CN113722336A - Image data processing method based on server-side computing resources - Google Patents
Image data processing method based on server-side computing resources Download PDFInfo
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- CN113722336A CN113722336A CN202111288171.5A CN202111288171A CN113722336A CN 113722336 A CN113722336 A CN 113722336A CN 202111288171 A CN202111288171 A CN 202111288171A CN 113722336 A CN113722336 A CN 113722336A
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Abstract
The invention discloses an image data processing method based on server-side computing resources, which comprises the following steps: s1, establishing a cloud platform of the map service at the web end, and defining a data organization specification of the cloud platform to solidify a data organization structure; s2, the user completes the organization of the data to be uploaded on the cloud platform client, and the organized data packets of different types are uploaded to the cloud disk appointed directory of the cloud platform respectively; s3, decompressing data packets in the cloud disk, and respectively importing different types of data into corresponding databases, wherein the different types of data comprise vector data and corresponding metadata; and S4, after the data are put in a storage, the map service is published on the cloud platform, the user can directly cut the tiles of the vector data on the cloud platform, and the tile style is consistent with that of the desktop. The invention integrates the storage, service release and application of vector data on one platform, so that a user is prevented from switching back and forth among a plurality of systems, the defects in the WebGIS map service application mode are overcome, the application efficiency of the WebGIS map service is improved, the transmission efficiency is greatly improved, and the problem of the symbol of the WebGIS vector data is solved.
Description
Technical Field
The invention relates to the field of geographic information systems, in particular to an image data processing method based on server-side computing resources.
Background
WebGIS is a geographic information system applied to the Internet and is a product of the combination of Web technology and geographic information. The method adopts an HTTP transmission protocol to transmit and interact data, issues and applies geospatial data through an Internet technology, realizes the sharing and interoperability of the geospatial data, and changes the modes of storing, issuing, transmitting and applying geospatial information. WebGIS can be used through a browser without the need of conventional GIS software development, so that development cost and maintenance cost are saved. Compared with the traditional geographic information, the WebGIS has the advantages of being popular, cross-platform, good in expandability, low in operation cost and the like.
Conventionally, WebGIS map services have been published and viewed in a stand-alone fashion. In practical application, due to limited factors such as privacy authority, complete sharing of data among user units is difficult to achieve, and WebGIS application is often achieved in a mode of 'data storage-service release-service application', namely vector map data are stored in a database by a data acquisition unit, then tile map services are released through a desktop tool, and finally an interface of the tile services is provided for a superior application unit to use. The application mode has the following disadvantages: 1) the transmission efficiency of data is low: because of different security authorities, vector data is often incompletely transmitted among user units, and map data is mostly transmitted in a grid form, so that the transmitted data volume is large, and the transmission efficiency is low; 2) the data is applied inefficiently: data are transmitted among user units in the forms of pictures or tiles such as png, tiff and the like, so that a superior application unit cannot have the functions of query, modification and the like in a vector map; 3) problem of system library: the traditional WebGIS cannot solve the symbolic problem of vector data.
Disclosure of Invention
In order to overcome the defects of the prior art, the invention provides an image data processing method based on server-side computing resources, which comprises the following steps:
s1), establishing a cloud platform of the map service at the web end, and defining a data organization specification of the cloud platform to solidify a data organization structure;
s2), the user completes the organization of the data to be uploaded on the cloud platform client, and uploads the organized data packets of different types to the cloud disk appointed catalog of the cloud platform respectively;
s3), decompressing data packets in the cloud disk, and respectively importing different types of data into corresponding databases, wherein the different types of data comprise vector data and corresponding metadata;
s4), after the data are put in storage, map service publishing is achieved on the cloud platform, a user can directly conduct tile cutting on the vector data on the cloud platform, and the tile style is consistent with that of the desktop end.
Preferably, in step S3), the method specifically includes the following steps:
s31), importing the vector data in the cloud disk into a spatial database;
s32), extracting a system library file and importing the system library file into a system library;
s33), setting a system library of vector data;
s34), in the process of uploading the vector data, extracting the metadata of the vector data, and importing the corresponding metadata into a metadata base.
Preferably, the vector data is divided into vector tiles by a multi-level model, and the geometric information and the attribute information projected in a rectangular area are stored on a single vector tile;
step S4), the cloud platform client acquires vector tiles, map labeling fonts, icons and style file data through a distributed network, and finally renders and outputs a map at the cloud platform client.
