CN111125284A - Integrated space-time big data and geographic information public service cloud platform - Google Patents
Integrated space-time big data and geographic information public service cloud platform Download PDFInfo
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- CN111125284A CN111125284A CN201911345938.6A CN201911345938A CN111125284A CN 111125284 A CN111125284 A CN 111125284A CN 201911345938 A CN201911345938 A CN 201911345938A CN 111125284 A CN111125284 A CN 111125284A
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/29—Geographical information databases
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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Abstract
The invention discloses an integrated space-time big data and geographic information public service cloud platform, which comprises a space-time information big data subsystem and a platform operation and maintenance management subsystem, wherein the space-time information big data subsystem comprises a production module, an arrangement module and a management module, the production module manages basic mapping data to be put in storage, the basic mapping data is produced and a geographic space frame data standard is established, and the basic mapping data comprises DLG data, DOM/DEM data, thematic data and place name address data; the arrangement module is used for preprocessing the basic mapping data; the management module checks and modifies the processed data; the platform operation and maintenance management subsystem manages system services, infrastructure and log management. The platform adopts a private cloud service renting mode to realize the quick construction of the platform based on the same network, reduces the construction fund and the technical requirements of the platform, and realizes the sharing of geographic data service resources among different users.
Description
Technical Field
The invention relates to the technical field of computer software, in particular to an integrated space-time big data and geographic information public service cloud platform.
Background
The successive construction of the geographic space frame of the digital city, the gradual deepening and popularization of the digital city, and a series of problems of high technical threshold, large operation and maintenance pressure, difficult application expansion, large investment and the like are also faced by each department. The transformation from the digital city to the smart city is realized, and the problem of the digital city in the application reality is built:
1. digital city construction lacks top level design;
2. the problem that the information system cannot share information still stands out;
3. the city management system can not adapt to informatization construction, and the technology and the management talents are still insufficient;
4. and an assessment and evaluation system aiming at digital city construction is lacked.
The construction of a push-to-digital city also exposes a number of technical problems, mainly including the following:
(1) spatial reference of urban basic geographic information data is not uniform
Different time-space references are adopted at different periods. The spatial basic geographic data and the spatial and temporal reference bases of the planning and design result are different, so that great inconvenience is brought to the application of regional results, and meanwhile, data sharing and higher-level utilization among departments are difficult to implement.
(2) The established digital information system has multiple service types
But the contact is less and the sharing is not strong. The service information systems of all departments do not form a network, the phenomenon of information isomerism is prominent, the systems cannot be interconnected, communicated and interoperated, uniform planning is lacked, and the major complex problems cannot be operated and solved in a coordinated mode.
(3) The digital city achievement standards are not unified, and the normative needs to be perfected
The classification, classification and explanation of the same object by different departments or industries are different, the representation method is not uniform, the automation degree of data exchange is not high directly caused by the non-uniformity of standards, the consistent geographic space data service cannot be provided, and especially the understanding difference on land classification is very unfavorable for city planning management.
(4) The information acquisition method is single and lacks of dynamic updating
In the era of information explosion type growth, information data is the soul of the system, and the lack of updating can not only influence the reality of perception cities, but also greatly reduce the practicability of the system.
(5) The legal system is not sound, the information opening degree is not high, and the operation mechanism needs to be further improved
Many important mapping data cannot be shared due to confidentiality requirements, but the data is closely related to the mass life of the society, so that further research on laws, data sharing and operation mechanisms is needed to generate greater social value.
(6) The digital city is unclear in understanding digitalization, networking, intellectualization and interrelation thereof in the urban informatization construction process, lacks scientific planning and top-level design, and faces a lot of difficulties in the process of transforming the digital city to the smart city.
Disclosure of Invention
Aiming at the defects in the prior art, the integrated space-time big data and geographic information public service cloud platform provided by the invention is used for integrally managing geographic information and realizing co-construction sharing and cooperative service of geographic information resources.
