[1]黄雅玉[],鄂旭[][],杨芳[],等. 水产养殖物联网系统集成与安全预警研究[J].计算机技术与发展,2017,27(09):201-204.
　HUANG Ya-yu[],E Xu[][],YANG Fang[],et al. Research on Integration of Internet of Things System and Security Early Warning in Aquaculture[J].,2017,27(09):201-204.
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 水产养殖物联网系统集成与安全预警研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
27
期数:
2017年09期
页码:
201-204
栏目:
应用开发研究
出版日期:
2017-09-10

文章信息/Info

Title:
 Research on Integration of Internet of Things System and Security Early Warning in Aquaculture
文章编号:
1673-629X（2017)09-0201-04
作者:
 黄雅玉[1];  鄂旭[1][2] ; 杨芳[3] ; 周津[1] ; 盖佳妮[1]
 1.渤海大学 教育学院,；2.渤海大学 信息科学与技术学院；3.渤海大学 实验管理中心
Author(s):
 HUANG Ya-yu[1];  E Xu[1][2] ; YANG Fang[3];  ZHOU Jin[1] ; GAI Jia-ni[1]
关键词:
 ; 信息感知; 系统集成; 无线采集; 无线汇聚节点; 最小二乘支持向量回归机
Keywords:
 ; information perception; system integration; wireless data acquisition; wireless sink node; least squares support vector regres-sion machine
分类号:
TP301
文献标志码:
A
摘要:
 中国是水产养殖大国,总产量连续多年位居世界第一位.但是国内水产养殖业发展却是以消耗和占用大量资源为代价的,生态失衡和环境恶化问题日益凸显.为此,针对水产品安全系数低、养殖过程智能化程度低的状况,提出了基于信息感知的水产养殖物联网系统集成与安全预警方法.以系统集成为指导思想,以集约化水产养殖的水质监控设备为研究对象,将在线智能诊断技术应用在水质监控系统中,通过建立信息传输技术体系架构,利用信息参数的无线数据传输、自动信息采集节点等技术,精确可靠地获得了养殖参数信息,并通过系统结构和预测预警方法的设计,实现了水产养殖智能化和自动化运行.研究结果表明,该系统集成理念与安全预警方法是可行和有效的,并且对于其他的类似应用也具有借鉴价值.
Abstract:
 China is the biggest aquaculture country in the world,in which gross product has been the most for many years. However,since Chinese aquaculture has been developed at the cost of consuming and occupying large amount of nature resource,the problems of ecologi-cal imbalance and deterioration of the nature environment have become more and more prominent. Therefore,in view of the situation of low aquaculture safety factor and low intelligent level in breeding process,a method of system integration and security prediction of aqua-culture Internet of Things based on system perception is proposed,in which with system integration as guiding ideology and intensive aq-uaculture water quality monitoring equipments as investigated objects,the online intelligent diagnosis technology is applied in water quali-ty monitoring system. The breeding parameter information has been acquired in an accurate and reliable way via establishment of informa-tion system structure with transmission technologies and adoption of wireless data transmission of information parameter,automatic infor-mation collection node and other technologies. System structure,prediction and early warning methods have been designed and intelligent and automatic operation of aquaculture has been implemented eventually. The research shows that it is feasible and effective,which is of reference value for other similar applications.

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更新日期/Last Update: 2017-10-26