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Implementation of hot-wire anemometer on olfactory mobile robot to localize gas source

机译:热线风速仪在嗅觉移动机器人上实现气源定位的实现

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Wind is a major factor that can inhibit the process of tracking the source of gas leakage by the olfactory mobile robot, as it can reduce and even remove the gas concentration. This will cause the robot to take a long time to find the source of the gas leak, even fails. Therefore, this study has implemented anemometer to help the robot to determine the direction of the gas source. A hot wire anemometer is a tool used to measure wind speed by utilizing heated wire filaments. The nickel wire is wrapped to a semiconductor temperature sensor and is supplied with a constant current resulting in a temperature of 60 °C. The Neural Network algorithm is used to determine wind direction based on the pattern of temperature change values on four anemometers. The experimental results showed that this anemometer has an accuracy rate of 88%. In addition, the application of anemometer on the olfactory mobile robot can help the robot's movement towards the target so that it can improve the success rate.
机译:风是阻碍嗅觉移动机器人追踪气体泄漏源的过程的主要因素,因为它可以减少甚至消除气体浓度。这将导致机器人花费很长时间来查找气体泄漏的来源,甚至失败。因此,本研究实施了风速计来帮助机器人确定气源的方向。热丝风速计是一种用于通过利用加热丝来测量风速的工具。镍线缠绕在半导体温度传感器上,并提供恒定电流,温度为60°C。神经网络算法用于根据四个风速计上温度变化值的模式确定风向。实验结果表明,该风速仪的准确率为88%。另外,将风速计应用在嗅觉移动机器人上可以帮助机器人向目标移动,从而提高成功率。

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