杜兴林¹, 刘春娥¹, 张启宇¹, 刘峰¹, 宋玉娥², 王承国¹
1.中国农业大学烟台研究院, 山东 烟台 264670;2.北京工业职业技术学院电气与信息工程学院, 北京 100042

摘要:
海带（Laminaria japonica）是一种重要的食用藻类，在其生产过程中，育苗是最基础的环节。在海带育苗过程中光照强度因其变化性强、对幼苗影响显著等特点，被看作是一个重要监测指标。针对目前海带育苗光照强度监测方式落后、准确度和效率低的问题，本文基于相关研究成果，设计了一套由Wi-Fi通信和无线局域网加互联网通信方式组成的海带育苗光照强度监测系统。系统以移动客户端应用为主要业务控制中心，依据光照强度传感器、气象工作站等设备获取海带育苗车间内的光照情况以及外部环境参数，通过无线网关节点实现育苗环境信息和远程服务器的信息交换。通过开发系统应用层，实现移动设备客户端远程监控海带育苗光照参数的变化。实际的模拟生产测试表明，该系统性能稳定，实时监测、警报功能达到使用要求，提升了海带育苗生产的信息化水平，可对推动海带等藻类的精准养殖提供一定的参考。
关键词:海带育苗光照强度监测系统物联网
DOI：10.11759/hykx20191226004
分类号:S951.2
基金项目:山东省重点研发计划（2018GHY115028）；山东省海洋与渔业科技创新计划项目（201847）；中国农业大学烟台研究院校内科研基金项目（YT201805）；北京工业职业技术学院重点课题（BGZYKY201820Z）

Design and implementation of illumination monitoring system for kelp seedling cultivation
DU Xing-lin¹, LIU Chun-e¹, ZHANG Qi-yu¹, LIU Feng¹, SONG Yu-e², WANG Cheng-guo¹
1.Yantai Academy, China Agricultural University, Yantai 264670, China;2.School of Electrical and Information Engineering, Beijing Polytechnic College, Beijing 100042, China
Abstract:
The most basic step in the production of kelp, an important edible algae variety, is the cultivation of kelp seedlings. In the kelp seedling cultivation process, illumination intensity is considered a key monitoring indicator owing to its strong variability and significant impact. To address the lack of sophistication, inaccuracy, and inefficiency of current methods for monitoring kelp seedling illumination intensity, we built an advanced monitoring system for this purpose based on relevant research results. This system uses Wi-Fi communication and wireless LAN plus internet communication with mobile client applications as the main business control center. This center monitors the illumination conditions and retrieves external environmental parameters from the illumination sensor, weather station, and other equipment in the kelp seedling nursery. Information about the seedling environment is provided to a remote server through the wireless node. Through the development of the system application layer, changes in the illumination parameters of the kelp seedlings are monitored by the client's mobile device. The results of our simulation production test indicate that the proposed system is stable, its real-time monitoring and alarm functions meet system requirements, and the informatization level of kelp seedling production is improved. This study provides certain reference for promoting the accurate cultivation of kelp and other algae.
Key words:kelp seedlingillumination intensitymonitoring systeminternet of things





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