The embodiment of the invention provides an integrated space-time big data and geographic information public service cloud platform, which comprises: comprises a space-time information big data subsystem and a platform operation and maintenance management subsystem,
the space-time information big data subsystem comprises a production module, a sorting module and a management module,
the production module is used for managing basic mapping data to be put in storage, basic mapping data to be produced and establishing a geospatial framework data standard, wherein the basic mapping data comprises DLG data, DOM/DEM data, thematic data and place name address data;
the sorting module is used for preprocessing the basic mapping data;
the management module is used for checking and modifying the processed DLG data, DOM data, DEM data, geospatial frame data and place name address data;
the platform operation and maintenance management subsystem is used for managing system services, infrastructure and log management.
Further, the production module comprises a DLG data warehousing unit, the DLG data warehousing unit acquires a DLG source database address, a target database address, a data type, a metadata address and imported layer data, quality inspection is carried out on the data, and data warehousing is carried out after the quality inspection is passed.
And the DOM/DEM data warehousing unit acquires a target database, a data type, an embedded data set name, a coordinate system, a metadata address and data to be imported of the DOM/DEM data and performs warehousing/updating processing on the data.
Furthermore, the production module also comprises a special data warehousing unit, wherein the special data warehousing unit acquires a special data source address and data to be imported and executes data import on the special data.
Further, the production module further comprises a place name address data storage unit, and the place name address data storage unit is used for acquiring data to be stored according to the storage address of the place name address data input by the user and performing storage processing.
Further, the production module also comprises a task data issuing unit, and the task data issuing unit is used for issuing the task data to the data production unit according to the task name, the scale and the layer to be exported.
Furthermore, the production module also comprises a task management unit, and the task management unit is used for editing and displaying the issued task data.
Further, the sorting module comprises a data cutting unit and a conversion unit,
the cutting unit is used for cutting data according to the obtained database address to be cut and the imported layer, and storing the cut data;
the conversion unit is used for carrying out format conversion and coordinate conversion on the source file.
Furthermore, the arrangement module also comprises an image mosaic unit and a data spatialization processing unit,
the image mosaic unit is used for carrying out image mosaic processing according to a set output model, a mosaic data set name, a reference system and data to be added with mosaic;
and the data spatialization processing unit is used for carrying out data spatialization processing according to the set working table, the X coordinate field, the Y coordinate field, the Z coordinate field and the coordinate system.
Further, the platform operation and maintenance subsystem comprises a service management unit, an infrastructure management unit and a log management unit,
the service management unit is used for acquiring and managing service classification information, service state monitoring information and service information statistics;
the infrastructure management unit is used for acquiring and managing resource monitoring information, cloud service monitoring information and cloud service statistical information;
the log management unit is used for managing and managing an operation log, a login log, an audit log and a service access log.
The invention has the beneficial effects that:
according to the integrated space-time big data and geographic information public service cloud platform provided by the embodiment of the invention, the private cloud service renting mode is adopted to realize the quick construction of the platform based on the same network, the construction fund and the technical requirement of the platform are reduced, the repeated construction, the common operation and the maintenance of the platform are reduced, and the sharing of geographic data service resources among different users is realized.
Drawings
In order to more clearly illustrate the detailed description of the invention or the technical solutions in the prior art, the drawings that are needed in the detailed description of the invention or the prior art will be briefly described below. Throughout the drawings, like elements or portions are generally identified by like reference numerals. In the drawings, elements or portions are not necessarily drawn to scale.
FIG. 1 is a schematic structural diagram illustrating an integrated spatio-temporal big data and geographic information public service cloud platform provided by a first embodiment of the invention;
FIG. 2 is a schematic structural diagram of an integrated spatio-temporal big data and geographic information public service cloud platform provided by another embodiment of the invention;
FIG. 3 is a schematic structural diagram of an integrated spatio-temporal big data and geographic information public service cloud platform provided by another embodiment of the invention;
FIG. 4 is a schematic structural diagram of an integrated spatio-temporal big data and geographic information public service cloud platform provided by another embodiment of the invention;
FIG. 5 is a schematic structural diagram of an integrated spatio-temporal big data and geographic information public service cloud platform provided by another embodiment of the 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 some, not all, embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It will be understood that the terms "comprises" and/or "comprising," when used in this specification and the appended claims, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof.
