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边缘算力在智能水产养殖方面研究与应用OA北大核心CSTPCD

Application of edge computing power in intelligent aquaculture

中文摘要英文摘要

为了减少水产养殖污染,保证养殖生态系统的安全,提高生态环境质量,利用物联网技术设计并实现一种水产养殖智能监控系统.该系统通过智能传感器终端实现对养殖区域水质的溶氧、pH、水温、光照度、环境温度、环境湿度等参数的实时采集、远程显示和自动控制,实现远程智能养殖.同时,系统利用树莓派作为边缘算力设备,从感知层、传输层、边缘计算层、应用层四个主要方面对系统进行说明,通过智能算法实现实时精细化管理资源的目标,使数据可视、可信,进一步探究水产养殖方面进行智能化协同化的可行性.研究表明,该系统在实物模型上运行稳定、感知准确、控制及时和扩展性强等优点,可在水产养殖中进行推广和应用.

To reduce environmental pollution in aquaculture,ensure the safety of the aquaculture ecosystem,and improve the quality of the ecological environment,this article uses Internet of Things technology to design and implement an intelligent monitoring system for aquaculture.The system achieves real-time collection,remote display,and automatic control of dissolved oxygen,pH value,water temperature,light intensity,environmental temperature,and humidity parameters in the aquaculture area through intelligent sensor terminals,achieving remote intelligent aquaculture of aquatic products.At the same time,the system uses Raspberry Pie as the edge computing device to explain the system from four main aspects:the perception layer,the transport layer,the edge computing layer,and the application layer.Through intelligent algorithms,the system realizes real-time fine management of resources,making data visible and credible,and further explores the feasibility of intelligent and collaborative aquaculture.The practice has shown that the system has advantages such as stable operation,accurate perception,timely control,and strong scalability on physical models,and can be promoted and applied in aquaculture.

张锋;黄自强;申启杨;邓春辉

广东石油化工学院电子信息工程学院,广东 茂名 525000

水产学

边缘算力;智能算法;物联网技术;水产养殖

edge cumputing power;smart algorithms;LoT technology;aquaculture

《渔业现代化》 2024 (002)

53-60 / 8

国家自然科学基金资助项目(61272382);国家青年自然科学基金资助项目(6140110);广东省教育厅科研基金资助项目(2021ZDZX1074);茂名市科技计划项目基金资助项目(201513);广东省大学生创新创业项目(73322059)

10.3969/j.issn.1007-9580.2024.02.007

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