CN112783897A - Modern agriculture science and technology service cloud platform - Google Patents
Modern agriculture science and technology service cloud platform Download PDFInfo
- Publication number
- CN112783897A CN112783897A CN202110051175.5A CN202110051175A CN112783897A CN 112783897 A CN112783897 A CN 112783897A CN 202110051175 A CN202110051175 A CN 202110051175A CN 112783897 A CN112783897 A CN 112783897A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- platform
- cloud platform
- architecture
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000005516 engineering process Methods 0.000 title claims abstract description 37
- 241000700605 Viruses Species 0.000 claims abstract description 17
- 238000007726 management method Methods 0.000 claims abstract description 15
- 238000013500 data storage Methods 0.000 claims abstract description 12
- 238000012550 audit Methods 0.000 claims abstract description 11
- 238000004364 calculation method Methods 0.000 claims abstract description 10
- 230000010354 integration Effects 0.000 claims abstract description 9
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 238000001514 detection method Methods 0.000 claims abstract description 8
- 238000013523 data management Methods 0.000 claims abstract description 7
- 230000006870 function Effects 0.000 claims description 20
- 238000004140 cleaning Methods 0.000 claims description 16
- 238000012545 processing Methods 0.000 claims description 11
- 238000007405 data analysis Methods 0.000 claims description 9
- 238000000034 method Methods 0.000 claims description 9
- 238000004458 analytical method Methods 0.000 claims description 8
- 230000008569 process Effects 0.000 claims description 7
- 238000013475 authorization Methods 0.000 claims description 6
- 238000013079 data visualisation Methods 0.000 claims description 6
- 238000003860 storage Methods 0.000 claims description 6
- 238000007418 data mining Methods 0.000 claims description 5
- 238000006243 chemical reaction Methods 0.000 claims description 4
- 240000000797 Hibiscus cannabinus Species 0.000 claims description 3
- 235000002905 Rumex vesicarius Nutrition 0.000 claims description 3
- 208000024780 Urticaria Diseases 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
- 238000013480 data collection Methods 0.000 claims description 3
- 230000002452 interceptive effect Effects 0.000 claims description 3
- 238000012423 maintenance Methods 0.000 claims description 3
- 238000012797 qualification Methods 0.000 claims description 3
- 239000000835 fiber Substances 0.000 claims description 2
- 238000005065 mining Methods 0.000 claims description 2
- 238000003032 molecular docking Methods 0.000 claims description 2
- 238000011160 research Methods 0.000 abstract description 10
- 238000011161 development Methods 0.000 description 7
- 238000004519 manufacturing process Methods 0.000 description 6
- 240000007594 Oryza sativa Species 0.000 description 4
- 235000007164 Oryza sativa Nutrition 0.000 description 4
- 235000009566 rice Nutrition 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 4
- 230000001488 breeding effect Effects 0.000 description 3
- 230000003993 interaction Effects 0.000 description 3
- 235000005976 Citrus sinensis Nutrition 0.000 description 2
- 240000002319 Citrus sinensis Species 0.000 description 2
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical compound [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 230000006872 improvement Effects 0.000 description 2
- 230000001737 promoting effect Effects 0.000 description 2
- 239000007787 solid Substances 0.000 description 2
- 230000009466 transformation Effects 0.000 description 2
- 244000003416 Asparagus officinalis Species 0.000 description 1
- 235000005340 Asparagus officinalis Nutrition 0.000 description 1
- 206010063385 Intellectualisation Diseases 0.000 description 1
- 244000269722 Thea sinensis Species 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000035558 fertility Effects 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 229910052742 iron Inorganic materials 0.000 description 1
- 210000001503 joint Anatomy 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000006855 networking Effects 0.000 description 1
- 108090000623 proteins and genes Proteins 0.000 description 1
- 238000012216 screening Methods 0.000 description 1
- 239000002689 soil Substances 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F16/221—Column-oriented storage; Management thereof
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2465—Query processing support for facilitating data mining operations in structured databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/256—Integrating or interfacing systems involving database management systems in federated or virtual databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Forestry; Mining
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Human Resources & Organizations (AREA)
- Strategic Management (AREA)
- General Engineering & Computer Science (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- General Business, Economics & Management (AREA)
- Tourism & Hospitality (AREA)
- Software Systems (AREA)
- Economics (AREA)
- Marine Sciences & Fisheries (AREA)
- Health & Medical Sciences (AREA)
- Life Sciences & Earth Sciences (AREA)
- Agronomy & Crop Science (AREA)
- Animal Husbandry (AREA)
- Quality & Reliability (AREA)
- Mining & Mineral Resources (AREA)
- Operations Research (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Probability & Statistics with Applications (AREA)
- Computational Linguistics (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention provides a modern agricultural science and technology service cloud platform. The modern agricultural science and technology service cloud platform comprises a technical architecture, an IT architecture, a safety architecture and an application function architecture. The technical architecture comprises: the device comprises a data acquisition module, a data integration module, a data storage module, a data calculation module, a data management module and an application module. The security architecture comprises a firewall system, an intrusion detection system, a vulnerability scanning tool, a virus protection system, an identity authentication and authority management system, an access control system and a security audit system. The application function architecture is as follows: the system comprises an application module of a certain agricultural science data sharing platform, an application module of a certain intelligent agricultural monitoring platform and an application module of a certain basic-level agricultural technology promotion informatization service platform. The modern agricultural scientific and technological service cloud platform provided by the invention can effectively integrate various agricultural scientific research information resources and provide corresponding service support.
