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.
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The authors would like to thank the associate editor and the reviewers for the time and effort provided to review the manuscript.
Funding
This work is supported by the Fundamental Research Funds for the Central Universities (Grant No. HIT. NSRIF.201714), Weihai Science and Technology Development Program (2016DX GJMS15), Weihai Scientific Research and Innovation Fund (2020), the Grant 19YG02, Sanming University and Key Research and Development Program in Shandong Provincial (2017GGX90103).
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Cao, N. et al. (2022). MGDP: Architecture Design of Intelligent Detection Platform for Marine Garbage Based on Intelligent Internet of Things. In: Sun, X., Zhang, X., Xia, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2022. Lecture Notes in Computer Science, vol 13340. Springer, Cham. https://doi.org/10.1007/978-3-031-06791-4_53
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DOI: https://doi.org/10.1007/978-3-031-06791-4_53
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