CN109636225A - A kind of wisdom ocean big data monitors system - Google Patents
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Abstract
The present invention relates to a kind of wisdom ocean big data systems, from top to bottom successively include: data resource layer, comprehensive supporting layer, service application layer and client layer；Wherein, the data resource layer, for storing Various database and its corresponding required data resource；Thus the comprehensive support platform layer constructs comprehensive support platform for generating several infrastructure components using data resource；The service application layer, for carrying out migration integration to existing operation system according to infrastructure component and building newly-built operation system；The client layer, for providing data service and data access interface.
Description
Technical Field
The invention belongs to the technical field of ocean development and application, and particularly relates to an intelligent ocean big data monitoring system.
Background
The ocean is not only an important component of life support systems, but is also a valuable asset for sustainable development. In the 21 st century, international political, economic, military and scientific activities were unable to leave the ocean, and human sustainable development will certainly depend more and more on the ocean. The smart ocean is engineering construction taking information as a leading factor, is also an ocean form in the 'Internet +' era, and is an effective way for solving the problem of massive ocean information integration. The wisdom ocean is the objective requirement that changes ocean management and control and ocean development mode, promotes ocean economy development quality, through the combination of electronic information technique and traditional marine equipment and the experience of human marine activity, effectively improves the security and the efficiency of each item marine activity. The smart ocean construction necessarily uses information technology application as a main line, and necessarily relates to innovative application of the information technology, and the information technology uses emerging hot spot technologies such as internet of things, cloud computing, mobile internet, big data and artificial intelligence as a core and support.
In the prior art, ocean service systems include a plurality of systems such as island dynamic monitoring, environment monitoring, operation monitoring, forecast disaster reduction, aquaculture and the like, and each system comprises a plurality of subsystems. However, the information systems are processed independently, the information islands are serious, information sharing is difficult to realize, and sharing and interconnection among the service systems are difficult. The perception equipment has dispersed observation data, lacks data integration, has low information resource development and utilization efficiency, and cannot realize the overall planning and decision support of multi-service systems aiming at sea area and island dynamic monitoring, marine economy, marine fishery, marine law enforcement, marine ecological environment, marine forecast and disaster reduction and the like.
Disclosure of Invention
The invention aims to solve the defects of the existing intelligent marine big data system, provides an intelligent marine big data monitoring system, overcomes the problems of data dispersion, low data resource utilization rate and the like in the prior art, creates an air-based, sea-based and shore-based integrated three-dimensional monitoring and monitoring system, and various basic and common support service systems such as multi-source data resource sharing, information exchange, service access and service integration, and improves the intelligent marine perception capability, information transmission capability and big data fusion capability.
In order to achieve the above object, the present invention provides an intelligent marine big data system, which sequentially comprises, from bottom to top: a data resource layer, a comprehensive support layer, a service application layer and a user layer; wherein,
the data resource layer is used for storing a multi-source database and corresponding required data resources;
the comprehensive supporting platform layer is used for generating a plurality of basic components by utilizing data resources so as to construct a comprehensive supporting platform; the basic component is used for providing data resource directory carding, data source analysis, data authority management, association analysis, historical data activation, internal and external data fusion, distributed storage, data mining and internal data fusion;
the service application layer is used for carrying out migration integration on the existing service system according to the basic component and building a newly-built service system;
and the user layer is used for providing data service and a data access interface.
As one of the improvements of the above system, the multi-source database specifically includes: public basic database, ocean thematic database, statistical database and comprehensive database.
As an improvement of the above system, the common base database mainly includes: a basic geographic information database, a remote sensing image database, an environment database and a marine basic database; wherein,
the base geographic database includes: the vector data, the raster (DEM) data, the text data, the panoramic data and other types of data are mainly characterized by complex data structure, more attribute data content, large data volume, complex spatial reference and the like, the vector data of the province mainly comprises data such as an electronic map, various administrative boundaries, roads and the like, the vector data describe abstract geographic elements and are stored in a database or file mode, and the text data records relevant attribute information of the geographic elements and the like.
