基于云计算的农田规划区域信息采集系统设计

Design on the Farmland Planning Area Information Collection System Based on Cloud Computing

为进一步提高我国农田规划信息获取的实时性与准确性,结合当前数据分析功能强大的云计算技术,对农田规划区域信息采集系统进行了设计。通过理解农田规划的布局设计特征,建立区域信息采集系统的数据控制框架与理论结构模型,对采集系统的软件控制流程与硬件设施配置逐步选型优化,得到较为完善的农田规划区域信息采集系统。基于云计算设计理念输入不同的农田周边环境变化数据进行模拟试验,结果表明:与传统的信息采集方法相比,云计算环境下的区域信息采集系统准确率可由91.8%提升到96.3%,且平均准确率可提升3.9%左右,验证了该采集系统设计的可行性。

In order to further improve the real-time and accuracy of farmland planning information acquisition in China,combined with the powerful cloud computing technology of current data analysis,the farmland planning area information acquisition system was designed and analyzed.Through understanding the layout design characteristics of farmland architecture,the data control framework and theoretical structure model of the regional information collection system were established.The software control flow and hardware configuration of the collection system were optimized step by step,and a relatively perfect area information collection system of farmland planning area architecture was obtained.Based on the concept of cloud computing design,the simulation experiments were carried out by inputting different environmental change data around gardens.The results showed that the accuracy of regional information acquisition system in cloud computing environment could be improved from 91.8%to 96.3%,and the average accuracy could also be increased by about 3.9%.It verified the feasibility of the design of the collection system,and get the picture display of the farmland planning area information collection system based on cloud computing,which would provide convenience for the visual management of farmland planning and also would be some promotion value.