Preferably, in step S4), publishing of OGC WMTS, OGC WMS, and OGC WFS services is supported, and the metadata supports customized business services, supports highly available publishing of services, and provides a migration function of services in the GIS cluster.
Preferably, in step S4), after the data is put into storage, the user clips the vector data based on the spatial range and the administrative division, and the cloud platform provides for downloading the clipped data.
Preferably, in step S4), after the data is warehoused, the cloud platform further supports a big data statistics function.
The invention has the beneficial effects that: the method has the advantages that the server side is used for calculating resources and processing image data, a scene that a plurality of persons process a large amount of image data at the same time is achieved, and the problem that the client side is insufficient in calculating resources when a plurality of large amounts of image data are processed is effectively solved. By establishing the data resource pool, the warehousing, the service publishing and the application of the vector data are integrated on one platform, so that a user is prevented from switching back and forth among a plurality of systems, the condition that the vector map service can be obtained after being published is ensured, and the application efficiency of the WebGIS map service is improved.
Drawings
FIG. 1 is a flow chart of a method for processing image data based on server-side computing resources according to the present invention;
fig. 2 is a schematic diagram of an application architecture of the vector map service.
Detailed Description
In order to make the technical means, the creation features, the achievement purposes and the effects of the invention easy to understand, the following description further explains how the invention is implemented by combining the attached drawings and the detailed implementation modes.
Referring to fig. 1, the present invention provides an image data processing method based on server-side computing resources, including the following steps:
s1, establishing a cloud platform (such as a cloud data resource pool system) of the map service at the web end, and defining a data organization specification of the cloud platform to solidify a data organization structure; and the data is organized so as to facilitate subsequent processing of the data.
S2, the user completes the organization of the data to be uploaded on the cloud platform client, and the organized data packets of different types are uploaded to the cloud disk appointed directory of the cloud platform respectively; after a user logs in a cloud platform by using a personal account, a data packet is created, and then the organized data is uploaded to corresponding folders in a cloud disk respectively.
And S3, decompressing data packets in the cloud disk, and respectively importing different types of data into corresponding databases, wherein the different types of data comprise vector data and corresponding metadata.
And S4, after the data are put in a storage, the map service is published on the cloud platform, the user can directly cut the tiles of the vector data on the cloud platform, and the tile style is consistent with that of the desktop.
Further, step S3 may specifically include the following steps:
s31, importing the vector data in the cloud disk into a spatial database;
s32, extracting a system library file and importing the system library file into a system library;
s33, setting a system library of vector data;
and S34, extracting the metadata in the process of uploading the vector data, and importing the corresponding metadata into the metadata base.
Specifically, the vector data is divided into vector tiles by a multi-level model, and geometric information and attribute information projected in a rectangular area are stored on a single vector tile; in step S4, the cloud platform client obtains vector tiles, map annotation fonts, icons, and style file data via the distributed network, and finally renders the output map at the cloud platform client.
It will be appreciated that metadata for a service is used to characterize a service instance, and may include: service basic information, service provider information, and service metadata maintenance information. The tile map is a technical means for displaying spatial data of the map formed by splicing a plurality of small pictures (namely tiles) so as to reduce the memory consumption of map loading; the tiles are hierarchically organized according to the hierarchical map display scale and the resolution according to the pyramid model, and the resolution is lower from the bottom layer to the top layer of the tile pyramid, but the represented geographic range is unchanged.
Preferably, in step S4, the publishing of OGC WMTS, OGC WMS, and OGC WFS services is supported, and the metadata supports customized business services, supports highly available publishing of services, and provides a migration function of services in the GIS cluster. In a specific embodiment, when the tiles are cut, the vector map data are subjected to tile cutting according to needs, the cut tile files are dumped into a distributed file database, the tiles are published as OGC WMTS service, and efficient map preview service is provided for the outside.
In step S4, after the data is put into the database, the user can clip the vector data based on the spatial range and the administrative division, and the cloud platform provides for downloading the clipped data.
In step S4, after the data is put into the database, the cloud platform also supports the statistics function of the big data.
In addition, in file transmission and storage, full-flow encryption can be realized based on a method of combining a PBKDF2 HASH encryption algorithm and an AES symmetric encryption algorithm. When the map service is released, full-automatic release can be realized according to a preset rule; and the administrator can also be used for carrying out service auditing operation, previewing the map service and auditing and issuing the service after viewing the data information.
