模糊数据融合在多传感器环境监测中的应用

孙红鸽, 臧义, 曹毅, 阎馨

孙红鸽, 臧义, 曹毅, 阎馨. 模糊数据融合在多传感器环境监测中的应用[J]. 工矿自动化, 2009, 35(8): 22-24.
引用本文: 孙红鸽, 臧义, 曹毅, 阎馨. 模糊数据融合在多传感器环境监测中的应用[J]. 工矿自动化, 2009, 35(8): 22-24.
SUN Hong-ge~, ZANG Yi~, CAO Yi~, YAN Xin~. Application of Fuzzy Data Fusion in Multi-sensor Environment Monitoring[J]. Journal of Mine Automation, 2009, 35(8): 22-24.
Citation: SUN Hong-ge~, ZANG Yi~, CAO Yi~, YAN Xin~. Application of Fuzzy Data Fusion in Multi-sensor Environment Monitoring[J]. Journal of Mine Automation, 2009, 35(8): 22-24.

模糊数据融合在多传感器环境监测中的应用

基金项目: 

辽宁省教育厅科学技术研究项目(2008281)

详细信息
  • 中图分类号: TD712;TP274

Application of Fuzzy Data Fusion in Multi-sensor Environment Monitoring

  • 摘要: 文章提出了一种应用多传感器模糊数据融合技术的信息检测方法。该方法采用多传感器监测被测环境的温度、湿度和通风量等参量,将多个传感器所获取的多元信息模糊化后,经过融合中心的合成运算和决策规则的运用,获取被监测环境状态参数的精确估计,最终用于信息决策。实验结果表明,该方法能有效地提高环境状态监测的准确率,增加状态监测的置信度,提高监测系统的性能。
    Abstract: The paper put forward an information detection method using fuzzy data fusion technology of multi-sensor.The method uses multi-sensor to monitor parameters of temperature,humidity,ventilation amount,and others of monitored environment, then multivariate information obtained by multi-sensor are made fuzzification and accurate state parameter estimation of the monitored environment is obtained by use of synthetic operation and decision rule of data fusion center,which can be used in the final information decision.The experiment result showed that the method can improve accuracy rate of environment state monitoring effectively,increase confidence degree of state monitoring,and improve performance of environment monitoring system.
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出版历程
  • 刊出日期:  2009-08-09

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