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PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology

机译:无人机着陆点山区的PLC集成传感技术:专注于软件技术

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摘要

In the Republic of Korea, one of the most widely discussed subjects related to future logistics technology is the drone-based delivery (transportation) system. Much (around 75%) of Korea’s territory consists of mountainous areas; however, the costs of installing internet facilities for drone landing sites are very high compared to other countries. Therefore, this paper proposes the power-line communication (PLC) system introduced in the author’s previous study as an alternative solution. For the system design, a number of lightning rods are used together with a monitoring system. The system algorithm performs substantial data analysis. Also, as the author found that instantaneous high-voltage currents were a major cause of fire incidents, a three-phase three-wire connection was used for the installation of the lightning rods (Bipolar Conventional Air Terminal). Thus, based on the PLC technology, an artificial intelligence (AI) which avoids lightning strikes at the drone landing site by interworking with a closed-circuit television (CCTV) monitoring system when a drone flies over the mountain regions is proposed in this paper. The algorithm was implemented with C++ and Unity/C#, whereas the application for the part concerning the integrated sensing was developed with Java Android.
机译:在大韩民国,与未来物流技术相关的讨论最广泛的主题之一是基于无人机的交付(运输)系统。韩国的大部分地区(约75%)由山区组成;然而,与其他国家相比,为无人机着陆点安装互联网设施的成本非常高。因此,本文提出了作者先前研究中引入的电力线通信(PLC)系统作为替代解决方案。对于系统设计,将许多避雷针与监视系统一起使用。系统算法执行大量数据分析。另外,由于作者发现瞬时高压电流是引起火灾的主要原因,因此使用了三相三线连接来安装避雷针(双极式传统空气终端)。因此,本文提出了一种基于PLC技术的无人驾驶飞机,它通过与无人驾驶飞机越过山区的闭路电视监控系统协同工作,避免了无人驾驶飞机着陆点的雷击。该算法是用C ++和Unity / C#实现的,而有关集成感测的部分的应用程序是使用Java Android开发的。

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