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

  • Ning Cao
  • , Yansong Wang
  • , Xiaofang Li*
  • , Rongning Qu
  • , Yuxuan Wang
  • , Zhikun Liang
  • , Zijian Zhu
  • , Chi Zhang
  • , Dongjie Zhu
  • *Corresponding author for this work
  • Sanming University
  • School of Computer Science and Technology, Harbin Institute of Technology
  • Harbin Institute of Technology Weihai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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 front-end, 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.

Original languageEnglish
Title of host publicationArtificial Intelligence and Security - 8th International Conference, ICAIS 2022, Proceedings
EditorsXingming Sun, Xiaorui Zhang, Zhihua Xia, Elisa Bertino
PublisherSpringer Science and Business Media Deutschland GmbH
Pages678-688
Number of pages11
ISBN (Print)9783031067907
DOIs
StatePublished - 2022
Externally publishedYes
Event8th International Conference on Artificial Intelligence and Security, ICAIS 2022 - Qinghai, China
Duration: 15 Jul 202220 Jul 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13340 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Artificial Intelligence and Security, ICAIS 2022
Country/TerritoryChina
CityQinghai
Period15/07/2220/07/22

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 12 - Responsible Consumption and Production
    SDG 12 Responsible Consumption and Production
  2. SDG 14 - Life Below Water
    SDG 14 Life Below Water

Keywords

  • Internet of Things
  • Marine garbage detection
  • Network geographic information system
  • Online target marking

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