MGDP: Architecture Design of Intelligent Detection Platform for Marine Garbage Based on Intelligent Internet of Things

被引:0
|
作者
Cao, Ning [1 ]
Wang, Yansong [2 ]
Li, Xiaofang [3 ]
Qu, Rongning [3 ]
Wang, Yuxuan [2 ]
Liang, Zhikun [2 ]
Zhu, Zijian [2 ]
Zhang, Chi [2 ]
Zhu, Dongjie [2 ]
机构
[1] Sanming Univ, Coll Informat Engn, Sanming 365000, Peoples R China
[2] Harbin Inst Technol, Sch Comp Sci & Technol, Weihai 264209, Peoples R China
[3] Harbin Inst Technol, Dept Math, Weihai 264209, Peoples R China
来源
ARTIFICIAL INTELLIGENCE AND SECURITY, ICAIS 2022, PT III | 2022年 / 13340卷
关键词
Internet of Things; Network geographic information system; Marine garbage detection; Online target marking;
D O I
10.1007/978-3-031-06791-4_53
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
With the rapid development of global technology and economy, the problem of environmental pollution has become more and more prominent, and people's environmental protection concepts have also been continuously improved. Among them, the treatment of marine garbage is a topic of common concern in the international community nowadays. The advancement of maritime waste management is a rigid need to protect the diversity of the ecological environment. However, there is a large amount of garbage in the sea, which is widely distributed and difficult to deal with. In this context, how to efficiently detect marine garbage and understand the distribution of marine garbage has become a crucial issue. The significance of this system is to effectively integrate and link operators with different responsibilities so that they can effectively integrate their information, understand the distribution of garbage in the sea, and speed up the process of garbage disposal in the sea. This system adopts the B/S architecture, Vue is used in the front-end, and SpringBoot is used in the back-end. The highlight of the technology is that the WebGIS is used to call the map display interface on the frontend, and the pictures taken by the drone can be displayed on the specific location of the map in dots so that it is convenient to check whether there is rubbish or the cleanup of rubbish and then upload it. The picture understands the path taken by the drone and whether the work of the garbage cleaner is effective, which greatly improves the efficiency of garbage treatment.
引用
收藏
页码:678 / 688
页数:11
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