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Research On Campus Intelligent Management System Based On Gray Theory

Posted on:2021-01-22Degree:MasterType:Thesis
Country:ChinaCandidate:C ZhangFull Text:PDF
GTID:2392330629952796Subject:Solid Earth Physics
Abstract/Summary:PDF Full Text Request
With the adjustment of national policies,it is urgent to save energy and accelerate the development of the clean energy.Colleges and universities are large energyconsuming households with concentrated personnel,so one of the effective ways to build a conserved campus is reducing the energy consumption of college buildings.As campus energy consumption data has the characteristics of large data volume,many data types,low value density,and fast processing speed,so how to effectively analyze it,extract valuable information,and serve practical problems is a technical difficulty.In view of the characteristics of campus energy consumption data,this thesis uses gray correlation analysis to establish a data analysis model for tasks such as detection,fault diagnosis and load prediction of campus energy monitoring network data,which extracts factors for campus energy consumption.Associated features to improve the accuracy and efficiency of data mining.The specific works are as follows:1.Theories of grey correlation analysis method are discussed,with which two effective inspection methods,the characteristics and modeling process of different models are analyzed in detail.Furthermore,the thesis provides theoretical basis for the analysis and modeling of energy consumption and evaluation.2.The thesis takes the power consumption of a campus in the northern cold region as an example.The gray system theory and linear regression theory are used to predict the energy consumption of student dormitories.It solves the problem of heavy workload in the conventional method,which is difficult to deal with various factors,non-linear relationships and other issues.3.Through development language and database,the campus power consumption management system is designed and developed.Which is used to realize the monitoring,dynamic analysis and prediction of campus energy consumption.Results show that the system is consistent with the expectation.Based on the system modeling and analysis,combined with the development goals of campus energy conservation and emission reduction,the campus electricity reform measurements are proposed to provide a theoretical basis for the energy conservation of public buildings.
Keywords/Search Tags:energy saving campus, gray theory, electrical consumption, intelligent system, prediction model
PDF Full Text Request
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