CN110059122A - A kind of wildlife resource data storage method based on cloud Web - Google Patents
A kind of wildlife resource data storage method based on cloud Web Download PDFInfo
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- CN110059122A CN110059122A CN201910268026.7A CN201910268026A CN110059122A CN 110059122 A CN110059122 A CN 110059122A CN 201910268026 A CN201910268026 A CN 201910268026A CN 110059122 A CN110059122 A CN 110059122A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
- G06F16/2282—Tablespace storage structures; Management thereof
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- G—PHYSICS
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
It is disclosed by the invention to belong to field of cloud computer technology, specially a kind of wildlife resource data storage method based on cloud Web, this kind is based on the wildlife resource data storage method of cloud Web specific steps are as follows: S1: application cloud service virtual machine, software and service platform are installed, wildlife resource data storage method of this kind based on cloud Web, architecture design based on elastification, realize the possibility of business function infinite expanding, storage method service is realized cross-platform, mobile, it is efficient, ArcSDE and RMDS have been merged to the professional of spatial geography data, combine the convenience of geographical handling implement, apply the flexibility of Python, the features such as the professional platform independence of Web AppBuilder are used, it forms a set of make full use of and has money Source, the cloud data loading solution of mutual supplement with each other's advantages.
Description
Technical field
The present invention relates to field of cloud computer technology, specially a kind of wildlife resource data loading based on cloud Web
Method.
Background technique
Cloud computing is the increase, use and interactive mode of related service Internet-based, is usually directed to and passes through internet
To provide the resource of dynamic easily extension and often virtualization.Cloud is a kind of metaphor saying of network, internet.Past is in figure
Telecommunications network is often indicated with cloud, also is used to indicate the abstract of internet and underlying infrastructure later.Therefore, cloud computing is even
You can be allowed to experience the operational capability of 10 trillion times per second, possessing so powerful computing capability can be with simulated-nuclear explosion, prediction
Climate change and market trend.
With cloud computing, the deep development of WebGIS technology, scaffold theory, widget technology, space and geographical processing technique
Mixing together, the exploitation of current Web App platform becomes may customize, easily extends with building, and existing data loading scheme has:
ArcEngine+ArcSDE scheme, ArcGIS Desktop+Excel scheme, Vue.js+ArcGIS Api for
The full stack platform of JavaScript+ArcGIS Server+Oracle database builds library scheme, utilizes ArcGIS Web
AppBuilder builds WebApp application etc..
ArcEngine+ArcSDE scheme: existing mode needs to have certain software development knowledge, framework weight, week
Phase is long, and can only require height towards single-set operation, hardware and software device, be not suitable with field investigation environment, ArcGIS Desktop+
Excel scheme: being only suitable for simple data processing and storage, for the processing of data information versioned, multiple batches of data management
Deng, it is difficult to it provides and effectively supports.Normalization, the intelligence of data management are insufficient, and full stack platform builds library scheme: stock of knowledge demand
Height, the development cycle is longer, needs using personnel, developer while paying close attention to software environment and hardware device environment, to system entries
The technical requirements of mesh personnel depaly are high, build WebApp using ArcGIS Web AppBuilder and apply: domestic relevant customization
Extensive documentation is less, using few, therefore, according to current existing technology, needs by having complementary advantages, integrating, competence exertion
Out should by effect, innovation and progress are realized, and in the investigating of wild animal resources, due to the particularity of field environment, scene
Data build library become it is cumbersome and trouble, lack immediate access, stabilised platform system, can not immediate access data, liberate people
The intelligence of data database work, standardization cannot be achieved in power cost.
Summary of the invention
The purpose of the present invention is to provide a kind of wildlife resource data storage methods based on cloud Web, to solve
In the existing investigating of wild animal resources mentioned above in the background art, due to the particularity of field environment, field data is built
Library become it is cumbersome and trouble, lack immediate access, stabilised platform system, can not immediate access data, liberate human cost,
The problem of intelligent data database work, standardization cannot be achieved.
