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Research On Key Technologies Of Farming Management And Control Of UAV Of Plant Protection

Posted on:2020-09-17Degree:MasterType:Thesis
Country:ChinaCandidate:J LinFull Text:PDF
GTID:2393330590978637Subject:Integrated circuit engineering
Abstract/Summary:PDF Full Text Request
In recent years,UAV of agricultural plant protection has played a great important role in sprinkler irrigation,seeding,growth monitoring and other aspects of farmland task.UAV of plant protection has the characteristics of long-distance,fast,high accuracy,large quantity,low cost,etc.,so it is favored by the relevant industries of agricultural plant protection.The management and control of farming is important to the function of UAV of agricultural plant protection.Ground control station is the carrier of plant protection UAV operation control.Through ground control station management and control,positioning and navigation,intelligent operation,flight control and obstacle detection can be realized.Throughout the industry,there is a lack of a ground control station system that can truly meet the needs of plant protection UAV farming management and control.Therefore,this paper designs and develops a ground control station system software that can interact data between mobile and computer terminals and meet the needs of plant protection UAV.According to the requirement of positioning,navigation and maneuverability of plant protection UAV,this paper uses high-precision topographic map based on Baidu and Google,which is specially designed for precise map navigation and positioning of plant protection UAV farming.Aiming at the complex function of route planning of ground control station,the lack of tailor-made flight mode for plant protection UAV farming and the lack of feedback of operation data,this paper realizes the intelligent operation functions of automatic generation of plant protection UAV farming route,control of UAV flight mode and real-time farming monitoring.Aiming at the problem that the obstacle information feedback in front of the plant protection UAV can not be obtained in real time on the ground station at present,this paper proposes to use the multi-point depth sensor based on time of flight(TOF)to acquire the obstacle information.Because it is inefficient to use the ground control station to receive and process the obstacle data remotely,this paper proposes that combines with the sensor and the embedded raspberry linux system,to running a real-time and efficient spatial three-dimensional coordinate data processing algorithm to detect and extract obstacles,and the detection results are fed back to the ground control station to realize the function of obstacle information feedback.Finally,this paper carries out an experimental test on the above ground control station,and the results of the function test of the ground station meet the needs of the enterprise.The obstacle detection experiment uses above system to simulate the flight of the plant protection UAV for testing.The real-time and accurate results of the detection and extraction results are good,which can meet the research expansion of the obstacle avoidance algorithm of the plant protection UAV.
Keywords/Search Tags:plant protection UAV, ground control station, navigation, intelligent farming, obstacle detection
PDF Full Text Request
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