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Towards real-world gas distribution mapping and leak localization using a mobile robot with 3d and remote gas sensing capabilities

机译:使用具有3d和远程气体感应功能的移动机器人实现真实的气体分布图绘制和泄漏定位

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Due to its environmental, economical and safety implications, methane leak detection is a crucial task to address in the biogas production industry. In this paper, we introduce Gasbot, a robotic platform that aims to automatize methane emission monitoring in landfills and biogas production sites. The distinctive characteristic of the Gasbot platform is the use of a Tunable Laser Absorption Spectroscopy (TDLAS) sensor. This sensor provides integral concentration measurements over the path of the laser beam. Existing gas distribution mapping algorithms can only handle local measurements obtained from traditional in-situ chemical sensors. In this paper we also describe an algorithm to generate 3D methane concentration maps from integral concentration and depth measurements. The Gasbot platform has been tested in two different scenarios: an underground corridor, where a pipeline leak was simulated and in a decommissioned landfill site, where an artificial methane emission source was introduced.
机译:由于其对环境,经济和安全的影响,甲烷泄漏检测是沼气生产行业要解决的关键任务。在本文中,我们介绍了Gasbot,这是一个机器人平台,旨在自动控制垃圾填埋场和沼气生产场所的甲烷排放量。 Gasbot平台的显着特征是使用可调激光吸收光谱(TDLAS)传感器。该传感器在激光束的整个路径上提供积分浓度测量。现有的气体分布图算法只能处理从传统的原位化学传感器获得的局部测量值。在本文中,我们还描述了一种根据积分浓度和深度测量值生成3D甲烷浓度图的算法。 Gasbot平台已在两种不同的情况下进行了测试:地下走廊(模拟了管道泄漏)和退役的垃圾填埋场(引入了人工甲烷排放源)。

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