To achieve the above object, the invention provides the following technical scheme: a kind of wildlife resource number based on cloud Web
According to storage method, wildlife resource data storage method of this kind based on cloud Web specific steps are as follows:
S1: application cloud service virtual machine installs PostgreSQL, ArcSDE, ArcGIS Desktop, Web
The softwares such as AppBuilder and ArcGIS Server and service platform, deployment software develop the production ring of environment, online implementing
Border and spatial database platform;
S2: in spatial database platform, the field investigation document data and spatial data being put in storage as required create number
According to the table structure in library;
S3: respectively to csv data and spatial data, writing data type recognizer code, realizes system to upload csv
Data and spatial data automatic identification, and by specified service logic classify and marker characteristic to data are uploaded, are data
Storage is prepared;
S4: Model Builder model build tool, the number in integral data type identification algorithm and geographical processing are utilized
According to library facility is entered, it is built into the geographical processing model of customization;
S5: geography processing model is issued as geographical processing service, and by ArcGIS Server trustship;
S6: utilizing Web AppBuilder, builds foreground UI, modifies the pattern of web App;
S7: using the widget treatment mechanism of Web AppBuilder, by announced geographical processing service registration to Web
In AppBuilder;
S8: the website that will be made in Web AppBuilder is published in production environment, special using the IAAS of cloud platform
Property, system service is provided for terminal user.
Compared with prior art, the beneficial effects of the present invention are: the architecture design based on elastification, is patrolled according to practical business
The demand of collecting, the geographical handling implement that utilization is existing, packaged are glued together by glue language Python, realize industry
The possibility for function infinite expanding of being engaged in, code development quantity is few, and core business, tool are delivered for use convenient and efficient, storage method service
It realizes cross-platform, mobile, high efficiency, can support the software transfer at the end Web or single machine client, use Web AppBuilder
As platform interface, reduce the workload of front end UI design and deployment, is mentioned for online service rapid deployment in the future, convenient delivery
Beneficial technical solution example has been supplied, ArcSDE and RMDS has been merged to the professional of spatial geography data, has combined geographical place
The convenience of science and engineering tool, applies the flexibility of Python, has used the features such as the professional platform independence of Web AppBuilder,
It is formed and a set of makes full use of existing resource, the cloud data loading solution of mutual supplement with each other's advantages.
Detailed description of the invention
Fig. 1 is sample area of the present invention, line-transect storage model schematic;
Fig. 2 is csv data loading model schematic of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
The present invention provides a kind of technical solution: a kind of wildlife resource data storage method based on cloud Web, this kind
Wildlife resource data storage method concrete operation step based on cloud Web is as follows;
S1: application cloud service virtual machine installs PostgreSQL, ArcSDE, ArcGIS Desktop, Web
The softwares such as AppBuilder and ArcGIS Server and service platform, deployment software develop the production ring of environment, online implementing
Border and spatial database platform, concrete operations are as follows: creation cloud database server virtual machine, on the virtual machine, installation
PostgreSQL installs ArcSDE as Spatial Data Engine as database;ArcGIS Desktop 10.X is disposed, and same
When configuration Python 2.7.x develop environment, and by this architectural definition be database server, it is virtual in cloud database server
Above machine, spatial database is built, it is established that the data communication of PostgreSQL, ArcSDE, ArcGIS Desktop utilize cloud
Platform creates Web GIS service device virtual machine, ArcGIS Server map service platform is disposed, to provide common GIS
Server service and the hosted platform that (GP service) is serviced as customized geographical processing, utilize cloud platform, create WebApp clothes
Business device virtual machine, and the server software of IIS or Tomcat are installed, this is defined as WebApp Platform Server;
S2: in spatial database platform, the field investigation document data and spatial data being put in storage as required create number
According to the table structure in library, concrete operations are as follows: by field investigation document data (csv format), be converted into the data that RMDS can be identified
Table, and the attribute field of csv data is installed, corresponding tables of data is constructed, spatial data (shp format) is carried out at pre- storage
Reason, obtains the data structure of spatial data, builds spatial database by ArcSDE, PostgreSQL;
S3: respectively to csv data and spatial data, writing data type recognizer code, realizes system to upload csv
Data and spatial data automatic identification, and by specified service logic classify and marker characteristic to data are uploaded, are data
Storage is prepared;
S4: Model Builder model build tool, the number in integral data type identification algorithm and geographical processing are utilized
According to library facility is entered, it is built into the geographical processing model of customization, concrete operations are as follows: for space vector data, be subdivided into sample area face
Shape data, line-transect threadiness data, recognizer code judge automatically its type according to the geometric type for uploading vector data, so
