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The Design Of Automatic Aquaculture Boat With Remote Real-time Intelligent Monitor System

Posted on:2020-01-05Degree:MasterType:Thesis
Country:ChinaCandidate:T T ShiFull Text:PDF
GTID:2393330596496907Subject:Agricultural Electrification and Automation
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In recent years,there have been more and more places to raise river crabs.River crab farming has become one of the most important pillar industries in China’s fishery production.However,at present,the pond crab culture in China is mainly based on the artificial feeding method by poling boats.This kind of method costs large intensity of labor with uneven feeding area.But also has led to problems such as low level of management of river crab culture and high breeding cost.With the development of automation technology,the use of automatic aquaculture boats will be the development direction instead of manual feeding operations.In view of the above situation,this paper designed a remote real-time intelligent monitoring system for fully automatic aquaculture boats under the support of the Jiangsu Provincial Key Research and Development(Modern Agriculture)Project(BE2017331).The system monitors the working conditions of aquaculture boats and working path in real time.It improves the efficiency and safety performance of river crab breeding by using the operation terminal for remote control and trajectory planning,and timely alarm when the system is in bad condition.The system mainly includes three parts: remote server system,user mobile client and ship-borne client.The shipborne client collects working condition and position information of the aquaculture boats.The mobile phone client displays the working condition parameters and the real-time path of the breeding boat.Simultaneously,it sends remote control commands to the working terminal,and alerts the abnormal situation.The main research contents of this paper are as follows:Firstly,based on the analysis of the research status of unmanned ship and remote monitoring system at home and abroad,combined with the analysis of the functional requirements of the whole system,this paper proposed the overall design scheme of the system and provided the structural composition of the remote real-time intelligent monitoring system.At the same time,the operating principle of the system is expounded,and the GPS positioning technology,Android system and TCP network communication technology involved in the system development process are also introduced.Secondly,the trajectory planning method of aquaculture vessels was designed.This paper expounded the research ideas of trajectory planning method,introduced the principle of transforming latitude and longitude coordinates into plane coordinates and the construction method of working area plane model.The realization process of remote trajectory planning method is given,and the algorithm is verified by simulation experiment and data analysis.It proves that the method can be applied to both trajectory planning of regular areas and trajectory planning of irregular areas,which is universal.Next,the remote real-time intelligent monitoring system software of the aquaculture boats was designed.Under the Eclipse platform,the server software was developed by using Socket and multi-threading technology to realize data communication and data storage.The mobile client software was developed under the Android Studio platform to realize remote parameter monitoring and real-time path tracking.The mechanism for collecting data and the mechanism for uploading updated data are designed to ensure the validity of the trajectory planning parameters.Finally,under the premise of ensuring that the hardware function module can meet the system requirements,the joint test of the entire remote monitoring system is carried out.The remote monitoring effect of the mobile phone client software on the aquaculture boats is especially tested.The result showed that the system can remotely monitor and control fully automatic aquaculture boats real-time and effectively.
Keywords/Search Tags:aquaculture, automatic control, trajectory planning, remote monitoring
PDF Full Text Request
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