渔业科学数据中心建设研究

doi:10.19788/j.issn.2096-6369.190306

Abstract

Abstract:

Basic, original fisheries science data is generated in the process of fishery technological activities, and has important scientific significance and practical value for agricultural, marine and economic fields. The Fishery Science Data Center, which manages fishery science data and applications of that data, is a crucial strategic resource for technological innovation and industrial development. It also provides important technical support to development strategy and scientific decisions, and improves the modernization of fishery. This study analyzes the characteristics, sources, and possible applications of fishery science data in the context of needing for fishery science data application, with the goal of improving the comprehensive service and smart decision-making ability of the data center and effectively preserving, managing, sharing and mining fishery science data.In the context of needing for fishery science data application We analyze and describe the function and position of the data center in terms of the demands for scientific data in the fishery technological innovation process. The overall architecture of the data center supports data fusion, big data analysis and cloud computing services. Technical roadmaps identify a storage and fusion platform for multi-source heterogeneous fishery data, a big data analysis and application platform in fishery science, and a cloud service platform. The study also considers factors in the sustainable development of the data center, including data collection, systems construction, standards setting, shared services mode, skills and training, and energy saving. The end goal is to ensure the continuous operation of the data center, maximize the value of fishery science data, point the direction for further building fishery science data .

Key words: fisheries science data, data center, data fusion, data mining, cloud computing, scientific data, big data, data sharing

CLC Number:

G203

Feng Lu,Lihua Wang,Shuo Xu. Research on Construction of Fisheries Science Data Center[J].Journal of Agricultural Big Data, 2019, 1(3): 57-70.

Figures/Tables 7

Table1

The sources and characteristics of big data in fishery science"

	数据类别	数据属性	数据来源
渔业资源与环境信息	物种资源与生物特征数据	物种、形态特征、分类、分布特征、产卵场、栖息地、索饵场、洄游通道、生活习性	资源调查、文献、捕捞日志
	渔业水域资源与生态特征数据	水域名称、位置、环境状况、常见物种	资源调查、卫星遥感
	生物资源调查数据	物种、分布状况、资源量	资源调查、捕捞日志、声学探测
	生态环境调查数据	气候、水文、地形地貌、种群、生态结构	监测站点、浮标、潜标、卫星遥感
	声学数据	探鱼仪、声呐	声学数据分析平台
渔船渔港动态监测信息	渔船基本数据	船名、呼号、船型、长度、宽度、船东、国籍、装备传感器	相关业务信息系统
	渔船运行和生产状态数据	油耗、发电机、舵机、推进系统、变频器、曳纲张力等设备运行数据	燃油箱出口流量计或油箱液位计
	渔港基本数据	名称、级别、经纬度、容纳量	相关业务信息系统
	渔船位置数据	经纬度、航速、航向	GPS、AIS、北斗等
	进出港数据	渔船编码、渔港名称、渔港位置、进出港时间、船员	RFID、视频监控设备、相关业务信息系统
	多媒体数据	语音、视频、图片	视频监控设备、通信设备等
渔业生产信息	捕捞作业数据	下网时刻地点、起网时刻地点，渔获物重量	绞车操作手柄处获取放网和收网信号、电子捕捞日志
	养殖数据	温度、pH值、溶解氧、氨氮、亚硝酸盐	物联网监测、传感器
	水产病害与防治数据	疾病/灾害名称、防治方法、检测手段	科学实验、相关业务系统
	水产品加工数据	加工岂可、产品名称、生产要素	车间、相关业务系统
	渔药数据	药品名称、成分、药理、功能疗效、用法、适用对象	制药实验、相关业务系统
水产遗传育种与生物技术	水产育种数据	名称、品种特性、亲体培育、苗种培育、孵化、中间培育、养成	水产育种实验、文献资料
水产遗传育种与生物技术	渔业生物技术数据	基因组数据、蛋白质组数据、基因特征与结构数据、蛋白质特征与结构数据、遗传学图谱、染色体	基因组测序、蛋白质组测序、科学实验、相关业务系统
海洋立体观测信息	气象数据	温度、湿度、光照、风速、风向、雨量、视频	气象站、卫星遥感图像、相关气象数据中心等
	水文数据	温度、盐度、叶绿素、溶解氧、海流、海面高度、涡流	船载感知设备，浮标、潜标、相关海洋数据中心等
	遥感图像数据	图片、数据反演	海洋卫星、气象卫星、资源卫星等
	渔船作业海域地形地貌信息	坐标数据、深度数据	多波束测深仪、声纳设备
渔业装备与设施信息	渔业装备数据	名称、用途、规格型号	实验、生产厂家
渔业装备与设施信息	渔业设施数据	名称、用途、地点、规模	工程实施
渔业科技、经济与战略信息	水产品价格监测	来源、市场、产地价格	现场采集、相关业务系统
	进出口贸易	国家、品种、价格	相关业务系统
	科技成果	图书、文献、专利	相关业务系统
	渔业统计	总产值、渔业人口、生产力	相关业务系统

Table1

Fig.1

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Fig.3

Fig.4

Fig.5

Fig.6

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