摘要
介绍了数据融合技术、自适应加权算法和D-S证据理论算法的原理,采用自适应加权算法和证据理论算法相结合的方法,提出了一种适用于环境监测的多传感器体系结构和二级融合模型,通过对饲养场室内多种传感器采集的数据信息进行融合,分析环境的变化,克服了对每个传感器采集的信息分别处理时的不确定性和不稳定性。试验结果表明,该方法提高了环境监测的准确度。
Introduced the principles of data fusion,self-adaptive weighting algorithm and D-S evidential reasoning algorithm,a method which combines self-adaptive weighting algorithm with D-S evidential reasoning algorithm is used.A distributed multi-sensor architecture and two-level fusion model for environment monitoring is presented.By fusing the data from different sensors in the house of raising,analyzed environmental change.This method overcomes uncertainty and instability from single-sensor.The result indicates that this method improves the accuracy of the detection of environment.
出处
《中国农机化》
北大核心
2011年第4期110-113,118,共5页
Chinese Agricul Tural Mechanization
关键词
数据融合
环境监测
自适应加权算法
D-S证据理论算法
data fusion
monitoring environment
self-adaptive weighting algorithm
D-S evidential reasoning algorithm
