摘要
针对海域养殖区恶劣监测环境需求,设计了基于LoRa传感器网络+5G的远程水产养殖物联网环境监测系统。系统终端监测区域节点采用LoRa通信方式实现低功耗自组网,网关采用LoRa+5G的异构通信方式实现远程数据传输。系统实时采集溶解氧、氨氮、总磷等水质参数,通过网关利用5G基站上传至管理中心服务器,服务器对数据进行分析处理,并在web端发布。系统经实地测试,节点可靠通信范围可达4 km,在未更换电池的情况下工作时间可超过半年;在持续工作的90天里,丢包率为1.46%,能够满足长期监测需求;节点数据与实地测量对比误差均在允许范围内;web端数据更新及时。系统实现了海洋环境下低功耗远程数据采集、处理与发布,而且实时性好,网络延迟低。
In view of the poor monitoring environment of Marine breeding areas,a remote marine monitoring system based on LoRa sensor network and 5G technology is designed.The end devices of the system adopt LoRa communication mode to build a low-power network in the monitoring area.The gateway adopts heterogeneous communication mode of LoRa and 5G to transmit data remotely.The system collects dissolved oxygen,ammonia nitrogen,total phosphorus and other marine data in real time,then uploades them to the server of the management center through gateway and 5G base station.The server processes data,and publishes them on the website.Through the actual experiment,it is determined that the reliable communication range between end device and gateway can reach 4 km.The end devices can work for more than half a year without the need to charge the battery.Within 90 days of continuous working,the packet loss rate of system is 1.46%,which can meet the need of long-term monitoring.The comparison error between data collected by the end devices and actual measured data is within the allowed range.The system can collect,process and publish data remotely in the marine environment with low power consumption,and has good real-time performance and low network delay.
作者
葛建新
陈柄才
王骥
GE Jianxin;CHEN Bingcai;WANG Ji(College of Electronic and Information Engineering,Heyuan Vocational and Technical College,Heyuan Guangdong 517000,China;Research Center of Guangdong Smart Oceans Sensor Networks and Equipment Engineering,Zhanjiang Guangdong 524088,China;School of Computer Science,Guangdong Ocean University,Zhanjiang Guangdong 524088,China)
出处
《电子器件》
CAS
北大核心
2022年第6期1503-1509,共7页
Chinese Journal of Electron Devices
基金
2020广东省普通高校新一代信息技术重点领域专项(2020ZDZX3008)
2019广东省普通高校人工智能领域重大专项(2019KZDZX1046)。
关键词
海域养殖区环境监测
海洋物联网
LoRa
5G
marine aquaculture regional environmental monitoring
wireless sensor network
LoRa
5G
