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无人机水面巡检地面站APP的设计与实现

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随着工业发展和社会进步,水环境治理越来越受到人们的重视.由于无人机在巡检方面具有体积小、效率高和作业范围广、操作方便等优点.基于Moblie SDK和UX SDK平台,采用消费级大疆无人机和Android移动设备,结合神经网络检测模型,开发出一款可以用于水面漂浮物巡检的地面站APP.实现了水面漂浮物的拍照、回传、定位、分类和存储,大大提高水面漂浮物巡检效率,对推进水面环境治理的智能化发展具有重要的借鉴意义.
Design and implementation of a ground station APP for unmanned aerial vehicle surface inspection
With the development of industry and social progress,water environment is receiving increasing attention from people.Due to the advantages of small size,high efficiency,wide operational range,and convenience in operation from unmanned aerial vehi-cles.Combined with neural network detection models,this article developed a ground station APP that can be used for surface floating object inspection based on the Moblie SDK and UX SDK platforms with consumer grade DJI drones and Android mobile devices.The app enables the capture,transmission,localization,classification,and storage of floating objects'images,significantly improving the efficiency of water surface inspection.It holds significant reference value for promoting the intelligent development of water environ-ment management.

ground stationwater surface inspectionUAVandroid terminal

刘帮勇、叶晨阳、刘红姣

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江汉大学智能制造学院,武汉 430056

地面站 水面巡检 无人机 Android终端

2024

自动化与仪器仪表
重庆工业自动化仪表研究所,重庆市自动化与仪器仪表学会

自动化与仪器仪表

CSTPCD
影响因子:0.327
ISSN:1001-9227
年,卷(期):2024.(11)