基于DTN算法的农用无人机信息检测处理系统设计  

Design of the Agricultural Unmanned Aerial Vehicle Information Detection and Processing System Based on DTN Algorithm

作　　者：陈兴威[1] Chen Xingwei(Jinhua Polytechnic,Jinhua 321007,China)

机构地区：[1]金华职业技术学院,浙江金华321007

出　　处：《农机化研究》2021年第12期213-218,共6页Journal of Agricultural Mechanization Research

基　　金：浙江省科技厅计划项目(2017C32083)。

摘　　要：为进一步实现农用无人机信息检测与数据处理的精准性,提高其智能化作业水平,结合DTN网络控制算法,针对其信息检测处理系统进行设计。以实现信息网络路由传递顺畅、性能高效为基点,考虑农用无人机作业低速低空特性,搭建DTN算法检测模型,进行基于DTN算法的农用无人机信息检测系统硬件结构配置与软件控制布局,并进行农用无人机作业飞行试验。结果表明:农用无人机的各姿态检测角误差与DTN算法应用前误差相差不大,验证了检测处理系统设计的可行性;将DTN算法应用到机载信息检测处理系统,具备较好的容错调节机制,其机载测量湿度与实际地面测量湿度相比平均误差为2.13%,整机作业过程信息传输与转换实时准确,可为类似农机装备的信息检测模块开发优化提供较好的参考。In order to further realize the accuracy of the agricultural unmanned aerial vehicle information detection and data processing and improve its intelligent operation level, the information detection and processing system was designed based on DTN network control algorithm.Based on the realization of smooth routing and efficient performance of information network, considering the low speed and low altitude characteristics of the agricultural unmanned aerial vehicle operation, DTN algorithm detection model was built, hardware structure configuration and software control layout of the agricultural unmanned aerial vehicle information detection system based on DTN algorithm were carried and then the agricultural unmanned aerial vehicle operation flight test was done which showed that the error of the pose detection angle of the agricultural unmanned aerial vehicle was almost the same as that before the application of DTN algorithm, which verified the feasibility of the design of the detection and processing system. When DTN algorithm was applied to the airborne information detection and processing system, which had a better fault-tolerant regulation mechanism. Compared with the actual ground measurement humidity, the average error of the airborne measurement humidity was 2.13%. The information transmission and conversion of the whole operation process showed real-time and accurate, and the test effects were good, which would provide a good reference for the development and optimization on the information detection module of similar agricultural machinery equipment.

关 键 词：农用无人机 信息检测 DTN算法 硬件配置 容错调节 

分 类 号：S252[农业科学—农业机械化工程]