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作 者:寇芾 马占军 王硕 KOU Fu;MA Zhanjun;WANG Shuo(School of Information Science and Engineering,Dalian Ocean University,Dalian,Liaoning Province,116023 China)
机构地区:[1]大连海洋大学信息工程学院,辽宁大连116023
出 处:《科技资讯》2024年第19期79-81,85,共4页Science & Technology Information
基 金:大连海洋大学2023年大学生创新创业训练(项目编号:X202310158003)。
摘 要:随着全球水资源环境的恶化和水资源短缺,水质问题日益突出,并对人们的日常生活和社会发展产生严重影响。因此,对水资源进行监测和控制有利于人类健康与社会发展。目前,关于水质监测的研究已取得许多成果,窄带物联网(Narrow Band Internet of Things,NB-IoT)作为一种新兴技术,被广泛应用于水质监测领域。在过去的养殖方式中,养殖人员主要是依靠人为经验和天气情况进行养殖,不确定因素带来的损失巨大。现如今,养殖方式讲求智能化来保障水产品的质量与批量生产的速度。当下,可以将无线技术、人工智能、机械设备等技术应用于智慧水产养殖方面,来实现水产养殖简单化、高效化。With the deterioration of global water resources and the scarcity of water resources,water quality issues have become increasingly prominent,seriously affecting people′s daily lives and social development.Therefore,monitoring and controlling water resources is beneficial for human health and social development.At present,re⁃search on water quality monitoring has achieved many results,and Narrow Band Internet of Things(NB-IoT),as an emerging technology,is widely used in the field of water quality monitoring.In the past farming methods,farm⁃ers mainly relied on human experience and weather conditions for farming,and the losses caused by uncertain fac⁃tors were enormous.Nowadays,aquaculture methods emphasize intelligence to ensure the quality and speed of the mass production of aquatic products.Currently,wireless technology,artificial intelligence,mechanical equipment and other technologies can be applied to smart aquaculture to demonstrate simplicity and efficiency.
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