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基于多传感器管理技术的危险源监测与分析

Monitoring and Analysis of Danger Resources Based on Multi-Sensor Management Technology
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摘要 传感器管理是信息融合技术中的一个重要方面。面向矿井通风安全监测,本文提出了基于传感器管理技术的危险源监测与分析方法。分析了系统中的多监测目标优先级,确定目标的威胁程度,由此确定传感器资源对危险源的分配。实例表明,采用合理的目标威胁程度评估算法能确定目标优先级,能为多传感器资源的合理分配提供决策支持。 Sensor management is an important part of information fusion technology. Facing safety monitoring in the mine ventilation system, the paper presents an approach for monitoring and analysis of danger resources. Based on multi-sensor management technology, the multi-target priority is analyzed. Then, the sensor resource allocated to the many danger resources is determined by establishing a quantitative base. The example shows that the target priority can be determined by using the reasonable evaluation algorithm of targets threat, and can provide decision-support to the reasonable allocation of multi-sensor resource.
出处 《自动化技术与应用》 2010年第9期50-52,56,共4页 Techniques of Automation and Applications
基金 江苏省社会发展科技计划(编号BS2005052)
关键词 矿井通风 安全监测 信息融合 多传感器管理 多目标排序 mine ventilation safety monitoring information fusion multi-sensor management multi-target sequencing
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参考文献5

  • 1HE JIN-CAN, XU LI-ZHONG,etc.Mine Ventilation Safety Assessment Based on FNN and D-S gvtcience Theory[C]. Neural Networks and Brain, 2005. ICNN&B apos, 05. International Conference on Volume 2, Issue, 13-15 Oct. 2005 : 847-850.
  • 2何金灿,徐立中,姚鸿熙等.通风系统神经网络方法评价结果的不稳定性分析及改进[C].中国人工智能学会第11届全国学术年会,2005,10.
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