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    Architectures of sensor networks for biological and chemical agent detection and identification
    1.
    发明申请
    Architectures of sensor networks for biological and chemical agent detection and identification 审中-公开
    用于生物和化学试剂检测和鉴定的传感器网络架构

    公开(公告)号：US20070093970A1

    公开(公告)日：2007-04-26

    申请号：US11186263

    申请日：2005-07-21

    申请人： Aravind Padmanabhan ,  Subash Krishnankutty ,  Wing Au ,  Mike Bazakos ,  Brian Krafthefer

    发明人： Aravind Padmanabhan ,  Subash Krishnankutty ,  Wing Au ,  Mike Bazakos ,  Brian Krafthefer

    IPC分类号： G06F19/00 ,  G08B19/00

    CPC分类号： G08B21/12

    摘要： A sensor network provides the ability to detect, classify and identify a diverse range of agents over a large area, such as a geographical region or building. The network possesses speed of detection, sensitivity, and specificity for the diverse range of agents. Different functional level types of sensors are employed in the network to perform early warning, broadband detection and highly specific and sensitive detection. A high probability of detection with low probability of false alarm is provided by the processing of information provided from multiple sensors. A Bayesian net is utilized to combine probabilities from the multiple sensors in the network to reach a decision regarding the presence or absence of a threat. The network is field portable and capable of autonomous operation. It also is capable of providing automated output decisions.

    摘要翻译： 传感器网络提供检测，分类和识别大面积（例如地理区域或建筑物）上的各种代理的能力。 网络具有各种代理的检测速度，灵敏度和特异性。 在网络中采用不同功能级别的传感器进行预警，宽带检测和高度特异性和灵敏度的检测。 通过处理从多个传感器提供的信息来提供具有低误报率的检测的高概率。 使用贝叶斯网络来组合来自网络中的多个传感器的概率以达成有关威胁的存在或不存在的决定。 该网络是现场便携式的，能够进行自主操作。 它还能够提供自动输出决定。