摘要
提出一种两级信息融合技术新思路。融合方法采用了时间域融合和空间域融合相结合,首先用Bayes估计理论对数据进行时间融合,第二级利用神经网络对空间数据做融合,从而作出对空气质量的综合评价。对这两级融合在煤矿监测系统上的应用进行了算法仿真,经仿真实验验证,此两级信息融合方法在煤矿监测系统中应用是可行的、有效的。
A new method of information fusion is presented, which combines time fusion and space fusion. Time fusion is realized by Bayes estimation theory. Spacial datas fusion is realized by the Neural Networks to realize integrated assessment of the coal mine＇ s air quality. Algorithm simulation is carried out on the two-step fusion applied in the coal mine monitoning system. The simulation result improved that the presented method is feasible and effective for coal mine monitoring system.
出处
《传感器与微系统》
CSCD
北大核心
2010年第7期124-126,130,共4页
Transducer and Microsystem Technologies
基金
国家自然科学基金资助项目(70572070)
辽宁省自然科学基金资助项目(2051206)
