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Data Processing Platform And Visual Design And Implement Of Participatory Sensing Platform

Posted on:2017-04-04Degree:MasterType:Thesis
Country:ChinaCandidate:T T YangFull Text:PDF
GTID:2428330518993444Subject:Computer Science and Technology
Abstract/Summary:PDF Full Text Request
With the increasing popularity of smart phones,almost everyone has smartphone equipped with various types of sensors,which can collect amount of sensory data.While wireless sensor data has far-reaching significance for people to pay more attention to public problems such as atmospheric quality(PM2.5,noise,etc).People and the phones equipped with sensors are involved in the core of perception,The handling and displaying the mass data are the key points for this platform.With the application of the platform,the types and quality of data are more and more.Through the data visualization technology that uses Graphical method in the platform,this platform has a great advantage in respect of collecting processing and commuting information.In this thesis,based on the background of Participatory sensing platform and related technologies of data visualization,a Web-side data visualization system based on Participatory sensing platform is designed and implemented.Which contains the client,server and Web display side,the platform is mainly based on the data collected by the mobile phone client,data-processingdose the data processing.First,this thesis introduced the Participatory sensing platform background and related Web-side data visualization techniques briefly;After that the architecture of mobile collaborative sensing platform is designed,on the basis of that the requirement analysis and system design of data visualization system is made;Next,detailed design and implementation of each sub-module are depicted in detail,including Web front-end data visualization module and server-side data processing module;Then the whole system functional tests show visualization system to achieve the desired design goals;and finally,the summary the whole work,the inadequate and the future work of this thesis are briefly described,and the summary all of the work and achievements of author during the graduate students are given.
Keywords/Search Tags:Participatory sensing platform, data visualization, data processing, point of Interest
PDF Full Text Request
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