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基于LoRa的低功耗水产养殖水质监测系统设计 被引量:27

LoRa-based low power consumption aquaculture water quality monitoring system design
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摘要 针对水产养殖无线水质监测系统通信距离短、功耗高、网络复杂的问题,提出了一种新型的水产养殖水质监测系统。将STM8L低功耗微控制器作为核心,结合LoRa调制技术自定义网络通信协议,设计了低功耗远距离的无线传感器网络节点,完成了对水产养殖水质参数的采集与传输。重点介绍了软硬件的低功耗设计,进行了系统能量消耗和通信距离的测试。实验结果表明:水质监测系统在覆盖范围和功耗上优势明显。LoRa通信技术给未来组建大规模、低功耗无线传感器网络提供了可能性,在智慧农业上有很好的推广价值。 Aiming at the problems of short communication distance,high power consumption and complicated network of aquaculture wireless water quality monitoring system,a novel aquaculture water quality monitoring system is proposed.Taking the STM8L low power consumption microcontroller as the core and combining with the LoRa modulation technology to customize the network communication protocol,wireless sensor networks(WSNs)node with low power consumption and long distance is designed,and the collection and transmission of water quality parameters for aquaculture are completed.Low power consumption design of hardware and software is introduced.System energy consumption,communication distance are tested.The experimental results show that the water quality monitoring system has obvious advantages in coverage range and power consumption.LoRa communication technology provides possibilities for the formation of large-scale low power consumption WSNs in the future,and has a very good promotion value in smart agriculture.
作者 张琴 戴阳 杨胜龙 张衡 崔雪森 ZHANG Qin;DAI Yang;YANG Shenglong;ZHANG Heng;CUI Xuesen(Key Laboratory of East China Sea & Oceanic Fishery Resources Exploitation and Utilization,Ministry of Agriculture,East China Sea Fisheries Research Institute,Chinese Academy of Fishery Sciences,Shanghai 200090,China;College of Engineering Science and Technology,Shanghai Ocean University,Shanghai 201306,China)
出处 《传感器与微系统》 CSCD 2019年第11期96-99,共4页 Transducer and Microsystem Technologies
基金 中国水产科学研究院基本科研业务费资助项目(2017HY—ZD0802) 上海市自然科学基金资助项目(18ZR1449800)
关键词 LoRa技术 水质监测 低功耗 时分多址 无线传感器网络 LoRa technology water quality monitoring low power consumption time division multiple access(TDMA) wireless sensor networks(WSNs)
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