The Implementation On Client And Research On Intelligent Drying Method Of In-store Safe Grain Storage System For Large-scale Farmer

Since the Third Plenary Session of the 18th Central Committee of the Communist Party of China,great changes have taken place in the Party’s policies towards rural areas.Rural land transfer is accelerated and gradually concentrated.Many farmers begin to transfer their land,and land management becomes more and more specialized.The implementation of these land transfer policies makes land more and more concentrated in the hands of large-scale farmer.Large-scale operation of large-scale farmer,with broad prospects for development,is gradually becoming the main agricultural production.However,due to the lack of scientific storage equipment and drying equipment,and the backward means of grain storage,large farmers often sell the grain in the form of "wet grain"after harvest to avoid storage losses,which greatly reduces the large-scale benefits.In view of the urgent concern for large-scale farmer’s storage,closely combining the actual usage scenarios of large farmers and grain storage safety requirements,based on the idea of "integrated design","In-store drying","measuring grain situation","steel grain storage technology"organic integration.The in-store safe grain storage system with flexible configuration is designed according to larger-scale farmer’s demand.The major research works of this thesis are organized as followings:(1)In response to the management concept of"Internet+food security",the CS system architecture of Client/Server is used to design the overall structure of the grain storage system for large-scale farmer according to their actual storage scenarios and daily usage requirements.On this basis,The server and Android client of in-store safe grain storage system are designed.The client consists of four core modules:the grain detection module,the ventilation control module,the data recording module and the user setting module,which realizes the intelligent and information management of granaries by large-scale farmer.(2)Analyzing the functional requirements of the system and the current grain storage situation of large-scale farmer was investigated in combination with the actual scenarios.The new granaries and related auxiliary facilities suitable for grain storage of large-scale farmers are determined.Based on the principle of low coupling,clear module hierarchy,easy maintenance and extension,MVC(model-view-controller)design pattern is applied to design and implement the Android client.On the basis of this,the network communication protocol and data interaction format between the server and the client are analyzed.The hypertext transfer protocol HTTPS(HTTP over SSL or TLS)is adopted between the client and the server as the network communication protocol to ensure the privacy and security of grain situation data of large-scale farmer.Protocol Buffer is adopted as the data interaction format between the two,which not only takes into account the cross-platform features,but also ensures the data transmission and parsing efficiency.(3)In the process of grain storage by large-scale farmer,the excessive moisture content in stored grain will directly threaten the overall security of stored grain.In order to solve this problem,the intelligent drying method for grain storage by large-scale farmer was studied,and information fusion of various heterogeneous data collected by large-scale farmer in the in-store safe grain storage system is carried out.Using RBF(radial basis function)neural network,D-S evidence theory,two methods of information fusion.The output of the RBF neural network as the basic probability assignment of D-S evidence theory,then use D-S evidence theory for information fusion.In this form of integration,it not only compensates for their own defects,but also improves the accuracy and effectiveness of decision-making.It provides reasonable and effective guidance for judging the safe state of stored grain and intelligent decision-making of drying methods.The in-store safe grain storage system of large-scale farmer designed in this thesis,the server and client are stable,the code structure is reasonable and clear,and it is also convenient to expand the follow-up functions and has been put into use in the field.