It is also to be understood that the terminology used in the description of the invention herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the specification of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be further understood that the term "and/or" as used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.
As used in this specification and the appended claims, the term "if" may be interpreted contextually as "when", "upon" or "in response to a determination" or "in response to a detection". Similarly, the phrase "if it is determined" or "if a [ described condition or event ] is detected" may be interpreted contextually to mean "upon determining" or "in response to determining" or "upon detecting [ described condition or event ]" or "in response to detecting [ described condition or event ]".
It is to be noted that, unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
Fig. 1 shows a schematic structural diagram of an integrated spatio-temporal big data and geographic information public service cloud platform provided by a first embodiment of the invention, the system comprises a spatio-temporal information big data subsystem and a platform operation and maintenance management subsystem,
the space-time information big data subsystem comprises a production module, a sorting module and a management module,
the production module is used for managing basic mapping data to be put in storage, basic mapping data to be produced and establishing a geospatial framework data standard, wherein the basic mapping data comprises DLG data, DOM/DEM data, thematic data and place name address data;
the sorting module is used for preprocessing the basic mapping data;
the management module is used for checking and modifying DLG data, DOM data, DEM data, geospatial frame data and place name address data;
the platform operation and maintenance management subsystem is used for managing system services, infrastructure and log management.
The space-time big data subsystem comprises a production module, a sorting module and a management module, wherein the production module manages warehousing and production of basic mapping data, standardizes data generation standards and processes, establishes a data storage model and increases the time domain attribute of a geographic entity. Meanwhile, a data standard and a flow of a geographic space frame, an electronic map symbol library, a drawing template, a database of a place name address data standard are established, a data standard of space-time information big data sharing and exchange is determined, a data service standard and a function service standard are determined, and a standard of a service calling mode is determined. And the arrangement module performs standard data format conversion on the basic mapping data acquired by the production module to obtain data in accordance with the basic mapping data format stored in the database. The management module displays the preprocessed basic mapping data, and the user modifies and deletes the preprocessed basic mapping data through the management module. The platform operation and maintenance management subsystem manages system service, infrastructure, user approval, log management and system configuration.
The space-time information big data subsystem of the system also comprises a system login module and a data browsing module, wherein the system login module is used for a user to log in the system through an account, and different user authorities are different; the data browsing module is used for adding data, resetting a map and drawing by one key by a user. The one-key mapping realizes the extraction from the basic mapping data to the geographic space frame library, and the one-key mapping of the geographic frame data forms the complete data production, management, release and application process.
The integrated space-time big data and geographic information public service cloud platform is based on a private cloud computing architecture, establishes a city and county two-level unified private cloud infrastructure support, and provides a unified basic hardware facility and software platform for the city and county two-level platform. The users of the system comprise city-level unit users and county-level unit users, the users exist in the form of tenants, and self-help public service platforms are established by the tenants in a cloud server application mode, so that the aims of reducing construction expenses of the public service platforms, reducing technical requirements for construction of the county-level public service platforms and shortening construction periods of the county-level public service platforms are fulfilled. The system provides three major services of data service, functional service and cloud service for city and county two-level departments and government affairs units respectively. The cloud service comprises a public service platform, a cloud GIS cluster service, a cloud GIS database service, a cloud GIS desktop service, a cloud server service and cloud storage. The city and county platforms are kept relatively independent and isolated from each other, so that the safety and confidentiality of the city and county two-level platform data are ensured. Meanwhile, a data sharing mechanism is established among the city and county platforms, and the city-level platform can share data, functions and application resources to the county-level platforms to realize the issuing of the resources; each county-level platform can share data resources, functions and application resources to the city-level platform, and the city-level and county-level resources are converged; the county platform and the county platform can share and exchange respective data.
