Design And Implementation Of Intelligent Prevention And Control System For Grape Downy Mildew

Grape downy mildew is a specialized parasitic disease that poses a great threat to the production and development of high quality grapes.The occurrence and prevalence of grape downy mildew is closely related to environmental factors.In this thesis,an intelligent system is implemented,which could prevent and control the grape downy mildew based on ZigBeeGPRS and cloud platform.This system destroys the environmental conditions of lesions as an entry point,and aims to avoid the drawbacks caused by the traditional spraying of chemical pesticides.Through the acquisition nodes collect environmental data in the grape growing area,the integrated data is compared with the threshold value of grape downy mildew lesions to determine whether the control node is turned on or off to achieve intelligent prevention and control.Experts and managers could browse the underlying environment data,query historical data,and determine online lesion thresholds by logging in the remote monitoring center's client software.The main contents of this article include:(1)Through the on-site inspection of the Heyang Grape Experimental Demonstration Station of the Northwest Agriculture and Forestry University,and the analysis of the functional and non-functional requirements of the intelligent grape downy mildew prevention and control system,putting forward an overall design scheme by the modular design concept.(2)The design and implementation of the underlying ZigBee environment monitoring network.First,selects the ZigBee module,the underlying environmental network using the CC2530F256 with RFX2401 C RF front-end to increase the communication distance between each node,ZigBee Network is composed of acquisition node,routing node,control node and coordinator node,the Network's structure is a mesh topology;Second,the GPRS module is used as the data exchange medium that connects the ZigBee network which is only used to short-range communication to the remote monitoring center for data exchange.(3)Design and implementation of remote monitoring center.The design of the system remote monitoring center includes the implementation of socket communication between ZigBee network and cloud platform,the preparation of remote monitoring center software based on C/S architecture and data management of cloud platform.The system's cloud platform chooses Alibaba Cloud server platform to receive and store data information,and draws and draws E-R diagrams according to the system's requirements for database analysis,and establishes corresponding instance attribute information tables.Users log in to the client software for browsing data,querying historical data,and determining lesion thresholds and so on.(4)The system's test.First,functional tests are performed on important modules of each link of the system to ensure that all modules perform normal debugging and perform overall system test.The overall test mainly include: the performance of the system and the test of the remote monitoring software.The most important link is the system performance test.It mainly tests the system's communication quality,measurement accuracy and prevention and control effect.