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作 者:叶芊芊[1] YE Qian-qian(Applied Engineering Department of Zhejiang Vocational College of Commerce,Hangzhou 310053,China)
机构地区:[1]浙江商业职业技术学院应用工程学院,浙江杭州310053
出 处:《传感器世界》2020年第7期20-24,共5页Sensor World
基 金:浙江省教育厅一般科研项目--“互联网+背景下基于NB-IoT的智能引导泊车系统研究”(No.Y201840167)。
摘 要:针对目前市场上泊车管理系统智能化程度有限、网络结构复杂、成本高、可靠性差等问题,本文介绍了一种基于NB-IoT(窄带物联网)技术的智能泊车系统设计方案。该方案采用低功耗嵌入式芯片结合地磁传感器构成终端节点对停车位进行监测与控制,读取停车位信息,通过NB-IoT通讯模块将数据传送至云端。云平台实时处理相关停车位的信息,上层软件实现车位查询、引导及支付等服务。重点研究了网络部署方案以及如何降低系统功耗的关键性问题,完成了终端节点硬件与软件的设计。系统采用优化的网络部署方式,终端设备全部采用低功耗器件,极大地提升了系统性能,降低了安装与运行的成本。Aiming at the problems of limited intelligence,complex network structure,high cost and poor reliability of parking management system in the market,this paper introduces a design scheme of intelligent parking system based on NB-IoT technology.The scheme uses lowpower embedded chip and geomagnetic sensor as terminal node to monitor and control the parking space,read the parking space information,and transmit the data to the cloud through NB-IoT communication module.The cloud platform processes the information of parking space in real time,and the upper layer software realizes the services of parking space inquiry,guidance and payment.The key problems of network deployment and reduce the power consumption of the system are studied,and the design of hardware and software of terminal node is completed.The system adopts optimized network deployment mode,and the terminal equipment adopt low-power devices,which greatly improves the system performance and reduces the installation and operation cost.
分 类 号:TP271.5[自动化与计算机技术—检测技术与自动化装置]
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