine is used for publishing and managing various types of data services and functional services, the data services comprise tile data (vector, image and shaded relief) services, three-dimensional terrain services, three-dimensional model services, three-dimensional place name services, place name address services, metadata services, resource directory services, network map services, network element services, network raster services and the like, and the data access engine supports a standardized data access interface of multi-protocol (REST/KVP/SOAP and the like); the functional services comprise a spatial query service, a spatial analysis service (buffer analysis, aggregation service analysis, superposition analysis, spatial statistical analysis and the like), a full-text retrieval service, a geographic processing service and the like, and support a functional access interface of an HTTP protocol. Meanwhile, the engine also provides the capabilities of service parameter configuration, running state supervision, software and hardware monitoring and the like.
The service layer adopts a geospatial parallel computing mechanism. Due to the characteristics of spatiality and unstructured vector data, geospatial parallel computing is different from traditional parallel computing. Vector data has the characteristics of irregularity and discreteness in spatial distribution or spatial shape, and the difference of the calculation amount of each vector target in spatial analysis is large, so that the spatial distribution characteristics of the vector data and the calculation amount of the vector data participating in the spatial analysis need to be considered when data division and task division are performed. Therefore, in the parallelization process of the vector data-based spatial algorithm, the tasks of spatial computation are decomposed through spatial data division, and the task division is performed again on the basis of the task decomposition to realize the computation load balance and the task load balance of the spatial parallel computation. The flow of task scheduling is shown in fig. 2.
And step 3: application layer construction
A Cesium framework is adopted, a core space algorithm and a rendering algorithm of the Cesium framework are modified, an autonomous three-dimensional engine is constructed, the capabilities of two-three-dimensional integrated scene browsing, spatial data loading, three-dimensional query, thematic map generation, roaming flight, interactive space analysis, three-dimensional simulation and the like are achieved, and multi-end applications such as WPF, Web, touch screens and mobile terminals are supported. All the functional interfaces are packaged in a component mode to form an application development kit, various development environments are supported, all the interfaces based on the COM protocol can be developed through a script language and a non-script language, and various development languages such as C #, C + +, Delphi and JavaScript are supported.
The autonomous three-dimensional engine architecture mainly comprises a core layer, a renderer layer, a scene layer and a dynamic scene layer, wherein an upper layer module depends on functions provided by a lower layer, and the upper layer module performs higher-level packaging and abstraction on the functions of the lower layer.
Core layer: the core layer is the lowest layer in the three-dimensional engine architecture, and contains the lower-layer, more common functions related to mathematics: (1) matrix, vector and quaternion correlation calculation functions; (2) a coordinate conversion function such as conversion between longitude and latitude coordinates and cartesian coordinates; (3) map projection functions, such as mercator projection and geographic coordinate projection; (4) various geometric algorithms such as a triangularization algorithm, a surface subdivision algorithm, a vertex buffer area optimization algorithm, an ellipse boundary calculation algorithm and the like are realized.
The conversion between longitude and latitude coordinates and cartesian coordinates is referenced by the following formula:
Latitude Radian＝Latitude Degree*3.1415926/180.0
Longitude Radian＝Longitude Degree*3.1415926/180.0
radCosLat＝6378137*cos(Latitude Radian)
x＝radCosLat*cos(Longitude Radian)
y＝radCosLat*sin(Longitude Radian)
z＝radius*sin(Latitude Radian)
in the formula, Latitude Degree is Latitude coordinate, Longitude Degree is Longitude coordinate, x, y, z are Cartesian space rectangular coordinates, radCosLat is intermediate variable of definition, and radius is earth radius (acquirable value 6378137).
A renderer layer: the renderer layer simply packages and abstracts functions provided by the WebGL, and compared with the function of directly using the WebGL, the functions provided by the renderer layer are simpler and have more definite semantics. The renderer layer contains built-in GLSL-related functions, abstract representation of shaders, textures, vertex buffers, rendering states, and the like.
Scene layer: the scene layer is built above the core layer and the renderer layer, and provides high-level earth map functions, and the scene layer comprises the following steps: (1) switching between three-dimensional virtual earth (3D), two-dimensional planar map (2D), Columbus views (2.5D); (2) creating a high-resolution image layer with multiple data sources, wherein the data sources comprise Bing Maps, Esri ArcGIS MapServer, OpenStreetMap, Web Map Service (WMS) and the like; (3) creating geometric elements such as a billboard, a polygon, an ellipse and a label; (4) creating a complex and variable geometric appearance; (5) controlling a viewport state by adjusting a relevant attribute of a viewport camera object; (6) animation frames are created that change over time.
