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基于物联网的海洋水文水质数据智慧化采集方案

An Intelligent Collection Solution for Marine Hydrological and Water Quality Data Based on Internet of Things
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摘要 针对海洋水文水质调查的现状与需求,结合先进的物联网(Internet of Things,IoT)技术与灵活的无人船装置技术,提出了一种适用于调查船作业的在线海洋水文水质智慧化采集方案。该方案支持两种调查作业模式(单船独空调查与多船协同调查),能够在线进行海洋水文水质数据的实时采集、处理、传输、存储、展示以及远程控制。最后,基于该方案设计并实现了一个在线海洋水文水质智慧化观测原型系统。实验结果表明,该原型系统能够对海洋水文水质状况进行实时的自动化观测,满足海洋调查中的基础水文水质数据的智慧化采集需求。并在较大程度上改善了现有传统调查方式时效性不足、成本高、观测过于分散等现状。 Based on the current situation and the needs of marine hydrology and water quality survey,combined with the advanced Internet of Things(IoT)technology and flexible unmanned ship device technology,this paper proposes an online marine hydrology and water quality data acquisition solution suitable for survey vessel operations.The solution supports two survey modes(single vessel independent survey and multi-vessel collaborative survey),and can conduct online real-time collection,processing,transmission,storage,display and remote control of marine hydrology and water quality data.Finally,an intelligent online observation system for the marine hydrology and water quality has been designed and implemented based on the aforementioned solution.The experimental results show that the prototype system can make real-time automatic observation of ocean hydrology and water quality,and can meet the requirements of intelligent collection of basic hydrology and water quality data in ocean survey.It also improves the current situation of insufficient timeliness,high cost and scattered observation of the existing traditional survey methods to a certain extent.
作者 李阳东 笪亨融 谢洋洋 李仁虎 漆林 LI Yangdong;DA Hengrong;XIE Yangyang;LI Renhu;QI Lin(College of Marine Science,Shanghai Ocean University,Shanghai 201306,China;Key Laboratory of Oceanic Fisberics Exploration,Ministry of Agriculture and Rural Afaires,Shanghai 201306,China;Key Laboratory of Sustainable Exploitation of Oceanic Fisheries Resources,Ministry of Education,Shanghai 201306,China;Shanghai Engineering Research Center of Estuarine and Oceanographic Mapping,Shanghai 201306,China)
出处 《海洋信息技术与应用》 2022年第2期8-17,共10页 JOURNAL OF MARINE INFORMATION TECHNOLOGY AND APPLICATION
基金 国家自然科学基全(41506211):国家重点研发计划(2019YFD0901404)。
关键词 海洋水文水质调查 物联网技术 传感器技术 无人船 marine hydrology and water quality survey internet of things technology LoRa sensor technology unmanned ship
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