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作 者:康云川 钟静[1] KANG Yunchuan;ZHONG Jing(School of Computer Science and Engineering,Chongqing Three Gorges University,Chongqing 404120,China)
机构地区:[1]重庆三峡学院计算机科学与工程学院,重庆404120
出 处:《电讯技术》2020年第10期1155-1162,共8页Telecommunication Engineering
基 金:重庆市教育委员会科学技术研究项目(KJQN201901205)。
摘 要:为解决目前水情监测系统中存在通信距离受限、功耗大、成本高、无法泛组网的问题,提出了一种基于LoRa(Long Range)扩频技术的水情监测与预警系统。通过采用新型的LoRa无线扩频技术,使用无线传感器网络自适应占空比协议优化网络性能与功耗,并结合当前流行的微控芯片、传感器与阿里云物联网(Internet of Things,IoT)平台,构建了一套覆盖范围广、低功耗、低成本、组网灵活简单、能远距离通信、抗干扰能力强的水情远程监测与预警系统。系统设计完成后,在长江水域重庆段对系统进行了测试,验证了系统设计的可行性、组网通信的有效性以及远距离传输数据的特性,为水文水情数据的自动化远程监测提供了一种新的技术方案。In order to solve the problems of limited communication distance,high power consumption,high cost and inability to pan-network in current water condition monitoring systems,a water condition monitoring system based on Long Range(LoRa)modulation technology is proposed.By adopting the new LoRa wireless spread spectrum technology and using the wireless sensor adaptive duty ratio protocol to optimize the network performance and power consumption,the current popular development board,sensors and Aliyun Internet of Things(IoT)platform are combined to construct a set of the remote water condition monitoring and warning system,which is featured by low power consumption,low cost,flexible and simple network,strong anti-interference ability.The system designed was tested in Chongqing section of the Yangtze River and the feasibility of the system design,the effectiveness of network communication,and the characteristics of long-distance data transmission were verified.It provides a new technical scheme for the automatic remote monitoring of hydrologic data.
分 类 号:TN914.42[电子电信—通信与信息系统]
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