Being oriented to a single platform carrying a single specific communication function business, the current marine communication network status monitoring and platform scheduling system is difficult to meet the increasingly complex development needs such as multiagent collaboration, multimeans integration, and multibusiness integration in marine communication networks. This article proposes an intelligent monitoring and scheduling system design scheme for maritime emergency communication networks. This scheme can meet the requirements of emergency scenarios in maritime emergency communication networks, and realize a multiagent collaborative scheduling system by analyzing real-time monitoring information from sky, air, shore, sea, and submarine agents. It is a highly adaptable intelligent monitoring and collaborative scheduling system featuring flexible network construction and rapid network supplementation for marine emergency communication networks. It can also solve the problem of real-time data transmission between heterogeneous communication systems by means of flexible combination of offshore platforms and communication loads, thus greatly improving the support capability of maritime communication networks. A demonstration system has been constructed based on the national major project "Smart Ocean" emergency communication experimental network and applied to real-time information perception, emergency response planning, event handling, video consultation and other business in typical marine emergency application scenarios. It has been validated that the intelligent monitoring and scheduling system described in the article can meet the intelligent development of marine communication networks.
ZHOU Xue
,
JIN Shangxi
,
XIE Shuo
,
YAN Jianfeng
,
WANG Xiaorui
,
MENG Junfeng
,
OUYAN Zhaohong
,
HUANG Wanning
. Design and application of intelligent monitoring and scheduling system for smart ocean emergency communication network[J]. Science & Technology Review, 2024
, 42(13)
: 125
-140
.
DOI: 10.3981/j.issn.1000-7857.2023.05.00765
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