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Special Odor Source Localization Based on Internet of Mobile Things

机译:基于移动物联网的特殊气味源定位

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摘要

Odor is closely bound up with people’s lives. Hazardous gases can do us more harm. It is now imperative totake a deep dive into life odors in order to lessen the harm the hazardous gases cause to human body. Inmodern times, the integration of mobile internet and odor source localization is a new trend of current study inthe field. A plume model is used herein to conduct a simulation experiment on odor source localization basedon the IoMT (Internet of Mobile Things). Study results show that: indoor simulation experiment has a very highsuccess rate, but there is a fuzzy effect of the step size and the sensor distribution radius on the success rateof the odor source localization; if the step size and the sensor distribution radius are lesser, the success rateof the odor source localization is subjected to the two to a certain extent and shows a downward trend. Thesuccess rate of simulation experiment in the outdoor environment is significantly lower than that in the indoorenvironment. Therefore, it is very important to choose a reasonable range of values in the simulationexperiment.
机译:气味与人们的生活息息相关。有害气体会对我们造成更大的伤害。现在势在必行 深入研究生活气味,以减少有害气体对人体的伤害。在 在现代,移动互联网和气味源本地化的融合是当前研究的新趋势。 场。本文使用羽状模型对基于气味源的定位进行模拟实验 在IoMT(移动物联网)上。研究结果表明:室内模拟实验具有很高的 成功率,但是步长和传感器分布半径对成功率产生模糊影响 气味源的定位;如果步长和传感器分布半径较小,则成功率 气味源的局部化在一定程度上受到两者的影响,并呈下降趋势。这 室外环境下模拟实验的成功率明显低于室内环境 环境。因此,在模拟中选择合理的值范围非常重要 实验。

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