According to the integrated space-time big data and geographic information public service cloud platform provided by the embodiment of the invention, the private cloud service renting mode is adopted to realize the quick construction of the platform based on the same network, the construction fund and the technical requirement of the platform are reduced, the repeated construction, the common operation and the maintenance of the platform are reduced, and the sharing of geographic data service resources among different users is realized.
As shown in fig. 2, a schematic structural diagram of an integrated spatio-temporal big data and geographic information public service cloud platform provided by another embodiment of the present invention is shown, the structure is similar to the first embodiment, and is different from the first embodiment in that: the production module comprises a DLG data warehousing unit, the DLG data warehousing unit acquires a DLG source database address, a target database address, a data type, a metadata address and imported layer data, quality inspection is carried out on the data, and data warehousing is carried out after the quality inspection is passed. The production module further comprises DOM/DEM data warehousing printing, and the DOM/DEM data warehousing unit acquires a target database, a data type, an embedded data set name, a coordinate system, a metadata address and data to be imported of the DOM/DEM data and performs warehousing/updating processing on the data. The production module further comprises a special data storage unit, and the special data storage unit acquires a special data source address and data to be imported and executes data import on the special data. The production module further comprises a place name address data storage unit, and the place name address data storage unit is used for acquiring data to be stored according to the storage address of the place name address data input by the user and performing storage processing. The production module also comprises a task data issuing unit which is used for issuing the task data to a data production unit according to the task name, the scale and the layer to be exported. The production module also comprises a task management unit, and the task management unit is used for editing and displaying the issued task data. And the production module is used for warehousing and producing according to the acquired basic mapping data and managing the issued task data. The production module carries out data production by taking the task as a core, and the problem of separation of data production and management is solved.
As shown in fig. 3, a schematic structural diagram of an integrated spatio-temporal big data and geographic information public service cloud platform provided by another embodiment of the present invention is shown, the structure is similar to the first embodiment, and is different from the first embodiment in that: the arrangement module comprises a data cutting unit and a conversion unit, wherein the cutting unit is used for cutting data according to the obtained database address to be cut and the imported layer and storing the cut data; the conversion unit is used for carrying out format conversion and coordinate conversion on the source file. The conversion unit includes format conversion and coordinate conversion. The format conversion comprises three types of batch conversion, element conversion and CAD (computer-aided design) export, after the source data file format is added, the format conversion is carried out after the layer is selected, and the converted file is output to a set storage path; the coordinate conversion comprises three types of batch conversion, element conversion and grid conversion, after the conversion type is selected, a file to be converted and a conversion layer are added, a target coordinate system and an output path are set, and the converted data are stored in the output path. The arrangement module also comprises an image mosaic unit and a data spatialization processing unit, wherein the image mosaic unit is used for carrying out image mosaic processing according to a set output model, a mosaic data set name, a reference system and data to be added with mosaic; and the data spatialization processing unit is used for carrying out data spatialization processing according to the set working table, the X coordinate field, the Y coordinate field, the Z coordinate field and the coordinate system.
As shown in fig. 4, a schematic structural diagram of an integrated spatio-temporal big data and geographic information public service cloud platform provided by another embodiment of the present invention is shown, the structure is similar to the first embodiment, and is different from the first embodiment in that: the management module comprises a DLG data management unit, a DOM data management unit, a DEM data management unit, a geographic space frame data management unit and a place name address data management unit. And the management module manages the mapping data according to the version. For example, the DLG data management unit is configured to manage DLG data of respective versions. A user selects 1:500 data in a DLG data management unit, a current database and a historical database exist, after the historical database is selected, the user can browse corresponding metadata information and reset a map (restore the map to an initial state), and the metadata information of the DLG data comprises version numbers, version names, data types, data sources, data production units, space references, scales, data warehousing dates, data production dates, data contents, data updating ranges, data coverage ranges and data coverage map width information. The user can browse the corresponding metadata and map according to the selected data version name through the DOM data management unit to restore the initial state. And the place name address data management unit is used for displaying the query result according to the acquired query condition and acquiring modification and deletion of the query data. The management module manages by taking the data version as a core, establishes the historical version and the display version of the data, and solves the problems of messy data management and difficult distribution.