Description
Technical Field
The invention relates to the technical field of agricultural networks, in particular to a modern agricultural science and technology service cloud platform.
Background
China is in the key period of transformation from traditional agriculture to modern agriculture, and informatization is the highest point of agricultural modernization. The development of digital economy, the promotion of digital industrialization, the drive of information technology innovation, the continuous promotion of new industry mode, and the promotion of new development with new kinetic energy. The method has the advantages that the deep integration of the internet, big data, artificial intelligence and entity economy is promoted, the digitalization, networking and intellectualization of manufacturing industry, agriculture and service industry are accelerated, the promotion of 'internet + modern agriculture' is facilitated, the construction of a modern agriculture industrial system, a production system and an operation system is facilitated, the agricultural innovation, competitiveness and full-factor productivity are continuously improved, and the conversion from the agricultural large country to the agricultural strong country is accelerated.
Big data is a new stage of informatization development and is a powerful hand grip for building agricultural rural modernization and implementing rural joy strategy. Big data development is changing day by day, agricultural data resources are most abundant, and what's brought by the' iron public machine 'of the industrial era is the' multiplier effect ', and what's brought by big data is the 'power effect'. Agricultural data resources are fully mined and applied, a data system is constructed and perfected, a sharing and opening and development and utilization mechanism of the data resources is perfected, big data and modern agricultural development and rural social management are deeply fused, and the method is favorable for mining and optimizing resource elements and promoting the structural reform potential of an agricultural supply side. Big data becomes an important basic strategic resource of the country, is a new infrastructure, constructs an agricultural digital resource system, increases the application strength of technological innovation and achievement transformation, strengthens the integration of government affair information resources, and improves the network security guarantee capability, which becomes a key task for promoting the development and application of agricultural big data.
At present, agricultural informatization faces to the increasing of scientific data, agricultural administration data and industrial data, the problems of data resource dispersion, uneven data quality, repeated investment construction, low management level and the like are presented, how to effectively collect and integrate the multi-source heterogeneous data such as the existing scientific and technological project data, scientific and experimental data, scientific and technological service data, agricultural condition data, scientific and technological literature resources, Internet of things monitoring data and the like is to expand the innovative application of future scientific big data, agricultural administration big data and industrial big data, improve the creativity of scientific research and improve the government improvement level and the industrial operation efficiency, and the problem is needed to be solved at present.
Therefore, there is a need to provide a new modern agricultural science and technology service cloud platform to solve the above technical problems.
Disclosure of Invention
The technical problem to be solved by the invention is to provide a modern agricultural scientific and technological service cloud platform which takes big data and cloud computing as support, effectively integrates various agricultural scientific research information resources and provides corresponding services.
