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Odor source localization strategy under environment with obstacles and dynamic turbulent airflow

机译:环境下的气味源定位策略,障碍和动态湍流气流

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Tracking dynamic odor plume up to odor source in real world environment using a chemical sensor is not trivial task. In general, odor distribution in real world is temporally and spatially fluctuated in random manner. This paper presents a computer simulation framework to develop and evaluate a tracking strategy in consistent virtual environment. A dynamic turbulent environment model with an odor source was modeled in a Computational Fluid Dynamics (CFD) software and the resulted data was used for a plume tracking simulation. This paper addresses the problem of estimating the trend of fluctuated odor concentration for odor plume tracking. An estimation method to approximate concentration trend of fluctuated odor is embedded into a chemotaxis-anemotaxis based plume tracking strategy to localize the source. Performance of the strategy was evaluated over many initial positions of tracking node throughout the virtual environment. This method is useful to enhance the localization capability.
机译:跟踪使用化学传感器的现实世界环境中的动态气味羽流量不是琐碎的任务。通常,现实世界中的气味分布在时间上和空间上以随机的方式波动。本文介绍了计算机仿真框架,可在一致的虚拟环境中开发和评估跟踪策略。具有气味源的动态湍流环境模型在计算流体动力学(CFD)软件中进行了建模,并将产生的数据用于羽流跟踪仿真。本文解决了气味羽状跟踪估算波动气味浓度趋势的问题。将波动气味的近似浓度趋势的估计方法嵌入到基于趋化性的基于气象的噬菌体的羽流跟踪策略中,以定位源。在整个虚拟环境中的跟踪节点的许多初始位置评估该策略的性能。该方法可用于增强本地化能力。

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