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Research On Photovoltaic Monitoring System Based On Wireless Communication And Android Mobile Application

Posted on:2018-05-26Degree:MasterType:Thesis
Country:ChinaCandidate:P GongFull Text:PDF
GTID:2322330536478052Subject:Engineering
Abstract/Summary:PDF Full Text Request
The photovoltaic monitoring system can realize the coordinated management of the photovoltaic equipment,the improvement of power generation efficiency,the evaluation of the photovoltaic equipment and the improvement of operation efficiency,achieving the goal of maximum efficiency.The photovoltaic monitoring system based on the wireless communication and the mobile phone was designed by combining the conventional photovoltaic monitoring system,the internet of things and the mobile phone.The wireless communication of the WiFi and the ZigBee,the server,the cloud database technology,the development software of the Android Studio and the Eclipse,the language of Java were used to complete a real-time photovoltaic monitoring system.The system solved the problem of obtaining information in the past,and it was more suitable for the needs of the PV markets.This thesis was consisted of three parts: the wireless communication technology,the prediction analysis and the photovoltaic monitoring platform.Firstly,the background and significance of the research were introduced,followed by the research status of the PV monitoring system at home and abroad,finally the key technical problems of this system was put forward.In the part of the wireless communication technology,the WiFi232 module and the F8913 D ZigBee module were used to achieve the wireless communication for actual demands.The network,the WiFi232 hardware circuit design and the software were completed;the hardware circuit of the ZigBee module was designed,then the ZigBee2007 protocol stack was researched and the ZigBee communication network were established.In the part of the photovoltaic power generation prediction,the PV power support vector machine prediction algorithm was analyzed and the support vector machine was completed in MATLAB.The prediction model of the photovoltaic power generation was built which based on the support vector machine.Combined with the laboratory historical data,the prediction of the PV power generation was established by using LIBSVM tools.In the part of the PV monitoring platform,the server,the cloud database and the mobile client were completed.The server program was compiled by using the Eclipse software,the cloud database was completed by using the Bmob network database.The Android monitoring system was developed by using the language of Java and the software of the Android Studio.Photovoltaic monitoring platform had the real-time monitoring,the data query,the graphics display and others functions with the advantages of intuitive,visualization,user-friendly.The experimental platform was built to test the wireless communication,the forecast module and the monitoring platform systematically.The test results showed that the system obtained the expected results,the wireless communication module can completed the data transmission accurately,the support vector machine PV prediction error was about 15%,the monitoring platform had the functions of the real-time monitoring,the data query,the graphics rendering and so on.The developed photovoltaic monitoring system which integrated the wireless communication,the server,the cloud database and the mobile client,conformed to the development direction of the photovoltaic monitoring system.It has great application value.
Keywords/Search Tags:photovoltaic monitoring, the wireless communication, support vector machine, the server, the Android client
PDF Full Text Request
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