The geographic information database includes: a grid map database, a vector terrain element database, a digital elevation model database, a place name database and an orthographic image database of basic geographic information such as coastal sea wall distribution and elevation data, coastal land elevation data, landform data, vegetation coverage, land utilization, water system distribution, administrative zoning data, traffic, resident, social and economic data and the like;
the remote sensing image database includes: satellite remote sensing image data and aerial remote sensing image data; wherein,
the satellite remote sensing image data comprises: satellite data resources such as Landsat series, CBERS 04, HJ 1A/1B, EUMETSAT, sunflower No. 8, MODIS, AVISO, resource No. three, resource No. 02C, resource No. 02 star, GF1, GF2, GF3, GF4, FY series meteorological satellite, AQUA/TERRA, SNPP/VIIRS, G-OCI, HY-A, HY-B series, AVHRR, Pleiades, SPOT, TerrasAR, QB-2, WV-1.2.3, GEO1, CBERS-01, CBERS-02, etc.;
the aerial remote sensing image data comprises: aerial image data and video data shot by an unmanned aerial vehicle, a low-altitude airship and the like;
the environment database includes: a meteorological database and a hydrological water quality database; wherein,
the weather database is mainly used for storing the early warning information of the oceanographic weather forecast in the sea area governed by Zhejiang province and the weather information of the past years in the jurisdiction range of Zhejiang province, wherein the weather information comprises data such as temperature, humidity, wind power, typhoon, effective wave height, sea temperature, sea surface wind field, sea fog, storm surge, red tide and the like;
the hydrological water quality database is mainly used for storing hydrological water quality monitoring data such as chlorophyll a concentration, suspended matter concentration, enteromorpha, green moss and the like in the sea area governed by Zhejiang province;
the marine topical data comprises: coastal zone data, island data, marine ecological environment data, marine disaster data, marine basic data, communication and navigation data, marine numerical forecast data and marine fishery data; wherein,
the coastal zone data includes: coastline monitoring data and coastline change data;
the island data includes: island shoreline monitoring data, island utilization monitoring data;
marine ecological environment data include: monitoring data of marine ecological functional areas, ecological sensitive areas, ecological fragile areas, marine protection areas, important estuaries, ecological systems, important coastal wetlands, important fishery sea areas, natural landscapes, historical cultural relics, important coastal tourist areas, marine projects and the like;
marine disaster data: typhoon, storm surge, red tide, green tide, oil spill, scene photo video of emergency, ship collision, emergency treatment mechanism, emergency treatment scheme, emergency treatment team, emergency treatment technology, scene photo video of emergency treatment, emergency treatment effect and the like.
Marine basic data: sea island survey data, marine functional divisions, aquaculture place distribution, various marine and fishery management laws and regulations, industry standards and other data.
Communication and navigation data: AIS, link communication, network communication data and Beidou satellite data;
the marine numerical forecast data comprises: wind field, wave field, flow field, temperature field, etc.
Marine fishery data includes: aquaculture resources, aquaculture plans, current aquaculture situation, aquaculture management, fishery resources, fishery plans, current marine fishing situation, marine fishing management, and the like.
As an improvement of the above system, the statistical database comprises: statistical planning documents such as marine economic planning, marine laws and regulations, marine development planning, marine environment bulletin and the like.
As an improvement of the above system, the integrated database includes: planning data, attribute data, log data, public information distribution and the like required by the service system.
As an improvement of the above system, the integrated supporting platform layer specifically includes:
the basic functions of authority authentication of users, safety management, resource management, transaction and data management of the existing system and the newly-built system are provided. Various basic and public support services such as resource sharing, information exchange, service access, service integration, process control, safety control, system management and the like are realized by depending on a cloud computing platform, various special service application systems are integrated on the platform under the support of a comprehensive support platform, a unified service interface and information services with clear structures and customizable contents are provided by unified user login, the concentration and integration of information resources and service applications are realized, and the comprehensive information resource sharing, unified login, comprehensive query and three-dimensional visualization are realized. The unified user login is used for providing unified login for the user; the comprehensive query is used for providing comprehensive query of each information resource; the three-dimensional visualization is used for carrying out three-dimensional display on the data; and the information sharing and publishing are used for sharing the information resources.
The basic components are the foundation for constructing the operation platform and the system construction, and each component in the basic components provides a corresponding function to correspondingly complete a specific task; and more complex tasks are completed through the combined calling of all the components. The comprehensive supporting platform adopts a sharing and calling mode of the components, so that the system construction efficiency can be greatly improved, and the system construction cost is reduced. The basic component is used for providing functions of data resource directory combing, data source analysis, data authority management, association analysis, historical data activation, internal and external data fusion, distributed storage, data mining and internal data fusion.
