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Design And Implementation Of Digital City Management System Based On Crowd-sensing

Posted on:2017-06-18Degree:MasterType:Thesis
Country:ChinaCandidate:K J ShenFull Text:PDF
GTID:2348330512456363Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Digital city management mainly refers to the 10000 meter unit grid method and city parts management method,realize the accurate positioning of city spatial management and refinement of management objects,create a city management supervision center and command center two axis of the city management system,management process reengineering,so as to achieve accurate,agile,efficient,full time the city,covering the full range of management mode.The implementation of the grid digital city of the fine management mode in the active discovery has outstanding advantages,establish collaborative work mechanism,compartmentalized integration management resources etc.To actively mobilize and encourage the masses of people to participate in the management of the city,Suzhou City Management Committee Office launched the "city people" APP,enhance convenience masses of people to participate in city management.This launched the public participation,to a large number of users to participate as the foundation,the wisdom of the people to use up,known as the swarm intelligence.In group intelligence,participants who complete complex tasks do not need to have professional skills.In contrast,a large number of grassroots users can become the backbone,through a reasonable collaboration to complete their individual cannot or simply cannot think of the completion of the task.At the same time,the data analysis of the data of all the sources in the "digital city management" system is carried out.The main research contents of this paper include:(1)The functional requirements of digital city management system based on crowdsensing;(2)The design of "digital city management" system based on crowd-sensing;(3)The implementation of the main modules of digital city management system based on crowd-sensing.
Keywords/Search Tags:City management, Digital city management, Crowd-sensing, Data analysis
PDF Full Text Request
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