Referring to fig. 2, after the release is completed by using the method provided by the present invention, in a vector map service application system, the query service 2 can be entered through the directory service 1, and then the map service 3 can be entered, where the map service 3 specifically includes map metadata viewing 31, map service viewing 32, thematic map viewing 33, map statistical analysis 34, map data next week 35, map data processing 36, and the like.
In the traditional map service which is released in a single machine mode, because complete sharing of data is difficult to realize among user units, the problems of low vector data transmission efficiency, low map service application efficiency and the like exist. According to the method for processing the image data based on the server-side computing resources, the database entry, the service release and the application of the vector data are integrated on one platform by establishing the data resource pool, so that the application efficiency of the vector map data is improved.
The invention realizes the direct release of the vector data service, reduces the data transmission among user units, and improves the application efficiency of the map data; the map service can be simultaneously released on the same platform by a plurality of persons; the unification of a vector data symbol library is ensured, and the direct cutting of tiles at a web end is supported; the statistical analysis capability of big data is supported; a perfect map service application system is established, and the map service can be checked through the tile service and the vector tile service; operations such as query and modification of map service are carried out through vector service (WMS service/WFS service); and carrying out statistical analysis on the map through a big data statistical analysis service.
Finally, the above embodiments are only intended to illustrate the technical solution of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical solution of the present invention without departing from the spirit and scope of the technical solution of the present invention, which should be covered by the claims of the present invention.
Claims (7)
1. An image data processing method based on server-side computing resources is characterized by comprising the following steps:
s1), establishing a cloud platform of the map service at the web end, and defining a data organization specification of the cloud platform to solidify a data organization structure;
s2), the user completes the organization of the data to be uploaded on the cloud platform client, and uploads the organized data packets of different types to the cloud disk appointed catalog of the cloud platform respectively;
s3), decompressing data packets in the cloud disk, and respectively importing different types of data into corresponding databases, wherein the different types of data comprise vector data and corresponding metadata;
s4), after the data are put in storage, map service publishing is achieved on the cloud platform, a user can directly conduct tile cutting on the vector data on the cloud platform, and the tile style is consistent with that of the desktop end.
2. The image data processing method based on server-side computing resources according to claim 1, wherein in step S3), the method specifically includes the following steps:
s31), importing the vector data in the cloud disk into a spatial database;
s32), extracting a system library file and importing the system library file into a system library;
s33), setting a system library of vector data;
s34), in the process of uploading the vector data, extracting the metadata of the vector data, and importing the corresponding metadata into a metadata base.
3. The method for processing image data based on server-side computing resources of claim 1, wherein the vector data is divided into vector tiles by a multi-level model, and the geometric information and the attribute information projected in a rectangular area are stored on a single vector tile.
4. The image data processing method based on server-side computing resources of claim 3, wherein in step S4), the cloud platform client obtains vector tiles, map annotation fonts, icons and style file data through a distributed network, and finally renders an output map at the cloud platform client.
5. The image data processing method based on server-side computing resources as claimed in claim 1, wherein in step S4), releasing OGC WMTS, OGC WMS and OGC WFS services is supported, and the metadata supports customized business services, supports highly available releasing of services, and provides migration function of services in GIS cluster.
6. The method for processing image data based on server-side computing resources according to claim 1, wherein in step S4), after the data is put in storage, the user crops the vector data based on the spatial range and the administrative division, and the cloud platform provides downloading of the cropped data.
7. The image data processing method based on the server-side computing resource according to claim 1, wherein in step S4), after the data is put in storage, the cloud platform further supports a big data statistics function.
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| CN202111288171.5A CN113722336A (en) | 2021-11-02 | 2021-11-02 | Image data processing method based on server-side computing resources |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115098888A (en) * | 2022-08-23 | 2022-09-23 | 北京帝测科技股份有限公司 | Map data packet full-flow adaptive generation and encryption method, device and equipment |
| CN115357741A (en) * | 2022-10-24 | 2022-11-18 | 湖南省第二测绘院 | Online statistical service method and system for spatial data of natural resources |
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2021
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| US7725529B2 (en) * | 2003-11-19 | 2010-05-25 | George Mason Intellectual Properties, Inc. | Geographic information system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115098888A (en) * | 2022-08-23 | 2022-09-23 | 北京帝测科技股份有限公司 | Map data packet full-flow adaptive generation and encryption method, device and equipment |
| CN115357741A (en) * | 2022-10-24 | 2022-11-18 | 湖南省第二测绘院 | Online statistical service method and system for spatial data of natural resources |
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