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Design And Development Of Data Sampling And Remote Monitoring System For Greenhouse Environment

Posted on:2019-03-26Degree:MasterType:Thesis
Country:ChinaCandidate:H B LuFull Text:PDF
GTID:2493306044473704Subject:Control Engineering
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Greenhouse is a typical application in the field of agriculture that adopts engineering techniques to create a good growing environment for crops,and assists farmers to improve the productivity of crops efficiently.With the expansion of agriculturae,the application of greenhouse in our country is more extensive[1,2,3].However,compared with the developed countries,the development of greenhouse in our country has many problems such as low technology,low mechanization and poor management.Therefore,it has a great significance to develop a new type of data sampling and remote monitoring system for greenhouse environment to help farmers manage the producting of greenhouses.The design develops terminal equipments for sampling greenhouse environment data using IOT technology,embedded technology and modern sensor technology,and sets up a server for collecting greenhouse environment data based on the Internet platform.At the same time,designing the management software and user software on the server realize the information communating between server and sampling terminals,users through HTTP.In addition,using the artificial neural network theory constructs the model of environment quality evaluating.Then,the process of data collecting and remote monitoring is completed,so as to realize the purpose of guiding agriculture producting.This thesis’s main work includes:(1)Design the structure of greenhouse environment data sampling and remote monitoring system,realize data sampling system and remote monitoring system.(2)Design data sampling system for collecting and transmiting greenhouse environment data by developing the hardware and the software.(3)Set up server to carry remote monitoring system,design management software and user software.(4)Construct the model of environment quality evaluating based on BP neural network,international assessment standards and the historical data of greenhouse environment.Finally,the functions of system are realized through designing and testing,which provids a practical tool for agricultural producting.
Keywords/Search Tags:Greenhouse Environment, Data Sampling, Remote Monitoring, BP Neural Network
PDF Full Text Request
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