| 数据融合技术在环境监测中的应用 |
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| 引用本文： | 李恒灿,李权才. 数据融合技术在环境监测中的应用[J]. 中国农机化, 2011, 0(4). DOI: 10.3969/j.issn.1006-7205.2011.04.028 |
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| 作者姓名： | 李恒灿 李权才 |
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| 作者单位： | 华北水利水电学院,河南,郑州,450011 |
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| 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。
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| 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 |
Application of Data Fusion in Monitoring Environment |
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| LI Heng-can,LI Quan-cai. Application of Data Fusion in Monitoring Environment[J]. Chinese Agricul Tural Mechanization, 2011, 0(4). DOI: 10.3969/j.issn.1006-7205.2011.04.028 |
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| Authors: | LI Heng-can LI Quan-cai |
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| Affiliation: | LI Heng-can,LI Quan-cai(School of Mechanical Engineering,North China University of Water Resources and Electric Power,Zhengzhou,450011,China) |
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| Abstract: | 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... |
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| Keywords: | data fusion monitoring environment self-adaptive weighting algorithm D-S evidential reasoning algorithm |
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