In order to solve the technical problems, the modern agricultural science and technology service cloud platform provided by the invention comprises:
a technical architecture, the technical architecture comprising:
the data acquisition module is used for acquiring related data;
the data integration module is used for organically concentrating the data with different sources, formats and characteristic properties, which are acquired by the book note acquisition module;
the data storage module is used for storing different data by adopting a proper data storage scheme;
the data calculation module is used for analyzing, calculating and processing data;
the data management module is used for deployment, operation and maintenance of the system;
the application module is used for providing data analysis and mining, data visualization, data report forms, intelligent report generation and report coordination functions;
an IT framework comprising: an infrastructure virtualization layer, a virtualization management platform, and a local shared storage system.
Preferably, the data sources collected by the data collection module comprise a data center of an agricultural department, official website data and a national big data center.
Preferably, the data acquisition module comprises a data cleaning module, and the data cleaning module is used for detecting and eliminating errors or inconsistency in the data set, so as to improve the quality of the data, gathering the data through ways such as gathering, statistics and the like, and finally gathering the data into the data warehouse after cleaning, processing and importing processing.
Preferably, the data integration module converts the structured data into a data warehouse through a traditional button or etl tool, the streaming real-time data is collected and calculated in real time by adopting a kafka and storm framework, data exchange and docking of other platforms are interacted by adopting an oai open data access interface, and the data conversion and cleaning process is designed by a visualized data processing process through an enahdra system.
Preferably, the data storage module stores the data with strong structure in a clustered manner by adopting mycat and mysql; data with large column changes are stored by a column database hbase, text type structured data are stored by hives, unstructured full-text indexes are stored by a full-text database kbase system, fragmented files of small files are stored by an HFS (high frequency distributed file system), and large blocks of unstructured text data are stored by a hadoop hdfs system.
Preferably, the data calculation module performs batch calculation based on mapreduce and spark based on a mainstream big data platform framework hadoop as a basis, performs streaming calculation based on storm, and supports second-level real-time interactive query analysis OLAP.
Preferably, the data management module adopts docker to realize rapid and flexible deployment, and combines Ambari and Open-falcon technologies to dynamically adjust the deployment of computing resources according to the computing scale.
Preferably, the application module comprises a big data knowledge service platform, a big data analysis platform and a big data intelligent report and cooperation platform, and provides data analysis and mining, data visualization, data report forms, intelligent report generation and report cooperation functions.
Preferably, the local shared storage system adopts an FC SAN, and the server realizes data storage by connecting to a fabric switch.
A security architecture, the security architecture comprising: the system comprises a firewall system, an intrusion detection system, a vulnerability scanning tool, a virus protection system, an identity authentication and authority management system, an access control system and a security audit system.
The main function of the firewall system is to scan the network communication passing through the firewall system, filter the external malicious attacks, viruses and unauthorized accesses and prevent the external malicious attacks, viruses and unauthorized accesses from entering the firewall system;
the intrusion detection system is used for analyzing and tracking external accesses, checking the use conditions of the accesses to system resources and services, and giving an alarm in time once poor accesses are found;
the vulnerability scanning tool regularly scans each open service port and use condition in the system according to a set task plan so as to discover vulnerabilities possibly existing in the system;
the virus protection system is used for preventing software viruses and preventing the viruses from entering the system;
the functions of authentication of user qualification, authorization of resource service, encryption and decryption of network data and the like are realized through identity authentication and authority management;
the access control system is used for auditing the request and the access of the user according to the identity authentication of the user and the authorization condition of resources, and ensuring that all the accesses are within a limited range;
the security audit is used for carrying out security audit on the service condition of the system according to the service log and the network data stream, and discovering bad access and security holes in the system.
An application functionality architecture, the application functionality architecture comprising: the system comprises an application module of a certain agricultural science data sharing platform, an application module of a certain intelligent agricultural monitoring platform and an application module of a certain basic-level agricultural technology promotion informatization service platform.
The application module of the agricultural science data sharing platform automatically captures and cleans hundreds of important agricultural website data and information at home and abroad, and provides functions of visual analysis of certain agricultural conditions, collaborative analysis of agricultural natural resources and agricultural industrial structures, statistics of service conditions of certain science and technology special groups, provision of headline dynamics, policy interpretation, data service, industrial dynamics, industrial chain technology service and the like according to actual requirements.
The application module of the intelligent agricultural monitoring platform is mainly used for carrying out independent local monitoring, network live broadcast and agricultural product planting and production tracing on two agricultural cloud bases such as a certain city base management center and a certain city rice breeding center.