As an improvement of the above system, the service application layer specifically includes:
the multi-source data of the data resource layer is utilized, the data are processed and expressed in multiple modes through the comprehensive supporting platform layer, the existing service system is migrated and integrated and a newly built service system is built according to the service types, and the service application of marine fishery, ecological environment, emergency and law enforcement is realized; different service systems are called according to different user requirements, and corresponding data services are provided; the service application layer mainly integrates the migration of the existing service system and performs unified management on the newly-built service system. Wherein,
the system migration and integration is performed through the multi-source database open authority, the interface intercommunication or the interpretation of the data resources stored in the existing database, specifically, the migration and integration is performed on the existing service system, and the existing service system after the migration and integration includes: the system comprises a sea area and island dynamic monitoring system, a marine environment monitoring system, a marine economic operation monitoring service system, a marine fishery information management system, a marine forecast video consultation service system and an aquaculture management system;
the new service system comprises: the system comprises an e-navigation support system, a harbor remote online monitoring system, a marine oil film comprehensive monitoring system, an aquatic product quality safety tracing system, a law enforcement ship intelligent supervision system, a fishery production management system, a fisherman fishing supervision system, a marine trade transaction supervision system, a Beidou-based fishery safety management service unified information management system and a marine big data service decision platform.
The invention has the advantages that:
1. by using new technologies such as migration integration, distributed management, big data mining and the like, the ocean data is efficiently managed and historical data is activated, and data resources are fully utilized to mine data values, so that the ocean data is better applied to ocean business application.
2. The information island problem of the existing dispersed chimney type repeated service system is faced, unified platform management of the service system is realized by using modes of interface development or system migration and the like, and hierarchical management is carried out according to user requirements of different levels.
3. The existing big data resources are fully exerted, the centralized management of ocean resources and the centralized management of business system functions are realized, the plug-in micro-service capability is realized, and a service decision platform is provided for ocean emergency decisions.
Drawings
FIG. 1 is a schematic diagram of a smart ocean big data system according to the present invention.
Detailed Description
The invention will now be further described with reference to the accompanying drawings.
As shown in fig. 1, the present invention provides an intelligent marine big data system, which sequentially includes, from bottom to top: a data resource layer, a comprehensive support layer, a service application layer and a user layer; wherein,
the data resource layer is used for storing a multi-source database and corresponding required data resources;
the comprehensive supporting platform layer is used for generating a plurality of basic components by utilizing data resources so as to construct a comprehensive supporting platform; the basic component is used for providing data resource directory carding, data source analysis, data authority management, association analysis, historical data activation, internal and external data fusion, distributed storage, data mining and internal data fusion;
the service application layer is used for carrying out migration integration on the existing service system according to the basic component and building a newly-built service system;
and the user layer is used for providing data service and a data access interface.
As one of the improvements of the above system, the multi-source database specifically includes: public basic database, ocean thematic database, statistical database and comprehensive database.
As an improvement of the above system, the common base database mainly includes: a basic geographic information database, a remote sensing image database, an environment database and a marine basic database; wherein,
the base geographic database includes: the vector data, the raster (DEM) data, the text data, the panoramic data and other types of data are mainly characterized by complex data structure, more attribute data content, large data volume, complex spatial reference and the like, the vector data of the province mainly comprises data such as an electronic map, various administrative boundaries, roads and the like, the vector data describe abstract geographic elements and are stored in a database or file mode, and the text data records relevant attribute information of the geographic elements and the like.
