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Research And Design Of Power Consumption Analysis Platform Based On Android

Posted on:2018-02-27Degree:MasterType:Thesis
Country:ChinaCandidate:B HeFull Text:PDF
GTID:2348330542461635Subject:Control Science and Engineering
Abstract/Summary:PDF Full Text Request
The research topic of this thesis came from the intelligent electricity interactive service system built by the institute of intelligent instruments of Hunan University and the Xinjiang Power Grid Company.This thesis designed the main station of statistical analysis platform which is based on the interactive service system for smart power consumption.At the same time,this thesis designed the Android-based electricity statistical analysis App which is based on the main station of statistical analysis platform.The network communication data between the master station and the App is encrypted.They built the statistical analysis platform.The specific research contents of this thesis are as follows:Firstly,this thesis described the research status quo of electricity statistics and data encryption in abroad and at home.Through the analysis of research,I sorted out the idea of electricity consumption statistics.This thesis refered to a large number of domestic and foreign scholars on the data encryption research content which provided the direction of the follow-up study about the encryption algorithm of power consumption data.Secondly,this thesis explored the data encryption algorithm between the electricity statistical analysis App and the master station of statistical analysis platform.This thesis analyzed the basic principles of AES encryption alg,orithm based on understanding the mathematical knowledge of data encryption algorithm.Considering that the AES encryption algorithms need to be cembedded into Android applications,this thesis optimized the AES encryption algorithm combined with the characteristics of multi-core processors.In the end,the simulation results verified the effectiveness of the algorithm.Then,this thesis designed the master station of statistical analysis platform combined with the intelligent electricity interactive service system.The database model in the master station was designed to persist the user's electricity consumption data.The electricity datas which was send from the master station of statistical analysis platform to the electricity statistical analysis App was encrypted in order to ensure the data security.Finally,this thesis designed the Android-based electricity statistical analysis App combined with the master station of statistical analysis platform.At the same time,the electricity statistical analysis App had a deep optimization with the technology of Android performance optimization.The user's name and password which was send from the electricity statistical analysis App to the master station of statistical analysis platform was encrypted in order to ensure the data security.This thesis implemented the interaction of user electricity consumption data between the electricity statistical analysis App and the master station of statistical analysis platform so that the users could obtain the electricity consumption information at anytime and anywhere.The network communication data was encrypted between the electricity statistical analysis App and the master station of statistical analysis platform in order to ensure the data security.
Keywords/Search Tags:Smart power consumption, Electricity statistics, Data encryption, Multi-core processor, AES, Android
PDF Full Text Request
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