The management module further comprises a data filing unit, and the data filing unit is used for filing data after acquiring version information of the data to be filed, the scale and the set name of the filing data set. Therefore, the method is beneficial to the summarization and the arrangement of the data of the same type. The management module further comprises a data distribution unit, and the data distribution unit is used for distributing and outputting the result data to the set path according to the distribution range, the distribution data scale and the data type.
The space-time big data subsystem further comprises a system application module, and the system application module is used for obtaining system parameter setting and data output application. The application module comprises an output tool unit and a system setting unit, wherein the output tool unit comprises a thematic drawing tool and a data result exporting tool. The system setting unit comprises a menu management subunit, a configuration management subunit, a data extraction scheme subunit, a storage management subunit and a log management subunit. The configuration management subunit is used for setting coordinate conversion parameter configuration and map service configuration, a user selects a coordinate conversion scheme and sets coordinate conversion parameters, the coordinate conversion parameters comprise an input geographic coordinate system, an output geographic coordinate system and a coordinate conversion method, finally, the map service configuration is set, a connection test is carried out after a map service address is selected, and the success of service connection indicates the success of configuration. The system can set system parameters and data output quickly by a user through setting a system application module.
As shown in fig. 5, a schematic structural diagram of an integrated spatio-temporal big data and geographic information public service cloud platform provided by another embodiment of the present invention is shown, the structure is similar to the first embodiment, and is different from the first embodiment in that: the platform operation and maintenance subsystem comprises a service management unit, an infrastructure management unit and a log management unit, wherein the service management unit is used for acquiring and managing service classification information, service state monitoring information and service information statistics; the infrastructure management unit is used for acquiring and managing resource monitoring information, cloud service monitoring information and cloud service statistical information; the log management unit is used for managing and managing an operation log, a login log, an audit log and a service access log. The service management unit comprises a service classification subunit, a service state monitoring information subunit and a service information statistics subunit, wherein the service classification subunit is used for classifying and managing services and displaying service classification conditions in a list form; the service state monitoring information subunit is used for managing service comprehensive monitoring information and service current monitoring information; the service information counting subunit is used for counting resource services, service access volumes and platform access volumes. The infrastructure management unit comprises a resource monitoring management subunit and a cloud service monitoring management subunit, wherein the resource monitoring management subunit is used for monitoring and managing a resource pool, a physical server, a virtual machine and a mirror image template. The cloud service monitoring management subunit monitors and manages a public service platform, a cloud GIS cluster, a cloud GIS database, a cloud GIS desktop and a cloud GIS server.
An embodiment of a computer-readable storage medium is also provided in the present invention, the computer storage medium storing a computer program comprising program instructions that, when executed by a processor, cause the processor to perform a method implementing the system embodiments described above.
The computer readable storage medium may be an internal storage unit of the terminal described in the foregoing embodiment, for example, a hard disk or a memory of the terminal. The computer readable storage medium may also be an external storage device of the terminal, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like provided on the terminal. Further, the computer-readable storage medium may also include both an internal storage unit and an external storage device of the terminal. The computer-readable storage medium is used for storing the computer program and other programs and data required by the terminal. The computer readable storage medium may also be used to temporarily store data that has been output or is to be output.
Those of ordinary skill in the art will appreciate that the elements and algorithm steps of the examples described in connection with the embodiments disclosed herein may be embodied in electronic hardware, computer software, or combinations of both, and that the components and steps of the examples have been described in a functional general in the foregoing description for the purpose of illustrating clearly the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. 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 invention.
It can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the terminal and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed terminal and method can be implemented in other manners. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may also be an electric, mechanical or other form of connection.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. An integrated space-time big data and geographic information public service cloud platform is characterized by comprising a space-time information big data subsystem and a platform operation and maintenance management subsystem,
the space-time information big data subsystem comprises a production module, a sorting module and a management module,
the production module is used for managing basic mapping data to be put in storage, basic mapping data to be produced and establishing a geospatial framework data standard, wherein the basic mapping data comprises DLG data, DOM/DEM data, thematic data and place name address data;
the sorting module is used for preprocessing the basic mapping data;
the management module is used for checking and modifying the processed DLG data, DOM data, DEM data, geospatial frame data and place name address data;
the platform operation and maintenance management subsystem is used for managing system services, infrastructure and log management.