The geographic information database includes: a grid map database, a vector terrain element database, a digital elevation model database, a place name database and an orthographic image database of basic geographic information such as coastal sea wall distribution and elevation data, coastal land elevation data, landform data, vegetation coverage, land utilization, water system distribution, administrative zoning data, traffic, resident, social and economic data and the like;
the remote sensing image database includes: satellite remote sensing image data and aerial remote sensing image data; wherein,
the satellite remote sensing image data comprises: satellite data resources such as Landsat series, CBERS 04, HJ 1A/1B, EUMETSAT, sunflower No. 8, MODIS, AVISO, resource No. three, resource No. 02C, resource No. 02 star, GF1, GF2, GF3, GF4, FY series meteorological satellite, AQUA/TERRA, SNPP/VIIRS, G-OCI, HY-A, HY-B series, AVHRR, Pleiades, SPOT, TerrasAR, QB-2, WV-1.2.3, GEO1, CBERS-01, CBERS-02, etc.;
the aerial remote sensing image data comprises: aerial image data and video data shot by an unmanned aerial vehicle, a low-altitude airship and the like;
the environment database includes: a meteorological database and a hydrological water quality database; wherein,
the weather database is mainly used for storing the early warning information of the oceanographic weather forecast in the sea area governed by Zhejiang province and the weather information of the past years in the jurisdiction range of Zhejiang province, wherein the weather information comprises data such as temperature, humidity, wind power, typhoon, effective wave height, sea temperature, sea surface wind field, sea fog, storm surge, red tide and the like;
the hydrological water quality database is mainly used for storing hydrological water quality monitoring data such as chlorophyll a concentration, suspended matter concentration, enteromorpha, green moss and the like in the sea area governed by Zhejiang province;
the marine topical data comprises: coastal zone data, island data, marine ecological environment data, marine disaster data, marine basic data, communication and navigation data, marine numerical forecast data and marine fishery data; wherein,
the coastal zone data includes: coastline monitoring data and coastline change data;
the island data includes: island shoreline monitoring data, island utilization monitoring data;
marine ecological environment data include: monitoring data of marine ecological functional areas, ecological sensitive areas, ecological fragile areas, marine protection areas, important estuaries, ecological systems, important coastal wetlands, important fishery sea areas, natural landscapes, historical cultural relics, important coastal tourist areas, marine projects and the like;
marine disaster data: typhoon, storm surge, red tide, green tide, oil spill, scene photo video of emergency, ship collision, emergency treatment mechanism, emergency treatment scheme, emergency treatment team, emergency treatment technology, scene photo video of emergency treatment, emergency treatment effect and the like.
Marine basic data: sea island survey data, marine functional divisions, aquaculture place distribution, various marine and fishery management laws and regulations, industry standards and other data.
Communication and navigation data: AIS, link communication, network communication data and Beidou satellite data;
the marine numerical forecast data comprises: wind field, wave field, flow field, temperature field, etc.
Marine fishery data includes: . Aquaculture resources, aquaculture plans, current aquaculture situation, aquaculture management, fishery resources, fishery plans, current marine fishing situation, marine fishing management, and the like.
As an improvement of the above system, the statistical database comprises: statistical planning documents such as marine economic planning, marine laws and regulations, marine development planning, marine environment bulletin and the like.
As an improvement of the above system, the integrated database includes: planning data, attribute data, log data, public information distribution and the like required by the service system.
As an improvement of the above system, the integrated supporting platform layer specifically includes:
the basic functions of authority authentication of users, safety management, resource management, transaction and data management of the existing system and the newly-built system are provided. Various basic and public support services such as resource sharing, information exchange, service access, service integration, process control, safety control, system management and the like are realized by depending on a cloud computing platform, various special service application systems are integrated on the platform under the support of a comprehensive support platform, a unified service interface and information services with clear structures and customizable contents are provided by unified user login, the concentration and integration of information resources and service applications are realized, and the comprehensive information resource sharing, unified login, comprehensive query and three-dimensional visualization are realized. The unified user login is used for providing unified login for the user; the comprehensive query is used for providing comprehensive query of each information resource; the three-dimensional visualization is used for carrying out three-dimensional display on the data; and the information sharing and publishing are used for sharing the information resources.
The basic components are the foundation for constructing the operation platform and the system construction, and each component in the basic components provides a corresponding function to correspondingly complete a specific task; and more complex tasks are completed through the combined calling of all the components. The comprehensive supporting platform adopts a sharing and calling mode of the components, so that the system construction efficiency can be greatly improved, and the system construction cost is reduced. The basic component is used for providing functions of data resource directory combing, data source analysis, data authority management, association analysis, historical data activation, internal and external data fusion, distributed storage, data mining and internal data fusion.
In this embodiment, the method specifically includes:
the data resource catalog is sorted according to the requirement, the data resources of the existing business systems, namely 'home base', ocean data touch is developed, and an ocean data catalog list is compiled.
