摘要
尾矿库存在的电离辐射使得各传感器的可靠度估计困难和数据融合结果精度较低。建立一个广义的数据融合模型,提出F-Bayes（F-统计量-Bayes理论）融合方法,通过采用模糊聚类分析对标准化处理后的数据分类,然后用F-统计量确定最佳分类阈值以获得传感数据融合集,改进传统方法中依据经验或请专家确定置信矩阵阈值的办法,最终融合结果偏差值降低到0.0002。
To solve the problem that ionizing radiation making it difficult in estimating sensors＇ reliability and Low-resolution data fusion in radioactive tailing dam,the author has built a generalized data fusion model and proposed F-Bayes（F-statistic-Bayes theory） method,used fuzzy cluster analysis classifying the data that is standardized processing,F-statistic to determine the optimal threshold value for sensor fusion set,and has improved the traditional method based on experience or experts to determine the threshold value of confidence matrix,the measurement deviation has reduced to 0.000 2.
出处
《中国教育技术装备》
2011年第33期120-122,共3页
China Educational Technology & Equipment
基金
四川省教育厅资助科研项目“民用核设施远程在线监测系统研究”(项目编号:10ZC111)研究成果之一
