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使用无人机进行放射性侦察、监测和检查。

Radiological Scouting, Monitoring and Inspection Using Drones.

机构信息

Insituto de Plasmas e Fusão Nuclear, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais 1, 1049-001 Lisboa, Portugal.

Centro de Ciências e Tecnologias Nucleares, Instituto Superior Técnico, Universidade de Lisboa, Estrada Nacional 10, ao km 139,7 2695-066 Bobadela, Portugal.

出版信息

Sensors (Basel). 2021 Apr 30;21(9):3143. doi: 10.3390/s21093143.

Abstract

Human populations and natural ecosystems are bound to be exposed to ionizing radiation from the deposition of artificial radionuclides resulting from nuclear accidents, nuclear devices or radiological dispersive devices ("dirty bombs"). On the other hand, Naturally Occurring Radioactive Material industries such as phosphate production or uranium mining, contribute to the on site storage of residuals with enhanced concentrations of natural radionuclides. Therefore, in the context of the European agreements concerning nuclear energy, namely the European Atomic Energy Community Treaty, monitoring is an essential feature of the environmental radiological surveillance. In this work, we obtain 3D maps from outdoor scenarios, and complete such maps with measured radiation levels and with its radionuclide signature. In such scenarios, we face challenges such as unknown and rough terrain, limited number of sampled locations and the need for different sensors and therefore different tasks. We propose a radiological solution for scouting, monitoring and inspecting an area of interest, using a fleet of drones and a controlling ground station. First, we scout an area with a Light Detection and Ranging sensor onboard a drone to accurately 3D-map the area. Then, we monitor that area with a Geiger-Müller Counter at a low-vertical distance from the ground to produce a radiological (heat)map that is overlaid on the 3D map of the scenario. Next, we identify the hotspots of radiation, and inspect them in detail using a drone by landing on them, to reveal its radionuclide signature using a Cadmium-Zinc-Telluride detector. We present the algorithms used to implement such tasks both at the ground station and on the drones. The three mission phases were validated using actual experiments in three different outdoor scenarios. We conclude that drones can not only perform the mission efficiently, but in general they are faster and as reliable as personnel on the ground.

摘要

人类和自然生态系统必然会受到核事故、核装置或放射性分散装置(“脏弹”)所产生的人工放射性核素沉降的照射。另一方面,磷酸盐生产或铀矿开采等天然放射性材料工业导致残留物质的现场储存,其天然放射性核素浓度增强。因此,在涉及核能的欧洲协议,即欧洲原子能共同体条约的背景下,监测是环境放射性监测的一个重要特征。在这项工作中,我们从户外场景中获取 3D 地图,并使用测量的辐射水平及其放射性核素特征来完成这些地图。在这种情况下,我们面临着未知和粗糙地形、采样位置有限以及需要不同传感器和因此不同任务等挑战。我们提出了一种使用无人机和控制地面站对感兴趣的区域进行侦察、监测和检查的放射性解决方案。首先,我们使用无人机上的激光雷达传感器对该区域进行侦察,以精确地对该区域进行 3D 测绘。然后,我们使用盖革-弥勒计数器在离地较低的垂直距离监测该区域,以生成覆盖在场景 3D 地图上的放射性(热)地图。接下来,我们确定辐射热点,并使用无人机对其进行详细检查,通过降落在热点上,使用碲化镉锌探测器揭示其放射性核素特征。我们介绍了在地面站和无人机上实现这些任务的算法。三个任务阶段都在三个不同的户外场景中进行了实际实验验证。我们的结论是,无人机不仅可以高效地执行任务,而且通常比地面上的人员更快、更可靠。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/82cd/8125498/2ad21129f74c/sensors-21-03143-g001.jpg

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