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Research And Analysis On The Early Warning Management System Of Key Population Level In Sanming City Public Security Bureau

Posted on:2017-04-11Degree:MasterType:Thesis
Country:ChinaCandidate:B DuFull Text:PDF
GTID:2278330488964232Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Key personnel in social comprehensive treatment work has a common characteristic, has potential harm to others or society, easy extremes, the negative social impact, even crime abyss.In order to timely find and stop the key personnel potential criminal possibility, better maintenance of social order, urgent need to develop a set of key personnel level warning control system.The from the perspective of the status quo of the research background, the significance of the project and the current focus of population level warning management system introduced key population level early warning management system, clear the main work and research contents;Business analysis of the chapter, the paper will make the definition of business issues, analysis of organizational functions, the definition of the relevant business personnel, the original business process re integration, obtained after the optimization of the business process.Functional analysis and data analysis section respectively determine the function of the system and the various functions of the system needs to process the data analysis.The overall function of the system is described by the analysis of the package diagram and sub function package. Including the key population information management, basic data management, focusing on population of intelligence gathering, judgment and analysis, early warning, helping education and management subsystem package diagram; data analysis part is the establishment of the database table structure, depicts the entity relationship diagram;Finally, the paper makes a summary of all the research and analysis work, and makes a preliminary outlook on the future work.
Keywords/Search Tags:Sanming City Public Security Bureau, key population management, grade warning, information system, UML model
PDF Full Text Request
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