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Design And Implementation Of Intelligent Greenhouse Environment Remote Control System Based On Android

Posted on:2020-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:J LiuFull Text:PDF
GTID:2393330626956935Subject:Software engineering
Abstract/Summary:PDF Full Text Request
With the development of Internet of Things technology and agricultural informatization,greenhouse has gradually replaced greenhouse as the mainstream mode of agricultural production.The traditional greenhouse system improves crop yield by controlling a certain temperature,but this way is relatively single,and the environmental control inside the greenhouse is not comprehensive enough.Because crop growth is also affected by light,carbon dioxide concentration,water quality and other environmental factors,intelligent greenhouse system is gradually rising,although it can achieve more accurate environmental control,but the high cost and high requirements of technical equipment operation make countless farmers look on.Deter.Based on the above considerations,this paper clearly analyses the coverage of the whole intelligent greenhouse and the specific content of the environmental detection work in China.On the basis of the information needs and business needs,it puts forward specific requirements for the construction of the intelligent greenhouse.Through the research and application of the Internet of Things technology,this paper makes a detailed analysis of the construction of the intelligent greenhouse.Based on the analysis,the development idea of the intelligent greenhouse greenhouse environment remote control system based on Android is put forward.The existing agricultural equipment resources are fully utilized,and the software and hardware equipment and environment are rationally collocated.The intelligent greenhouse environment remote control system centered on farmers is formed to provide basic crop information management for farmers.Intelligent functions such as temperature and humidity regulation,illumination control,data graphics,weather and meteorological services,remote monitoring and early warning,etc.The system is mainly implemented by the current mainstream Android client.It combines ZigBee technology,fuzzy control algorithm,GPRS technology and other key technologies to design and implement the system functions,and builds the key technology structure of the Internet of Things.Secondly,in order to ensure that the testing work of the system can be carried out smoothly,in the standard environment configuration,select the functional modules of the system to carry out specific testing work,analyze the functional characteristics of the system and conduct centralized testing of the systemperformance,the actual test results are complete,can be put into use,and can be well served.It is necessary for farmers to carry out remote control of greenhouse environment.At present,the remote control system of intelligent greenhouse environment based on Android has been preliminarily developed,which basically achieves the expected goal of system research and development,and also meets the user's needs.The system runs stably and efficiently,and the technical scheme is reasonable in all aspects.In addition,this paper innovatively uses the basic theory of fuzzy control algorithm to specify the regulation of environmental factors in greenhouse greenhouse.On the basis of constructing the circuit environment of PLC automation control system and equipment selection,the whole regulation design and implementation process are explained concretely,which truly reflects the intelligence of greenhouse greenhouse system.Unified application.And through the wireless communication technology such as ZigBee and GPRS,the information docking with wireless sensor is realized,and the real-time control of monitoring data in greenhouse is effectively carried out,so as to promote the processing operation of remote control and realize the improvement of crop and yield.
Keywords/Search Tags:Android, greenhouse, remote communication, environmental factors, data collection
PDF Full Text Request
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