期刊论文

Cloud water quality monitoring system for field aquaculture based on heterogeneous network

中文

渔业现代化

1007-9580

2021

48

2

61-69

10.3969/j.issn.1007-9580.2021.02.010

湖南省科技计划项目（2016WK2023）； 长沙市科技计划项目（KQ1901139）；

本校为第一机构

池塘养殖对水质的实时状况较为敏感,因此对水质监控系统提出了严格要求。针对池塘养殖所面对的野外复杂环境,设计了一种基于LoRa协议与ZigBee协议的异构传感网络水质监控系统。该系统利用水质监测传感器与异构无线传感网络对溶氧、pH及水温等参数进行采集与传输,并通过云端服务器平台实现了远端数据的存储、监控。在通信距离达5 km的野外环境中搭建测试系统进行试验。经过30 d模拟工作测试,本研究设计的水质监控系统具有监测范围广、搭建成本低、工作稳定等优点。同时测量误差最大方差为3.88%,时延误差小于1%,能够充分满足池塘养殖对水质监控的需求。

Pond aquaculture is sensitive to the real-time water quality, so strict requirements are put forward for the water quality monitoring system.A heterogeneous sensor network water quality monitoring system based on the LoRa protocol and ZigBee protocol is designed for the complex field environment of pond aquaculture. The system uses water quality monitoring sensors and heterogeneous wireless sensor network to collect and transmit dissolved oxygen,pH,and water temperature.Remote data storage and monitoring are realized through the cloud server platform.The test system was set up in the field env...