The application module of the basic-level agricultural technology promotion informatization service platform has the functions of data interaction and information push of the terminal agricultural technology cloud App, authentication and management of basic-level agricultural technology promotion and the like.
Compared with the related technology, the modern agricultural scientific and technological service cloud platform provided by the invention has the following beneficial effects:
the invention provides a modern agricultural scientific and technological service cloud platform, which is supported by big data and cloud computing, effectively integrates various agricultural scientific research information resources, builds an agricultural scientific and technological innovation data sharing service platform integrating functions of agricultural scientific research, agricultural information, intelligent agriculture, agricultural technical service and the like on the basis of the big data, and lays a solid foundation for developing a strategic and basic data support platform of the intelligent agriculture in the future.
Detailed Description
The present invention will be further described with reference to the following embodiments.
A modern agricultural science and technology service cloud platform comprises:
a technical architecture, the technical architecture comprising:
the data acquisition module is used for acquiring related data;
the data integration module is used for organically concentrating the data with different sources, formats and characteristic properties, which are acquired by the book note acquisition module;
the data storage module is used for storing different data by adopting a proper data storage scheme;
the data calculation module is used for analyzing, calculating and processing data;
the data management module is used for deployment, operation and maintenance of the system;
the application module is used for providing data analysis and mining, data visualization, data report forms, intelligent report generation and report coordination functions;
an IT framework comprising: an infrastructure virtualization layer, a virtualization management platform, and a local shared storage system.
The data sources collected by the data collection module comprise a data center of a farm department, a network big data center and a national big data center.
The data acquisition module comprises a data cleaning module, the data cleaning module is used for detecting and eliminating errors or inconsistency in a data set so as to improve the quality of data, the data is gathered through ways of collecting, gathering, counting and the like, then is cleaned, processed and imported, and finally is imported into a data warehouse, the data quality is the basis for analyzing the effectiveness and accuracy of the data, dirty data in the data set is cleaned in a filtering mode usually, and the effectiveness and accuracy of a basic data set are further ensured. The reason for analyzing the dirty data and the existing form of the dirty data are the principle of data cleaning, and related cleaning software or tools are used for cleaning the data to change the dirty data into clean data, so that the data quality is improved. Analyzing data from a source of dirty data generation, carrying out full-disk investigation on a data set, further extracting a data cleaning principle, finally finding the dirty data in the data set by using the extracted cleaning rule, and cleaning the data.
The data integration module converts structured data into a data warehouse through a traditional button or etl tool, the streaming real-time data are collected and calculated in real time by adopting a kafka and storm framework, data exchange and butt joint of other platforms are interacted by adopting an oai open data access interface, and the data conversion and cleaning process is subjected to visualized data processing process design by an enahdra system.
The data storage module is used for storing the data with strong structuralization in a clustered mode through mycat and mysql; data with large column changes are stored by a column database hbase, text type structured data are stored by hives, unstructured full-text indexes are stored by a full-text database kbase system, fragmented files of small files are stored by an HFS (high frequency distributed file system), and large blocks of unstructured text data are stored by a hadoop hdfs system.
The data calculation module is based on a mainstream big data platform frame hadoop, performs batch calculation based on mapreduce and spark, performs streaming calculation based on storm, and supports second-level real-time interactive query analysis (OLAP).
The data management module adopts docker to realize rapid and flexible deployment, and dynamically adjusts the deployment of computing resources according to the computing scale by combining Ambari and Open-falcon technologies.
The application module comprises a big data knowledge service platform, a big data analysis platform and a big data intelligent report and cooperation platform, and provides functions of data analysis and mining, data visualization, data report forms, intelligent report generation and report cooperation.
The local shared storage system adopts FC SAN, and the server realizes data storage by connecting a fiber switch.
A security architecture, said security architecture comprising: the system comprises a firewall system, an intrusion detection system, a vulnerability scanning tool, a virus protection system, an identity authentication and authority management system, an access control system and a security audit system.
