Maritime Emission Monitoring: Development and Testing of a UAV-Based Real-Time Wind Sensing Mission Planner Module

IF 3.5 3区 综合性期刊 Q2 CHEMISTRY, ANALYTICAL
Sensors Pub Date : 2024-02-01 DOI:10.3390/s24030950
Theodoros Karachalios, Panagiotis Moschos, Theofanis Orphanoudakis
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Abstract

Maritime emissions contribute significantly to global pollution, necessitating accurate and efficient monitoring methods. Traditional methods for tracking ship emissions often face limitations in real-time data accuracy, with wind measurement being a critical yet challenging aspect. This paper introduces an innovative mission planner module for unmanned aerial vehicles (UAVs) that leverages onboard wind sensing capabilities to enhance maritime emission monitoring. The module’s primary objective is to assist operators in making informed decisions by providing real-time wind data overlays, thus optimizing flight paths and data collection efficiency. Our experimental setup involves the testing of the module in simulated maritime environments, demonstrating its efficacy in varying wind conditions. The real-time wind data overlays provided by the module enable UAV operators to adjust their flight paths dynamically, reducing unnecessary power expenditure and mitigating the risks associated with low-battery scenarios, especially in challenging maritime conditions. This paper presents the implementation of real-time wind data overlays on an open-source state-of-the-art mission planner as a C# plugin that is seamlessly integrated into the user interface. The factors that affect performance, in terms of communication overheads and real-time operation, are identified and discussed. The operation of the module is evaluated in terms of functional integration and real-time visual representation of wind measurements, and the enhanced situational awareness that it can offer to mission controllers is demonstrated. Beyond presenting a novel application of UAV technology in environmental monitoring, we also provide an extensive discussion of how this work will be extended in the context of complete aerial environmental inspection missions and the future directions in research within the field that can potentially lead to the modernization of maritime emission monitoring practices.
海洋排放监测:开发和测试基于无人机的实时风感任务规划模块
海上排放对全球污染有重大影响,因此需要精确高效的监测方法。传统的船舶排放跟踪方法往往面临实时数据准确性的限制,其中风力测量是一个关键但具有挑战性的方面。本文介绍了一种用于无人飞行器(UAV)的创新任务规划模块,该模块利用机载风力传感能力来加强海上排放监测。该模块的主要目标是通过提供实时风力数据叠加,协助操作员做出明智决策,从而优化飞行路径和数据收集效率。我们的实验设置包括在模拟海上环境中测试该模块,展示其在不同风力条件下的功效。该模块提供的实时风力数据叠加使无人机操作员能够动态调整飞行路径,减少不必要的电力消耗,降低低电量情况下的相关风险,尤其是在具有挑战性的海上条件下。本文介绍了实时风力数据叠加在开源的最先进任务计划器上的实现情况,该任务计划器是一个 C# 插件,可无缝集成到用户界面中。本文确定并讨论了在通信开销和实时操作方面影响性能的因素。从功能集成和风力测量的实时可视化表示方面对该模块的运行进行了评估,并展示了该模块可为任务控制人员提供的更强的态势感知能力。除了介绍无人机技术在环境监测中的新颖应用,我们还广泛讨论了如何将这项工作扩展到完整的空中环境检测任务中,以及该领域的未来研究方向,这有可能导致海上排放监测实践的现代化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sensors
Sensors 工程技术-电化学
CiteScore
7.30
自引率
12.80%
发文量
8430
审稿时长
1.7 months
期刊介绍: Sensors (ISSN 1424-8220) provides an advanced forum for the science and technology of sensors and biosensors. It publishes reviews (including comprehensive reviews on the complete sensors products), regular research papers and short notes. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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