Dynamic scene layer: the dynamic scene layer is built on the core layer, the renderer layer and the scene layer, and supports a data-driven visualization technology. The dynamic scene layer creates dynamic objects by processing and analyzing vector data in formats of CZML, KML, GeoJSON and the like, and the dynamic objects are rendered in real time by a visual class in scene rendering of each frame, so that dynamic rendering of the whole scene is completed. Fig. 3 is a map of the state of land use in guangdong province created according to the method of the present invention.
The concrete use is as shown in figure 1:
the method comprises the steps of rapidly creating a library construction scheme of three-dimensional spatial data by using natural resource thematic spatial data such as images, terrains, vectors, models and the like through a scheme design algorithm, carrying out library construction processing on original spatial data through a parallel processing mechanism, and generating a three-dimensional data set which can be used for service release under a task monitoring mechanism, wherein the data set supports the sky and earth map tile pyramid standard.
And performing service release and management by using a service release management engine. Data services supporting protocols such as REST/KVP/SOAP and the like, such as tile data services, three-dimensional terrain services, three-dimensional model services, three-dimensional place name services, place name address services, metadata services, resource directory services, network map services, network element services, network raster services and the like, are released through data extraction; functional services supporting the HTTP protocol, such as a spatial query service, a spatial analysis service, a full-text retrieval service, a geographic processing service, and the like, are issued by the analytics computation.
And finally forming a three-dimensional dynamic scene by using an autonomous three-dimensional engine through the processes of three-dimensional geometric calculation, texture rendering, three-dimensional view construction, dynamic visualization and the like.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (9)
1. An autonomous controllable three-dimensional natural resource one-map system construction method is characterized by comprising the following steps:
s1, creating a library construction scheme of the three-dimensional spatial data, and performing library construction processing on the original spatial data through a parallel processing mechanism to generate a three-dimensional data set for service release, wherein the three-dimensional data set supports the tile pyramid standard of the sky and map;
s2, issuing data service supporting REST or KVP or SOAP protocol by extracting data of the three-dimensional data set in the step S1; distributing a functional service supporting the HTTP protocol by performing an analysis calculation on the three-dimensional data set in step S1;
s3, the functional service and the data service released in the step S2 are sequentially subjected to three-dimensional geometric calculation, texture rendering, three-dimensional view construction and dynamic visualization to form a three-dimensional dynamic scene.
2. The method for constructing an autonomously controllable three-dimensional stereoscopic natural resource mapping system according to claim 1, wherein the raw spatial data in step S1 includes: imagery, terrain, vectors, and models.
3. The method for constructing an autonomously controllable three-dimensional stereoscopic natural resource mapping system according to claim 1, wherein the data service in step S2 comprises: tile data services, three-dimensional terrain services, three-dimensional model services, three-dimensional place name services, place name address services, metadata services, resource directory services, network map services, network element services, and network grid services.
4. The method for constructing an autonomously controllable three-dimensional stereoscopic natural resource mapping system according to claim 1, wherein the function service in step S2 includes: the system comprises a space query service, a space analysis service, a full text retrieval service and a geographic processing service.
5. The method for constructing an autonomously controllable three-dimensional stereoscopic natural resource mapping system according to claim 1, wherein the three-dimensional geometric computation in step S2 specifically includes: matrix vector and quaternion calculation, coordinate conversion and map projection.
6. The method for constructing an autonomously controllable three-dimensional stereoscopic natural resource mapping system according to claim 1, wherein the texture rendering in step S3 specifically includes: shader abstract representation, textures, and vertex renderings.
7. The method for constructing an autonomously controllable three-dimensional stereoscopic natural resource mapping system according to claim 1, wherein the three-dimensional view construction in step S3 specifically includes:
creating a high-resolution image layer with multiple data sources;
creating a billboard, a polygon, an ellipse and a label;
creating a complex and variable geometric appearance;
controlling a viewport state;
animation frames are created that change over time.
8. The method for constructing an autonomously controllable three-dimensional stereoscopic natural resource mapping system according to claim 1, wherein the three-dimensional geometric computation in step S3 specifically includes:
calculating a matrix, a vector and a quaternion;
converting coordinates;
projecting a map;
triangulation algorithm, surface subdivision algorithm, vertex buffer area optimization algorithm and ellipse boundary calculation algorithm.
