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Design And Implementation Of "internet+eco-station" Big Data Platform Based On Distributed Technology

Posted on:2021-03-15Degree:MasterType:Thesis
Country:ChinaCandidate:T Y XiaoFull Text:PDF
GTID:2381330611969722Subject:Engineering
Abstract/Summary:PDF Full Text Request
Forest Eco-station provides important data source for forest Eco-monitoring and forest ecosystem service function evaluation by long-term,positioning and continuous observation of hydrology,soil,meteorology,biological diversity and other ecological factors.In recent years,with the increasing number of Eco-station construction and the deepening of ecological monitoring work,the acquisition method of Eco-station collection data has gradually evolved from manual and semi-manual to full automatic collection based on the Internet of Things,resulting in a sharp increase in the amount of data.Existing data management methods based on spreadsheets or small single-user databases are difficult to meet the needs of the existing large amount of data;at the same time,the evaluation of ecosystem service functions needs to be based on multisite collaboration and joint analysis to achieve,which also brings storage management,fast query,data analysis,data visualization and abnormal communication of site data to a large amount of ecological data.A series of demand issues such as knowledge.In view of a series of demand problems in the construction and development of eco-stations,based on the relevant national standards for the construction of eco-stations,this paper puts forward a solution of "Internet+Eco-stations" large data platform based on distributed technology,big data technology and so on.The main research contents are as follows:Multi-station data fusion storage and management based on large data technology.Based on the support of data technologies such as My SQL and Redis,this paper studies the storage mechanism of multistation data fusion,designs a large data storage scheme,implements second-level data retrieval,and is competent for efficient data storage,efficient query and diverse analysis in the context of large data volume.Research on Distributed Architecture Based on Micro-Services.On the basis of distributed components such as Spring Cloud,this paper studies how to query ecological data efficiently through distributed technology and large data technology,and designs a distributed solution for ecological data storage and software development,which solves the problem of low utilization of ecological data.According to the requirements of the eco-station,this paper studies the system development scheme and completes the development of the "Internet + Eco-station" large data platform.The functions of fast data query,joint multi-station comparison,data diversity analysis and site anomaly notification are designed and implemented,which lays a foundation for the evaluation of ecosystem service functions and intelligently manages the data of ecological stations.At present,the system has been experimented on the basis of over 30 ecological stations,such as the Dagangshan National Forest Eco-station in Jiangxi Province and the air station of Zhejiang Academy of Forestry Sciences.The large data platform of "Internet + Eco-Station" integrates and manages the data of the Eco-station and realizes second-level query.The system has perfect functions and practicality to meet the actual needs of the eco-station.
Keywords/Search Tags:“Internet+”, Ecological monitoring, Distributed Systems, Data Management, Microservices
PDF Full Text Request
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