基于LoRA通信的无人船监控移动应用

L. Subiyanto, A. Arfianto, S. Alfuat, D. P. Riananda, E. Supriyanto, F. Nofandi, T. Santoso, N. Gunantara, V. Ardhana
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引用次数: 0

摘要

海中鱼的潜力是渔民的希望。在捕鱼过程中,由于船只到捕鱼地点的距离和方向还不准确,渔民必须绕着船去绘制捕鱼地点的地图。渔民仅仅依靠其他渔民的经验和信息来寻找鱼类分布的位置,这将由于目标的不确定性而造成船燃料的损失。本研究将展示移动导航应用程序的设计过程,以找到鱼类分布的位置。该设备以海洋研究与观测中心的经纬度数据为基础进行工作。通过输入鱼类分布数据,可以知道位置的距离和方向。安卓手机应用“移动虚拟助手”(MVA)通过智能手机的GPS数据、地图和陀螺仪罗盘传感器来定位鱼类分布,并将数据分析与安卓应用“北极星导航”进行比较,找出坐标。经过10次测试,Android虚拟移动助手应用程序成功地到达了目的地,其精度与移动导航应用程序坐标点检测器的精度相差24米。因此可以得出结论,所制作的android移动应用程序可以准确地读取坐标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mobile Application for Unmanned Ship Monitoring Based on LoRA Communication
The potential of fish in the sea is a hope for fishers. During fishing, fishers must go around and map the fishing location because the distance and direction of the ship to the fishing location is not yet known accurately. Fishers only rely on the experience and information from other fishers to find out the location of fish distribution, and this will cause boat fuel losses because of the uncertain goals. In this research will shown the making process of the design of mobile navigation applications to find the location of the fish distribution. The device works based on information data in the form of latitude and longitude data from the Center for Marine Research and Observation. By entering the fish distribution data, the distance and direction of the location can be known. Android mobile application called Mobile Virtual Assistant (MVA) works by using smartphone GPS data, maps, and gyroscope compass sensors to locate fish distribution and data analysis will be compared with the Android application “Polaris Navigation” to find out the coordinates. From 10 tests, the Android Virtual Mobile Assistant application successfully headed to the destination location with a different accuracy of 24 meters from the Mobile Navigation Apps coordinate point detector. So it can be concluded that the android mobile application that is made can read the coordinates accurately.
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