Research on Channel Management Based on UAV Application Technology
- DOI
- 10.2991/978-94-6463-266-8_40How to use a DOI?
- Keywords
- UAV; Channel Management; Application
- Abstract
From a theoretical and practical perspective, waterway maintenance is a very important task that can promote the good development of the waterway. However, due to traditional aerial survey methods, it is difficult to accurately understand the actual situation of the waterway during the maintenance process, and the corresponding level of waterway maintenance is also not high. Based on this, this article takes Liujiang as the research object. In the process of using drones to maintain the 20 meter deep water channel of Liuzhou section of the Liujiang River, in order to gain a detailed understanding of the changes in the channel water area, the drones were used to cruise and set reasonable takeoff and landing points and shooting angles for photography facilities based on the range. Then, the drones were placed on the application site by the operators. This article focuses on the analysis and exploration of the application of drones in the maintenance of important inland waterways, including the selection of drones, route planning, channel cruising, and aerial survey of channel facilities. It is hoped that this will provide some reference for the maintenance of important inland waterways.
- Copyright
- © 2024 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Yingxin Cheng AU - Zhifeng Mao PY - 2023 DA - 2023/10/10 TI - Research on Channel Management Based on UAV Application Technology BT - Proceedings of the 2nd International Conference on Intelligent Design and Innovative Technology (ICIDIT 2023) PB - Atlantis Press SP - 379 EP - 387 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-266-8_40 DO - 10.2991/978-94-6463-266-8_40 ID - Cheng2023 ER -