基于物联网的南美白对虾环境监控系统设计  

Design of environmental monitoring system for Penaeus vannamei based on Internet of things

作　　者：田野[1] 方磊[2] 魏芳芳[1] 郑文炳 王建平 

机构地区：[1]中国农业大学信息与电气工程学院,北京100083 [2]宁波大学海洋学院,浙江315211 [3]宁波市海洋与渔业研究院,宁波315012

出　　处：《渔业信息与战略》2017年第1期38-43,共6页Fishery Information & Strategy

基　　金：宁波市生态循环农业项目(2013ST001);宁波市农科教结合项目(2010NK38);宁波市农业择优委托项目(2011C11006);宁波市科技创新团队项目(2013B82012)

摘　　要：南美白对虾养殖水环境对南美白对虾的正常生长关系重大。依据分布于各养殖池内的传感器采集养殖水质参数,通过无线测控网络,实现水质参数的信息传输;采用B/S(浏览器/服务器)模式,开发了南美白对虾环境监控系统,实现水质参数在线监测、养殖知识浏览、课件下载、疾病预警与远程诊断等功能。白斑综合征是南美白对虾养殖最为严重的一种疾病,系统中构建了由水质参数和病源检测参数组成的四级预警指标体系,基于粗糙集理论建立了预警规则,利用物联网技术实现病害的自动预警,从而提高南美白对虾养殖的智能化管理水平。It is important to ensure healthy water environment for Penaeus vannamei. To accomplish information transmission of water quality parameters,a monitoring system for aquaculture environment based on the Internet of things is constructed,which obtains environmental parameters from the sensors in the breeding pond,through wireless monitoring and controlling networks. This system using B/S（ brower/server）mode combines image processing,rough set model and fuzzy diagnosis technology,which achieves real-time monitoring of aquaculture water environment,culture knowledge browsing,disease remote diagnosis and warning functions. White spot disease is one of the most serious diseases in P. enaeus vannamei farming. The system constructs main indexes for four-level early warning structure according to water quality parameters and pathogen detection through the theory of rough set,and early warning rules enable to provide real-time service.The detection results demonstrate that the system can improve the intelligent management of P. enaeus vannamei.

关 键 词：南美白对虾 物联网 粗糙集 疾病预警 

分 类 号：TP277[自动化与计算机技术—检测技术与自动化装置] S968.22[自动化与计算机技术—控制科学与工程]