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UAV-BASED GAS PIPELINE LEAK DETECTION

机译：基于无人机的天然气管道泄漏检测

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Inspection of onshore gas pipelines for gas leaks is an expensive undertaking due to the costs for personnel and equipment. This is particularly true in remote areas. One way to reduce costs is the deployment of small-sized unmanned aerial vehicles (UAVs), which can be operated with minimal deployment infrastructure. However, payload capacities for sensors on these platforms are limited and sophisticated processing is required, in case the system is operated autonomously. This paper describes a payload solution that carries out remote sensing missions using a combination of lasers and an electro-optical sensor to detect gas leaks in unburied onshore pipelines. A camera in the optical wavelength range is utilised to track the pipeline automatically with the actual algorithm running onboard. The extracted position information together with the attitude of the UAV is used to orientate a pair of lasers mounted on a gimbal to sense the pipeline and its immediate surroundings. The corresponding readings can be directly related to the concentration level of the gas, i.e. methane. However, due to the functional principles of lasers, only point-sampling can be achieved. In order to cover the entire pipeline, a whisk-broom scan pattern is generated by controlling the gimbal accordingly. All data is recorded onboard, but can be transmitted to the ground station simultaneously.
机译：由于人员和设备成本的原因，检查陆上天然气管道的气体泄漏是一项昂贵的工作。在偏远地区尤其如此。降低成本的一种方法是部署小型无人机（UAV），这种无人机可以在最少的部署基础架构下运行。但是，在系统自主运行的情况下，这些平台上传感器的有效负载容量是有限的，并且需要复杂的处理。本文介绍了一种有效载荷解决方案，该解决方案使用激光和电光传感器的组合来执行遥感任务，以检测未埋的陆上管道中的气体泄漏。利用光学波长范围内的摄像机，利用船上运行的实际算法自动跟踪管道。提取的位置信息与无人机的姿态一起用于确定安装在万向架上的一对激光的方向，以感测管道及其附近的环境。相应的读数可以直接与气体​​即甲烷的浓度水平相关。但是，由于激光器的功能原理，只能实现点采样。为了覆盖整个管道，通过相应地控制万向架来产生扫帚扫描图案。所有数据都记录在船上，但可以同时传输到地面站。

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