Boundary Tracking and Rapid Mapping of A Thermal Plume Using an Autonomous Vehicle
Boundary Tracking and Rapid Mapping of A Thermal Plume Using an Autonomous Vehicle
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使用自动驾驶车辆进行热羽流边界跟踪和快速测绘
DOI：
10.1109/oceans.2006.306807
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发表时间：
2006
期刊：
影响因子：
--
通讯作者：
D. Stilwell
中科院分区：
文献类型：
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作者：
C. Cannell;A. S. Gadre;D. Stilwell
提出了一种用于快速绘制核电站出站烟羽的自适应采样算法。羽流探测是基于羽流指示器函数的概念，粗略地说，该函数指示环境样本来自羽流而不是来自周围环境的可能性。对于电厂出水的情况，我们证明了由温度、盐度、溶解氧和流量大小等测量参数组成的羽流指示函数大大增强了自适应采样算法的稳健性。报道了使用小型自动水面车辆进行的成功的现场试验。
Adaptive sampling algorithms for rapidly mapping the outflow plume from a nuclear power plant are presented. Plume detection is based on the notion of a plume indicator function that, loosely speaking, indicates the likelihood that an environmental sample is from the plume rather than from the ambient environment. For the case of a power plant outflow, we show that a plume indicator function composed of several measured parameters, such as temperature, salinity, dissolved oxygen, and flow magnitude, greatly enhance the robustness of our adaptive sampling algorithms. Successful field trials using a small autonomous surface vehicle are reported