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RF FUNDAMENTALS FOR loT Class 3280.1

机译:标段3280.1射频基础

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With the Internet of Things(loT) and the emergence of the Industrial Internet of Things(MoT),a surge of innovation is occurring across the industry that connects an ecosystem of sensors,devices and equipment to a network that promises to improve asset utilization,enhance process efficiency and boost productivity.With the estimated number of connected"things"expected to reach over 25 billion by 2020',this provides an opportunity to change the way business is done.The loT Ecosystem,as depicted below in Figure 1,consists of Sensors,Gateways,Infrastructure,and of course,the flashy part of the loT Ecosystem,Big Data and Analytics.A speaker at a recent loT conference summed it up best with the statement"Big Data will be Big!“.The modeling of data supporting predictive analytics,whether it resides in the cloud or at the edge,gives organizations the ability to quickly diagnose and troubleshoot not only their sensor networks from a predictive maintenance perspective but also their operations,reducing excess use of energy and/or raw materials.
机译:随着物联网(loT)和工业物联网(MoT)的出现,整个行业正在兴起一股创新浪潮,将传感器、设备和设备的生态系统连接到一个承诺改善资产利用率、提高流程效率和提高生产率的网络。预计到2020年,互联“事物”的数量将超过250亿,这为改变商业运作方式提供了机会。如下图1所示,地块生态系统包括传感器、网关、基础设施,当然还有地块生态系统中浮华的部分、大数据和分析。在最近的一次loT会议上,一位发言者用“大数据将是大数据”的说法对其进行了最好的总结!“.对支持预测分析的数据进行建模,无论其位于云端还是边缘,都使组织能够从预测性维护的角度快速诊断和排除传感器网络故障,还可以对其操作进行诊断和排除故障,从而减少能源和/或原材料的过度使用。

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