Data source analysis: according to the construction requirements of the marine management and auxiliary decision information platform, sources of internal data and external data are sorted, the internal data sources comprise marine business system extraction data, marine hall historical archive data and marine system data of cities and counties, and the external data sources comprise public basic geographic data, department shared data, internet capture data, domestic and foreign satellite data and the like.
Sources of internal data and external data are combed, the internal data sources comprise marine business system extraction data, marine hall historical archive data and marine system data of each city and county, and the external data sources comprise public basic geographic data, shared data of each department, internet capture data, satellite data at home and abroad and the like.
Data authority management: and classifying according to the role information and distributing the authority of the role. Tabulation of all role information, intuitive and simple input interface, and capability of inquiring roles in a classified manner. The role information can be added, modified, deleted, and the authority is assigned to the roles, so that the roles can be classified and the administrator can control the authority conveniently.
Activation history data: the module can realize the acquisition of historical data, activate massive data of a Hainan ocean hall and prepare for decision analysis.
Fusing internal and external data: the module gets through all the independent systems, extracts the related data of the business system on the premise of not influencing the normal operation of the existing business system, integrates the sea and island monitoring, the marine environment monitoring, the marine perception equipment data and the like, and realizes the real-time, comprehensive and efficient extraction of the business system data.
Data management and maintenance: the module mainly provides tools for information resource management and maintenance, including metadata management, data import and export, data quality inspection, data update, data conversion, data (set) management and maintenance, data editing, data charting, data backup and data security management.
Data visualization service: based on the survey data, the following basic geographical data are visualized on the electronic chart: marine primitives (shoreline, reef, island, dam, tidal station); residential areas and facilities (residential areas, artificial features, agriculture and facilities thereof); traffic information (anchor, port facilities, channel, lane navigation symbols, linear obstacles, point obstacles); geomorphic information (water system, salt pan).
Distributed storage: a distributed hybrid storage engine, remote data virtual integration and intelligent storage management technology are adopted to create a storage, management and exchange platform for massive heterogeneous space-time data.
Data mining: and performing decision tree, neural network, cluster analysis and other big data mining technologies on the collected marine thematic data including marine environment monitoring data, marine resource data, marine power information data, marine functional zoning data, marine fishery data, sea area ownership data, sea island data, marine administrative law enforcement data and the like to realize efficient utilization of data value.
And (3) internal data fusion: and establishing a shared information directory according to the business requirements of the project, coordinating and establishing a data use flow, shared directory metadata, a service interface standard and a service use method, and realizing information sharing and on-demand acquisition. Various means such as management, technology and the like are adopted to ensure the integrity of the shared data and the safety of the shared environment, meanwhile, the life cycle management of the data is strengthened, the whole-process traceability of the shared data is ensured, and the data audit is supported. Under the condition of network interconnection, a rapid and efficient sharing of data is supported by adopting an online sharing mode.
As an improvement of the above system, the service application layer specifically includes:
the multi-source data of the data resource layer is utilized, the data are processed and expressed in multiple modes through the comprehensive supporting platform layer, the existing service system is migrated and integrated and a newly built service system is built according to the service types, and the service application of marine fishery, ecological environment, emergency and law enforcement is realized; different service systems are called according to different user requirements, and corresponding data services are provided; the service application layer mainly integrates the migration of the existing service system and performs unified management on the newly-built service system. Wherein,
the system migration and integration is performed through the multi-source database open authority, the interface intercommunication or the interpretation of the data resources stored in the existing database, specifically, the migration and integration is performed on the existing service system, and the existing service system after the migration and integration includes: the system comprises a sea area and island dynamic monitoring system, a marine environment monitoring system, a marine economic operation monitoring service system, a marine fishery information management system, a marine forecast video consultation service system and an aquaculture management system;
the new service system comprises: the system comprises an e-navigation support system, a harbor remote online monitoring system, a marine oil film comprehensive monitoring system, an aquatic product quality safety tracing system, a law enforcement ship intelligent supervision system, a fishery production management system, a fisherman fishing supervision system, a marine trade transaction supervision system, a Beidou-based fishery safety management service unified information management system and a marine big data service decision platform.