The main function of the firewall system is to scan the network communication passing through the firewall system, filter the external malicious attacks, viruses and unauthorized accesses and prevent the external malicious attacks, viruses and unauthorized accesses from entering the firewall system;
the intrusion detection system is used for analyzing and tracking external accesses, checking the use conditions of the accesses to system resources and services, and giving an alarm in time once poor accesses are found;
the vulnerability scanning tool regularly scans each open service port and use condition in the system according to a set task plan so as to discover vulnerabilities possibly existing in the system;
the virus protection system is used for preventing software viruses and preventing the viruses from entering the system;
the functions of authentication of user qualification, authorization of resource service, encryption and decryption of network data and the like are realized through identity authentication and authority management;
the access control system is used for auditing the request and the access of the user according to the identity authentication of the user and the authorization condition of resources, and ensuring that all the accesses are within a limited range;
the security audit is used for carrying out security audit on the service condition of the system according to the service log and the network data stream, and discovering bad access and security holes in the system.
An application functionality architecture, the application functionality architecture comprising: the system comprises an application module of a certain agricultural science data sharing platform, an application module of a certain intelligent agricultural monitoring platform and an application module of a certain basic-level agricultural technology promotion informatization service platform.
The agricultural science data sharing platform application module has three functions of a data center, knowledge service, data sharing and the like. The data center can automatically capture and clean hundreds of important agricultural-related website data at home and abroad, and reasonably set visual display of 3 cockpit such as visual analysis of certain agricultural conditions, collaborative analysis of agricultural natural resources and agricultural industrial structures, statistics of service conditions of certain science and technology special groups and the like according to actual requirements, so that chart analysis is used as website access crowd, a convenient and visual display interface is provided, and good interaction of data and people, machines and people and data and machines is provided. The knowledge service can automatically capture, sort and update data, news information and academic trends of government agencies involved in agriculture, industry associations and the like, can provide multiple subfunctions of headline trends, policy interpretation, data services, industry trends, full industry chain technical services and the like, can provide the latest trends of production, sale and processing links for rice and navel orange producers and sellers, and can provide academic frontier research trends and related data query and use for expert and scholars engaged in rice, navel oranges, industrial economy and agricultural economy. The data sharing can provide the functions of inquiring, screening, downloading and the like of 'three agricultural crops' data information unique to member institutions (provincial agricultural scientific research institutions and prefectural agricultural scientific research institutions) of certain provincial agricultural scientific and technological innovation alliance, and the current data mainly comprise a certain soil fertility database, an asparagus SSR gene database, Yihuang meteorological data and the like.
The application module of the intelligent agricultural monitoring platform comprises a management center of a certain city base, a rice breeding center of a certain city and the like. The cloud bases of the two agricultural fields can realize independent local monitoring of the land (paddy field, tea garden, water surface, dry land, wasteland and greenhouse), the house (worker dormitory, production and processing workshop, breeding center and improvement center) and the equipment (sensor and camera), can realize on-site viewing and network live broadcast of the two base fields through the high-definition camera and the sensor, and realize the functions of agricultural planting, production, traceability and the like by depending on technical equipment.
The application module of the basic-level agricultural technology promotion informatization service platform has the functions of data interaction and information push of the terminal agricultural technology cloud App, authentication and management of basic-level agricultural technology promotion and the like.
Compared with the related technology, the modern agricultural scientific and technological service cloud platform provided by the invention has the following beneficial effects:
the invention provides a modern agricultural scientific and technological service cloud platform, which is supported by big data and cloud computing, effectively integrates various agricultural scientific research information resources, builds an agricultural scientific and technological innovation data sharing service platform integrating functions of agricultural scientific research, agricultural information, intelligent agriculture, agricultural technical service and the like on the basis of the big data, and lays a solid foundation for developing a strategic and basic data support platform of the intelligent agriculture in the future.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by the present specification, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A modern agriculture science and technology service cloud platform, comprising:
a technical architecture, the technical architecture comprising:
the data acquisition module is used for acquiring related data;
the data integration module is used for organically integrating the data acquired by the data acquisition module, which have different sources, formats and characteristic properties;
the data storage module is used for storing different data by adopting a proper data storage scheme;
the data calculation module is used for analyzing, calculating and processing data;
the data management module is used for deployment, operation and maintenance of the system;
the application module is used for providing data analysis and mining, data visualization, data report forms, intelligent report generation and report coordination functions;
an IT framework comprising: an infrastructure virtualization layer, a virtualization management platform, and a local shared storage system.
A security architecture, said security architecture comprising: the system comprises a firewall system, an intrusion detection system, a vulnerability scanning tool, a virus protection system, an identity authentication and authority management system, an access control system and a security audit system.
