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Design And Implementation Of Property Management System Based On .NET

Posted on:2019-06-03Degree:MasterType:Thesis
Country:ChinaCandidate:Z WangFull Text:PDF
GTID:2428330593450377Subject:Software engineering
Abstract/Summary:PDF Full Text Request
Under the drive of national economic growth,people has higher requirement for the quality of life,especially the community we live in.Whether our life quality good or bad is inseparable from service quality of property and management efficiency.Residential property management business is huge.And the traditional way of management work such as listing,repair form,maintenance bill and so on needs to be artificial completed,which brings huge pressure to managers also inconvenience to find,update and maintain all kinds of information.Thus to meet the needs of social development,the traditional way of property management should be changed.Modern management technology can not only complete the property management automation,but also improve the management efficiency and service standards.Proceeding from present situation of the residential area property management in Harbin Songbei,the intelligent residential property management system is put forward based on careful and detailed analysis of user requirement.Each functional module of this system is designed and implemented throughC/S and B/S architecture model as basement,Visual Studio 2010 as development platform and combination with ASP.NET technology,which includes district management module,estate management module,equipment management module,property management module,parking fees management module,management module,user management module,system management module.With perfect function,this property management system meets user requirements and system design goal,which brings the community property management efficiency,informatization,scientification and standardization.And By the Clustering method to simulate the prediction model of the data mining technology,the introduction of a series of consumer behavior factors for the users,and Kohonen neural network clustering algorithm,It Predicted that user malicious owe default,and then avoiding the users malicious owe default.It is believed that application of this system will effectively improve the efficiency of community property management staff and the service standard of owner.
Keywords/Search Tags:Property Management System, ASP.NET Technology, B/S Model, Data Mining
PDF Full Text Request
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