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Design of Indoor Temperature Monitoring System based on Narrowband Internet of Things

机译:基于窄带物联网的室内温度监测系统设计

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Narrow-band Internet of Things (NB-IoT), one of the emerging paradigms of low power wide area networks (LPWAN) for Internet of Things (IoT), has been envisioned as a promising solution to enable massive connectivity, cost-efficient, and highly reliable Internet of Thing (IoT) systems in future smart cities. In this work, we build up an indoor environment-temperature monitoring system based on NB-IoT. We present a detailed design of our system and illustrate the key technologies. Based on our system and the collected data (i.e., the temperature data), we further design an abnormality-detection mechanism based on the support vector machine (SVM). We provide experimental results to show the performance of our designed system and the proposed abnormality-detection mechanism.
机译:窄带物联网(NB-IoT)是物联网(IoT)的低功耗广域网(LPWAN)新兴范式之一,已被视为一种有前途的解决方案,可实现大规模连接,经济高效,以及未来智慧城市中高度可靠的物联网(IoT)系统。在这项工作中,我们建立了一个基于NB-IoT的室内环境温度监控系统。我们介绍系统的详细设计并说明关键技术。基于我们的系统和收集的数据(即温度数据),我们进一步设计了基于支持向量机(SVM)的异常检测机制。我们提供实验结果,以显示我们设计的系统和建议的异常检测机制的性能。

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