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两种不同的无人机载磁数据飞行配置的性能。

Performance of Two Different Flight Configurations for Drone-Borne Magnetic Data.

机构信息

Department of Earth, Environmental and Resources Sciences, University of Naples "Federico II", 80126 Naples, Italy.

Institute for Mediterranean Agricultural and Forest Systems (ISAFOM), Consiglio Nazionale delle Ricerche (CNR), 80055 Portici, Italy.

出版信息

Sensors (Basel). 2021 Aug 26;21(17):5736. doi: 10.3390/s21175736.

Abstract

The compensation of magnetic and electromagnetic interference generated by drones is one of the main problems related to drone-borne magnetometry. The simplest solution is to suspend the magnetometer at a certain distance from the drone. However, this choice may compromise the flight stability or introduce periodic data variations generated by the oscillations of the magnetometer. We studied this problem by conducting two drone-borne magnetic surveys using a prototype system based on a cesium-vapor magnetometer with a 1000 Hz sampling frequency. First, the magnetometer was fixed to the drone landing-sled (at 0.5 m from the rotors), and then it was suspended 3 m below the drone. These two configurations illustrate endmembers of the possible solutions, favoring the stability of the system during flight or the minimization of the mobile platform noise. Drone-generated noise was filtered according to a CWT analysis, and both the spectral characteristics and the modelled source parameters resulted analogously to that of a ground magnetic dataset in the same area, which were here taken as a control dataset. This study demonstrates that careful processing can return high quality drone-borne data using both flight configurations. The optimal flight solution can be chosen depending on the survey target and flight conditions.

摘要

无人机所产生的磁和电磁干扰的补偿是与无人机载磁力测量相关的主要问题之一。最简单的解决方案是将磁力计悬停在距无人机一定距离处。然而,这种选择可能会影响飞行稳定性,或引入由磁力计的振荡产生的周期性数据变化。我们使用基于铯蒸气磁力计(采样频率为 1000 Hz)的原型系统进行了两次无人机载磁力测量,研究了这个问题。首先,将磁力计固定在无人机着陆橇上(距旋翼 0.5 m),然后将其悬挂在无人机下方 3 m 处。这两种配置说明了可能的解决方案的两个极端,有利于在飞行过程中系统的稳定性或移动平台噪声的最小化。根据 CWT 分析对无人机产生的噪声进行了滤波,并且光谱特征和模拟源参数的结果与同一区域的地面磁力数据集类似,这里将其作为控制数据集。本研究表明,通过两种飞行配置进行仔细处理,可以获得高质量的无人机载数据。可以根据调查目标和飞行条件选择最佳的飞行解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fa0/8433984/2df90830c227/sensors-21-05736-g001.jpg

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