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PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology
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...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111769/ https://www.ncbi.nlm.nih.gov/pubmed/30115860 http://dx.doi.org/10.3390/s18082693 |
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author | Huh, Jun-Ho |
author_facet | Huh, Jun-Ho |
author_sort | Huh, Jun-Ho |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6111769 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61117692018-08-30 PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology Huh, Jun-Ho Sensors (Basel) Article 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. MDPI 2018-08-16 /pmc/articles/PMC6111769/ /pubmed/30115860 http://dx.doi.org/10.3390/s18082693 Text en © 2018 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huh, Jun-Ho PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology |
title | PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology |
title_full | PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology |
title_fullStr | PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology |
title_full_unstemmed | PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology |
title_short | PLC-Integrated Sensing Technology in Mountain Regions for Drone Landing Sites: Focusing on Software Technology |
title_sort | plc-integrated sensing technology in mountain regions for drone landing sites: focusing on software technology |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111769/ https://www.ncbi.nlm.nih.gov/pubmed/30115860 http://dx.doi.org/10.3390/s18082693 |
work_keys_str_mv | AT huhjunho plcintegratedsensingtechnologyinmountainregionsfordronelandingsitesfocusingonsoftwaretechnology |