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Research And Development Of The Cloud Platform For Smart Disease Management

Posted on:2020-03-16Degree:MasterType:Thesis
Country:ChinaCandidate:K X LiuFull Text:PDF
GTID:2433330590485506Subject:Signal and Information Processing
Abstract/Summary:PDF Full Text Request
The basis of rational development of forestry resources is the resources management about diseased wood.The cloud platform of intelligent diseased wood management was built in order to manage effectively Qingdao forestry resources data as well as recording trees diseased.The platform using RFID(Radio Frequency Identification)technology for data tag,and will make all kinds of forestry data collected visualization,which provide a scientific and convenient auxiliary decision-making for the diseased wood management.In another,the system will statistics the workload of staff and work record,as well as making permission management system for the research department,so as to provide the support that based on platform of digital and visualization for company's internal management.A storage data structure was created specifically based on the storage business requirements,and an additional big data storage system was made to store diversified forestry data,and some log data were processed by streaming calculation.In addition,the paper introduces the main modules in the late stage micro service extension platform to improve the functions of the platform in an all-round way.At last,the whole function flow of the platform have been tested.This diseased wood management cloud platform is a successful online project and mainly solves the three problems of epidemic wood data collection,epidemic wood visual management and epidemic wood data processing.The work of this paper is mainly in the following aspects:(1)Researching a single application according to the needs of the cloud platform.The mobile terminal interface developed by using SpringBoot framework.The background management was build by using SpringMVC framework combined with MyBaits interacting data.At the same time,web page is displayed with JSP(Java Server Page).Finally deploying and testing the application.The function of single application is fully realized,which is the basis of all subsequent development and research.(2)For the data storage structure required by the cloud platform,a new data structure Bucket is designed,HBase and SpringBoot are adopted for the research and development of the storage system.After that,the designed log file was collected by Flume.Kafka was used as the message middleware,and SparkStreaming was integrated for data cleaning and warehouse processing.Finally building and testing the application which was deployed in online environment.(3)Individual applications are extended to micro-services based on SpringCloud technology.This paper mainly introduces Eureka registration service,Hystrix fuse mechanism,gateway service,unified configuration service,and finally,docker container for the service was designed.To sum up,the entire cloud platform of intelligent diseased woods management toadopt the web application technology,big data processing technology,micro service technology and other mainstream internet technology in advances with the times,which combines the current actual business needs just for designing and implementing this platform efficiently and expansively,so as to finally meet the needs related to forestry management.
Keywords/Search Tags:Diseased wood, Forestry resources, Cloud platform, Big data, Radio frequency
PDF Full Text Request
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