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[ "董超(1982-),男,博士,国家海洋局南海调查技术中心副研究员、维权技术室主任,中国太平洋学会专家库专家/特聘研究员,淮海工学院海洋智能装备研究院特聘研究员。近些年,大力推动无人艇在海洋调查领域的应用,在海洋调查无人艇的研制和应用方面成绩突出。作为主要发起人,成立“南海无人艇调查技术联合实验室”,开展多种无人艇的研发、测试和应用,在国家海洋局专项研发计划中提出10多项无人艇设计方案。获得2016年度海洋科学技术奖特等奖。" ]
[ "陈焱琨(1982-),女,博士,现就职于国家海洋局南海调查技术中心,主要研究方向为无线通信、水声通信、水声网络技术。" ]
网络出版日期:2018-06,
纸质出版日期:2018-06-20
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董超, 陈焱琨. 海洋监测与海洋互联信息网业务现状分析[J]. 电信科学, 2018,34(6):15-19.
Chao DONG, Yankun CHEN. Analysis on marine monitoring and data service of marine internet[J]. Telecommunications science, 2018, 34(6): 15-19.
董超, 陈焱琨. 海洋监测与海洋互联信息网业务现状分析[J]. 电信科学, 2018,34(6):15-19. DOI: 10.11959/j.issn.1000-0801.2018191.
Chao DONG, Yankun CHEN. Analysis on marine monitoring and data service of marine internet[J]. Telecommunications science, 2018, 34(6): 15-19. DOI: 10.11959/j.issn.1000-0801.2018191.
伴随着人类对陆地资源的过度开发和利用,人类面临着严重的资源短缺问题,我国拥有丰富的海洋资源,为缓解资源短缺问题提供了新的思路。同时,海洋自然灾害对沿海地区造成了很大的经济损失。因此,在海洋开发利用的过程中,越来越需要能提供实时海洋采样、环境监控、
水下勘探、灾难预警等应用的海洋互联信息网络。首先详细介绍了海洋监测方式和监测数据的特点,接着以我国海洋断面调查及海—气 CO
2
交换通量监测的业务特点为例,发现在长期的海洋监测任务过程中,有以下 3 个亟待解决的问题:海洋监测互联网的业务需求、海洋监测大数据背景下的共享平台需求以及海底观测网络需求。
China has abundant marine resources and provides new ideas for alleviating the shortage of resources.At the same time
natural disasters in the sea caused great economic losses in the coastal areas.Therefore
in the process of marine development and utilization
there is an increasing need for an ocean interconnected information network that can provide real-time marine sampling
environmental monitoring
underwater exploration
and disaster warning applications.Firstly
the characteristics of marine monitoring methods and monitoring data were introduced in detail.Then
taking the oceanography survey of China and the business characteristics of sea-gas CO
2
exchange flux monitoring as examples
it was found that in the long-term marine monitoring task
there were three issues that needed to be solved urgently
including the needs of the marine monitoring internet business
the needs of shared platforms in the context of marine monitoring big data
and the needs of submarine observation networks.
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