基于关联数据融合的地表移动传感器节点

Surface movement sensor node based on associated data fusion

开发了具有多个相关联传感器的地表移动传感器节点;提出一种基于专家系统进行关联数据处理的几何方格面积数据融合方法,即主要采用软硬件结合的方式,利用专家系统预设的节点环境阈值与传感器实际感测的数据相结合进行关联数据处理,将数据关系转化为几何方格面积,从而实现分类分层次的数据融合.结果表明:该方法能够对多个不同类型传感器提供的相同特征数据、互补特征数据、并行特征数据、条件关联数据进行融合;与传统传感器节点相比,地表移动传感器节点感测信息的准确率更高,能量消耗更低.

Surface movement sensor nodes which had some interrelated sensor were developed,and the data fusion method of geometric grid area by using expert system to dispose associated data was presented,which mainly combined the node environment threshold defaulted by the expert system with the actual data sensed by the sensor to dispose associated data,and made the data changed into geometric grid area,so as to fuse in classification via hardware and software.The result showed the method could fuse same feature data,complementary feature data,parallel feature data,which were provided by different types of sensors.Compared with traditional sensor node,the accuracy of sense information of surface movement sensor node was improved and the energy consumption reduced.