As an improvement of the above system, a multi-source database stored in a data resource layer and corresponding required data resources are obtained through a marine sensing and communication infrastructure.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and are not limited. Although the present invention has been described in detail with reference to the embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (8)
1. The utility model provides an intelligence ocean big data system which from the bottom up includes in proper order: the system comprises a data resource layer, a comprehensive supporting layer, a service application layer and a user layer; wherein,
the data resource layer is used for storing a multi-source database and corresponding required data resources;
the comprehensive supporting platform layer is used for generating a plurality of basic components by utilizing data resources so as to construct a comprehensive supporting platform;
the service application layer is used for carrying out migration integration on the existing service system according to the basic component and building a newly-built service system;
and the user layer is used for providing data service and a data access interface.
2. The smart marine big data system of claim 1, wherein the multi-source database specifically comprises: public basic database, ocean thematic database, statistical database and comprehensive database.
3. The smart marine big data system of claim 2, wherein the common base database mainly comprises: a basic geographic information database, a remote sensing image database, an environment database and a marine basic database.
4. The smart marine big data system of claim 2, wherein the marine topical data comprises: coastal zone data, island data, marine ecological environment data, marine disaster data, marine basic data, communication and navigation data, marine numerical forecast data and marine fishery data.
5. The smart marine big data system of claim 2, wherein the comprehensive database comprises: planning data, attribute data, log data and public information release data required by the service system.
6. The smart marine big data system of claim 1, wherein the base component is configured to provide data resource directory combing, data source analysis, data authority management, association analysis, activation history data, internal and external data fusion, distributed storage, data mining, and internal data fusion.
7. The intelligent marine big data system of claim 1, wherein the existing business system comprises: the system comprises a sea area and island dynamic monitoring system, a marine environment monitoring system, a marine economic operation monitoring service system, a marine fishery information management system, a marine forecast video consultation service system and an aquaculture management system.
8. The intelligent marine big data system of claim 1, wherein the newly built business system comprises: the system comprises an e-navigation support system, a harbor remote online monitoring system, a marine oil film comprehensive monitoring system, an aquatic product quality safety tracing system, a law enforcement ship intelligent supervision system, a fishery production management system, a fisherman fishing supervision system, a marine trade transaction supervision system, a Beidou-based fishery safety management service unified information management system and a marine big data service decision platform.
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| CN110290167A (en) * | 2019-05-07 | 2019-09-27 | 上海望海大数据信息有限公司 | A kind of sea and land integration managing and control system |
| CN110377575A (en) * | 2019-06-21 | 2019-10-25 | 中国水产科学研究院南海水产研究所 | A kind of Fishing log data processing method, system, device and storage medium |
| CN112328215A (en) * | 2020-10-30 | 2021-02-05 | 西南电子技术研究所（中国电子科技集团公司第十研究所） | Integrated comprehensive operation management framework of aerospace measurement and control data transmission comprehensive equipment |
| CN112862321A (en) * | 2021-02-08 | 2021-05-28 | 国家海洋信息中心 | Ocean transportation statistical system based on AIS big data and statistical method thereof |
| CN113159492A (en) * | 2021-02-05 | 2021-07-23 | 南宁师范大学 | Digital ocean comprehensive business system |
| CN113487094A (en) * | 2021-07-09 | 2021-10-08 | 青岛杰瑞自动化有限公司 | Ocean data management application platform |
| WO2021218424A1 (en) * | 2020-04-30 | 2021-11-04 | 江苏科技大学 | Rbf neural network-based method for sea surface wind speed inversion from marine radar image |
| CN115655381A (en) * | 2022-12-08 | 2023-01-31 | 中国石油大学(华东) | Data acquisition control system and control method for ocean buoy |
| CN117615343A (en) * | 2023-11-30 | 2024-02-27 | 浙江省通信产业服务有限公司舟山市分公司 | Data base station in intelligent ocean and port field |
| CN117973794A (en) * | 2024-02-22 | 2024-05-03 | 北京新兴科遥信息技术有限公司 | Method and system for scheduling and optimizing homeland space planning data based on supervised learning |
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| CN117973794A (en) * | 2024-02-22 | 2024-05-03 | 北京新兴科遥信息技术有限公司 | Method and system for scheduling and optimizing homeland space planning data based on supervised learning |
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