The data of upload are directed in corresponding spatial database again afterwards;Data flowchart, for field investigation data (csv format),
The information such as the attribute field according to csv data, data structure are then needed to be judged, by the judgement of recognizer code, just
It is to belong to any type of animal that the csv formatted data currently uploaded, which can be segmented out, is known hence into the data in database
Other flow chart;
S5: geography processing model is issued as geographical processing service, and by ArcGIS Server trustship, concrete operations are as follows:
In ArcGIS Desktop, prerun geographical processing model created, by way of shared, by the operation at
Fruit is published on cloud platform virtual machine, in the service for having deployed ArcGIS Serever, realizes ArcGIS Server couple
The trustship of geography processing service model has configured service describing, scheme by specified requirement when publication geographical processing service
The parameter modes such as inspection, user's definition provide conveniently for next step GIS Server service reference;
S6: utilizing Web AppBuilder, builds foreground UI, modifies the pattern of web App, concrete operations are as follows: starting Web
AppBuilder, using instrument board pattern, it is flat to enrich webGIS service for the widget carried with common Web AppBuilder
The included widgets such as the performance of platform, such as introducing map scaling, scale bar, layer management;
S7: using the widget treatment mechanism of Web AppBuilder, by announced geographical processing service registration to Web
In AppBuilder, concrete operations are as follows: using the geographical processing widget of Web AppBuilder, ArcGIS will be published to
The address URL of the geographical processing service of Server, is introduced into the geographical processing widget of Web AppBuilder, saves operation,
Start Web App, is locally developing in the computer under environment, testing the online function of uploading data loading;
S8: the website that will be made in Web AppBuilder is published in production environment, special using the IAAS of cloud platform
Property, system service is provided for terminal user.
In summary, wildlife resource data storage method of this kind based on cloud Web, the frame based on elastification
Structure design, according to actual service logic demand, the geographical handling implement that utilization is existing, packaged passes through glue language
Python is glued together, and realizes the possibility of business function infinite expanding, code development quantity is few, and core business, tool are delivered for use
Convenient and efficient, cross-platform, mobile, high efficiency are realized in storage method service, can support the software tune of the end Web or single machine client
With using Web AppBuilder as platform interface, reduce the workload of front end UI design and deployment, for online clothes in the future
Business rapid deployment, convenient delivery provide beneficial technical solution example, have merged ArcSDE and RMDS to spatial geography data
It is professional, combine the convenience of geographical handling implement, apply the flexibility of Python, used Web
The features such as the professional platform independence of AppBuilder, formation is a set of to make full use of existing resource, the cloud data loading solution of mutual supplement with each other's advantages
Certainly scheme.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
A variety of variations, modification, replacement can be carried out to these embodiments without departing from the principles and spirit of the present invention by understanding
And modification, the scope of the present invention is defined by the appended.
Claims (1)
1. a kind of wildlife resource data storage method based on cloud Web, it is characterised in that: this kind is based on cloud Web's
Wildlife resource data storage method specific steps are as follows:
S1: application cloud service virtual machine, installation PostgreSQL, ArcSDE, ArcGIS Desktop, Web AppBuilder and
The softwares such as ArcGIS Server and service platform, deployment software develop the production environment and space number of environment, online implementing
According to library platform;
S2: in spatial database platform, the field investigation document data and spatial data being put in storage as required create database
Table structure;
S3: respectively to csv data and spatial data, writing data type recognizer code, realizes system to upload csv data
And spatial data automatic identification classifies and marker characteristic to data are uploaded, is data loading and by specified service logic
It prepares;
S4: utilizing Model Builder model build tool, and the data in integral data type identification algorithm and geographical processing enter
Library facility is built into the geographical processing model of customization;
S5: geography processing model is issued as geographical processing service, and by ArcGIS Server trustship;
S6: utilizing Web AppBuilder, builds foreground UI, modifies the pattern of web App;
S7: using the widget treatment mechanism of Web AppBuilder, by announced geographical processing service registration to Web
In AppBuilder;
S8: the website that will be made in Web AppBuilder is published in production environment, using the IAAS characteristic of cloud platform,
System service is provided for terminal user.
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CN201910268026.7A CN110059122B (en) | 2019-04-03 | 2019-04-03 | Wild animal resource data storage method based on cloud Web |
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Address after: 510075 one of the compound No. 100, Xianlie Middle Road, Yuexiu District, Guangzhou City, Guangdong Province Patentee after: Guangzhou Institute of geography, Guangdong Academy of Sciences Address before: 510000 one of the compounds, No. 100, Xianlie Middle Road, Yuexiu District, Guangzhou City, Guangdong Province Patentee before: GUANGZHOU INSTITUTE OF GEOGRAPHY |