An application functionality architecture, the application functionality architecture comprising: the system comprises an application module of a certain agricultural science data sharing platform, an application module of a certain intelligent agricultural monitoring platform and an application module of a certain basic-level agricultural technology promotion informatization service platform.
2. The modern agricultural science and technology service cloud platform of claim 1, wherein the data collection module collects data from a source comprising a data center.
3. The cloud platform of modern agricultural science and technology services of claim 1, wherein the data acquisition module comprises a data cleaning module, and the data cleaning module is used for detecting and eliminating errors or inconsistencies in the data set so as to improve the quality of the data, gathering the data through gathering, statistics and the like, and then cleaning, processing and importing the data to be finally imported into a data warehouse.
4. The modern agricultural science and technology service cloud platform of claim 1, wherein the data integration module converts structured data into a data warehouse through a traditional button or etl tool, the streaming real-time data is collected and calculated in real time by adopting a kafka and storm framework, data exchange and docking of other platforms are interacted by adopting an oai open data access interface, and a data conversion and cleaning process is designed by a visualized data processing process through an enahdra system.
5. The modern agricultural science and technology service cloud platform of claim 1, wherein the data storage module is used for storing the strongly structured data in a clustered manner by using mycat plus mysql; data with large column changes are stored by a column database hbase, text type structured data are stored by hives, unstructured full-text indexes are stored by a full-text database kbase system, fragmented files of small files are stored by an HFS (high frequency distributed file system), and large blocks of unstructured text data are stored by a hadoop hdfs system.
6. The modern agricultural science and technology service cloud platform of claim 1, wherein the data computing module is based on a mainstream big data platform framework hadoop, performs batch computing based on mapreduce and spark, performs streaming computing based on storm, and supports second-level real-time interactive query analysis (OLAP).
7. The cloud platform of modern agricultural science and technology services according to claim 1, wherein the data management module employs docker to achieve rapid flexible deployment, and combines Ambari and Open-falcon technologies to dynamically adjust computing resource deployment according to computing scale.
8. The cloud platform of modern agricultural science and technology services of claim 1 wherein the application modules comprise a big data knowledge service platform, a big data analysis platform and a big data intelligent reporting and collaboration platform, providing data analysis mining, data visualization, data reporting, intelligent report generation and report collaboration functions.
9. The modern agricultural science and technology service cloud platform of claim 1, wherein the local shared storage system is an FC SAN, and the servers are connected to a fiber switch to store data.
10. The cloud platform of modern agricultural science and technology services of claim 1 wherein the security architecture comprises a firewall system, an intrusion detection system, a vulnerability scanning tool, a virus protection system, an identity authentication and rights management system, an access control system and a security audit system;
the main function of the firewall system is to scan the network communication passing through the firewall system, filter the external malicious attacks, viruses and unauthorized accesses and prevent the external malicious attacks, viruses and unauthorized accesses from entering the firewall system;
the intrusion detection system is used for analyzing and tracking external accesses, checking the use conditions of the accesses to system resources and services, and giving an alarm in time once poor accesses are found;
the vulnerability scanning tool regularly scans each open service port and use condition in the system according to a set task plan so as to discover vulnerabilities possibly existing in the system;
the virus protection system is used for preventing software viruses and preventing the viruses from entering the system;
the functions of authentication of user qualification, authorization of resource service, encryption and decryption of network data and the like are realized through identity authentication and authority management;
the access control system is used for auditing the request and the access of the user according to the identity authentication of the user and the authorization condition of resources, and ensuring that all the accesses are within a limited range;
