基于物联网技术的锈斑蟳人工养殖环境监测  

Monitoring of Charybdis feriatus artificial breeding environment based on Internet of things technology

作　　者：邹雄[1] 杨明秋 蒲利云 陆建学[1] 夏连军[1] 刘鑫[1] ZOU Xiong;YANG Ming-qiu;PU Li-yun;LU Jian-xue;XIA Lian-jun;LIU Xin(East China Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences/Key Laboratory of East China Sea and Oceanic Fishery Resources Exploitation and Utilization,Ministry of Agriculture and Rural Affairs,Shanghai 200090,China;Hainan Academy of Ocean and Fisheries Sciences,Haikou 571126,China)

机构地区：[1]中国水产科学研究院东海水产研究所/农业农村部东海与远洋渔业资源开发利用重点实验室,上海200090 [2]海南省海洋与渔业科学院,海口571126

出　　处：《湖北农业科学》2023年第10期149-153,共5页Hubei Agricultural Sciences

基　　金：中央级公益性科研院所基本科研业务费专项资金(2019M08);海南省重点研发计划项目(ZDYF2021XDNY278)。

摘　　要：为提高锈斑蟳(Charybdis feriatus)人工养殖的质量,利用物联网技术对其环境监测系统进行设计。首先,对锈斑蟳人工养殖环境物联网远程监测系统进行设计,包括系统的总体结构、本地监控子系统、远程监控子系统以及水质监测系统。同时,针对水质检测中溶解氧预测,利用改进的LMBP(Levenberg-Marquardt Back Propagation)算法进行设计。结果表明,人工养殖环境监测系统能够较好实现锈斑蟳养殖环境的智能化控制,减少人力物力。此外,基于改进的LMBP算法能够对溶解氧进行较好地预测。In order to improve the artificial breeding quality of Charybdis feriatus,the environmental monitoring system would be studied and designed using the Internet of things technology.First of all,the remote monitoring system of the Internet of things for the artificial breeding environment of Charybdis feriatus was designed,including the design of the overall structure of the system,the local monitoring subsystem,the remote monitoring subsystem and the water quality monitoring system.In addition,for the prediction of dissolved oxygen data in water quality detection,the improved LMBP(Levenberg Marquardt Back Propagation)algorithm was used to design it.The results showed that the designed artificial breeding environment monitoring system could better realize the intelligent control of the breeding environment of Charybdis feriatus,and reduce human and material resources.In addition,the improved LMBP algorithm could better predict the dissolved oxygen.

关 键 词：锈斑蟳(Charybdis feriatus) 物联网 水质检测 LMBP 溶解氧 

分 类 号：S816.2[农业科学—饲料科学]