2. The integrated space-time big data and geographic information public service cloud platform of claim 1, wherein the production module comprises a DLG data warehousing unit, the DLG data warehousing unit acquires a DLG source database address, a target database address, a data type, a metadata address and imported layer data, performs quality inspection on the data, and performs data warehousing after the quality inspection is passed.
3. The integrated spatiotemporal big data and geographic information public service cloud platform of claim 2, wherein the production module further comprises a DOM/DEM data warehousing unit, and the DOM/DEM data warehousing unit acquires a target database, a data type, an embedded data set name, a coordinate system, a metadata address and data to be imported of DOM/DEM data and performs warehousing/updating processing on the data.
4. The integrated space-time big data and geographic information public service cloud platform of claim 3, wherein the production module further comprises a topical data warehousing unit, the topical data warehousing unit obtains a topical data source address and data to be imported and performs data import on the topical data.
5. The integrated space-time big data and geographic information public service cloud platform of claim 4, wherein the production module further comprises a place name address data warehousing unit, and the place name address data warehousing unit is used for acquiring data to be warehoused according to a storage address of place name address data input by a user and performing warehousing processing.
6. The integrated spatio-temporal big data and geographic information public service cloud platform of claim 1 or 5, wherein the production module further comprises a task data issuing unit, and the task data issuing unit is used for issuing task data to a data production unit according to a task name, a scale and a layer to be derived.
7. The integrated spatio-temporal big data and geographic information public service cloud platform of claim 6, wherein the production module further comprises a task management unit for editing and displaying the delivered task data.
8. The integrated spatio-temporal big data and geographic information public service cloud platform of claim 1, wherein the collation module comprises a data cropping unit and a conversion unit,
the cutting unit is used for cutting data according to the obtained database address to be cut and the imported layer, and storing the cut data;
the conversion unit is used for carrying out format conversion and coordinate conversion on the source file.
9. The integrated spatio-temporal big data and geographic information public service cloud platform of claim 8, wherein the collating module further comprises an image mosaicing unit and a data spatialization processing unit,
the image mosaic unit is used for carrying out image mosaic processing according to a set output model, a mosaic data set name, a reference system and data to be added with mosaic;
and the data spatialization processing unit is used for carrying out data spatialization processing according to the set working table, the X coordinate field, the Y coordinate field, the Z coordinate field and the coordinate system.
10. The integrated spatio-temporal big data and geographic information public service cloud platform of claim 1, wherein the platform operation and maintenance subsystem comprises a service management unit, an infrastructure management unit, and a log management unit,
the service management unit is used for acquiring and managing service classification information, service state monitoring information and service information statistics;
the infrastructure management unit is used for acquiring and managing resource monitoring information, cloud service monitoring information and cloud service statistical information;
the log management unit is used for managing and managing an operation log, a login log, an audit log and a service access log.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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| CN113076308A (en) * | 2021-03-22 | 2021-07-06 | 航天精一(广东)信息科技有限公司 | Space-time big data service system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113076308A (en) * | 2021-03-22 | 2021-07-06 | 航天精一(广东)信息科技有限公司 | Space-time big data service system |
| CN112988788A (en) * | 2021-05-20 | 2021-06-18 | 四川省林业和草原调查规划院 | Method for checking mutation of spatial data in territorial space planning, application system and cloud platform |
| CN113486132A (en) * | 2021-07-12 | 2021-10-08 | 重庆链图信息技术有限公司 | Complete life cycle management system of geographic unit |
| CN115221184A (en) * | 2022-09-01 | 2022-10-21 | 北京理工大学 | Basic geographic data sending method, device, equipment and computer readable medium |
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