9. The method for constructing an autonomously controllable three-dimensional stereoscopic natural resource mapping system according to claim 8, wherein the coordinate transformation includes transformation between latitude coordinates and cartesian coordinates, and the transformation formula between the latitude coordinates and the cartesian coordinates is:
Latitude Radian＝Latitude Degree*3.1415926/180.0
Longitude Radian＝Longitude Degree*3.1415926/180.0
radCosLat＝6378137*cos(Latitude Radian)
x＝radCosLat*cos(Longitude Radian)
y＝radCosLat*sin(Longitude Radian)
z＝radius*sin(Latitude Radian)
where, Latitude Degree is Latitude coordinate, Longitude Degree is Longitude coordinate, x, y, z are cartesian space rectangular coordinates, radCosLat is intermediate variable of definition, and radius is earth radius (acquirable value 6378137).
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115129401A (en) * | 2022-08-29 | 2022-09-30 | 吉奥时空信息技术股份有限公司 | Method for realizing non-offset and non-deformation superposition of multi-source data based on Cesum |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679813A (en) * | 2013-12-18 | 2014-03-26 | 深圳先进技术研究院 | Construction method for three-dimensional digital globe and three-dimensional digital globe system |
| CN105069020A (en) * | 2015-07-14 | 2015-11-18 | 国家信息中心 | 3D visualization method and system of natural resource data |
| CN106055668A (en) * | 2015-12-11 | 2016-10-26 | 中国地质调查局发展研究中心 | Data and service mixed loading system |
| US20170315697A1 (en) * | 2016-04-27 | 2017-11-02 | Crestron Electronics, Inc. | Three-dimensional building management system visualization |
| CN108170714A (en) * | 2017-12-01 | 2018-06-15 | 武汉华信联创技术工程有限公司 | A kind of three-dimensional simulation system of typhoon disaster monitoring and evaluation |
| CN108235057A (en) * | 2018-03-21 | 2018-06-29 | 中国科学院遥感与数字地球研究所 | A kind of network transmission and method for visualizing of extensive utilizing ocean current data |
| CN110990726A (en) * | 2019-10-30 | 2020-04-10 | 武汉大学 | Space-time big data intelligent service system |
-
2020
- 2020-11-12 CN CN202011259033.XA patent/CN112489210A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103679813A (en) * | 2013-12-18 | 2014-03-26 | 深圳先进技术研究院 | Construction method for three-dimensional digital globe and three-dimensional digital globe system |
| CN105069020A (en) * | 2015-07-14 | 2015-11-18 | 国家信息中心 | 3D visualization method and system of natural resource data |
| CN106055668A (en) * | 2015-12-11 | 2016-10-26 | 中国地质调查局发展研究中心 | Data and service mixed loading system |
| US20170315697A1 (en) * | 2016-04-27 | 2017-11-02 | Crestron Electronics, Inc. | Three-dimensional building management system visualization |
| CN108170714A (en) * | 2017-12-01 | 2018-06-15 | 武汉华信联创技术工程有限公司 | A kind of three-dimensional simulation system of typhoon disaster monitoring and evaluation |
| CN108235057A (en) * | 2018-03-21 | 2018-06-29 | 中国科学院遥感与数字地球研究所 | A kind of network transmission and method for visualizing of extensive utilizing ocean current data |
| CN110990726A (en) * | 2019-10-30 | 2020-04-10 | 武汉大学 | Space-time big data intelligent service system |
Non-Patent Citations (7)
| Title |
|---|
| 周旭;: "OpenGIS网络地图分块服务实现标准(WMTS)分析", 地理信息世界, no. 04 * |
| 李延晖等: "《物流网络规划设计》", 30 June 2013, 华中科技大学出版社 * |
| 此心光明。: "Cesium最新基础教程系列4—坐标转换（平面坐标系，笛卡尔空间直角坐标系，弧度，经纬度，屏幕坐标）", pages 1 - 2, Retrieved from the Internet <URL:https://blog.csdn.net/mingxingHAHA/article/details/95327096> * |
| 管理;戴建华;吴昊;: "Geodesics算法在雷达投影转换中的应用检验", 气象科技, no. 01 * |
| 陈建忠;谢卫华;饶长春;: "智慧三维地理信息管理平台技术设计方案解析", 国土资源信息化, no. 05 * |
| 陈忠良;王寅;胡海风;杨其菠;: "基于SOA-V的地质资料信息服务发布与应用", 地理空间信息, no. 04 * |
| 高云成: "基于Cesium的WebGIS三维客户端实现技术研究", 《中国优秀硕士学位论文全文数据库信息科技辑》, pages 1 - 96 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115129401A (en) * | 2022-08-29 | 2022-09-30 | 吉奥时空信息技术股份有限公司 | Method for realizing non-offset and non-deformation superposition of multi-source data based on Cesum |
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