the security audit is used for carrying out security audit on the service condition of the system according to the service log and the network data stream, and discovering bad access and security holes in the system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110051175.5A CN112783897A (en) | 2021-01-14 | 2021-01-14 | Modern agriculture science and technology service cloud platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110051175.5A CN112783897A (en) | 2021-01-14 | 2021-01-14 | Modern agriculture science and technology service cloud platform |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112783897A true CN112783897A (en) | 2021-05-11 |
Family
ID=75756766
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110051175.5A Pending CN112783897A (en) | 2021-01-14 | 2021-01-14 | Modern agriculture science and technology service cloud platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112783897A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023004881A1 (en) * | 2021-07-28 | 2023-02-02 | 深圳市爱云信息科技有限公司 | Smart agriculture aiot distributed big data storage platform |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104820946A (en) * | 2015-02-05 | 2015-08-05 | 宁夏赛恩科技集团股份有限公司 | Cloud computing system for agricultural information integration |
| CN105389766A (en) * | 2015-12-17 | 2016-03-09 | 北京中科云集科技有限公司 | Smart city management method and system based on cloud platform |
| CN107506393A (en) * | 2017-07-28 | 2017-12-22 | 农业部农药检定所 | A kind of agriculture big data model and its in application agriculturally |
| CN109190894A (en) * | 2018-07-31 | 2019-01-11 | 深圳春沐源控股有限公司 | Agriculture monitoring and managing method and system, terminal, storage medium based on intelligent platform |
| CN109726848A (en) * | 2018-11-20 | 2019-05-07 | 江苏智途科技股份有限公司 | A kind of wisdom agricultural big data service platform |
-
2021
- 2021-01-14 CN CN202110051175.5A patent/CN112783897A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104820946A (en) * | 2015-02-05 | 2015-08-05 | 宁夏赛恩科技集团股份有限公司 | Cloud computing system for agricultural information integration |
| CN105389766A (en) * | 2015-12-17 | 2016-03-09 | 北京中科云集科技有限公司 | Smart city management method and system based on cloud platform |
| CN107506393A (en) * | 2017-07-28 | 2017-12-22 | 农业部农药检定所 | A kind of agriculture big data model and its in application agriculturally |
| CN109190894A (en) * | 2018-07-31 | 2019-01-11 | 深圳春沐源控股有限公司 | Agriculture monitoring and managing method and system, terminal, storage medium based on intelligent platform |
| CN109726848A (en) * | 2018-11-20 | 2019-05-07 | 江苏智途科技股份有限公司 | A kind of wisdom agricultural big data service platform |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023004881A1 (en) * | 2021-07-28 | 2023-02-02 | 深圳市爱云信息科技有限公司 | Smart agriculture aiot distributed big data storage platform |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104618343B (en) | A kind of method and system of the website threat detection based on real-time logs | |
| Sekaran et al. | Smart agriculture management system using internet of things | |
| Gao | Analysis of enterprise financial accounting information management from the perspective of big data | |
| CN106651633B (en) | Power utilization information acquisition system based on big data technology and acquisition method thereof | |
| CN103118036A (en) | Cloud end based intelligent security protection system and method | |
| Ali et al. | IoT and blockchain based smart agriculture monitoring and intelligence security system | |
| CN106254476A (en) | Agroecological environment information management based on Internet of Things, big data and cloud computing and monitoring method and system | |
| CN107403005A (en) | A kind of web publishing method and device | |
| CN111930886A (en) | Log processing method, system, storage medium and computer equipment | |
| CN104820946A (en) | Cloud computing system for agricultural information integration | |
| Wang et al. | A centralized HIDS framework for private cloud | |
| Khan et al. | An Investigation into the Challenges and Opportunities Associated with the Application of Internet of Things (IoT) in the Agricultural Sector-A Review. | |
| CN112783897A (en) | Modern agriculture science and technology service cloud platform | |
| CN111986042A (en) | Agricultural big data service system constructed based on internet technology | |
| Mitra et al. | Smart Agriculture–Demystified | |
| Yan et al. | Cyber security detection and monitoring at IHEP private cloud for web services | |
| Sawarka et al. | IoT Forensic Cyber Activities Detection and Prevention with Automated Machine Learning Model | |
| CN112769755A (en) | DNS log statistical feature extraction method for threat detection | |
| Jin et al. | An adaptive analysis framework for correlating cyber-security-related data | |
| Bi et al. | The architecture design for big data application system in apple industry | |
| Yang et al. | [Retracted] Computer User Behavior Anomaly Detection Based on K‐Means Algorithm | |
| Fang et al. | Research on computer information processing technology in the “big data” era | |
| Tang et al. | Application Research on Quality Improvement of Agricultural Industry Chain Based on Blockchain Technology | |
| Li | Analysis of Computer Network Information Based on" Big Data" | |
| Raveena et al. | Secure b-iot based smart agriculture–a brief review |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210511 |
|
| RJ01 | Rejection of invention patent application after publication |