LAAS-CNRS, Université de Toulouse, CNRS, INSA, UPS, 31400 Toulouse, France.
Department of Engineering, University of Cambridge, Cambridge CB3 0FF, UK.
Sensors (Basel). 2019 Mar 28;19(7):1510. doi: 10.3390/s19071510.
This paper addresses the practical implementation of a wireless sensors network designed to actualize cyber-physical systems that are dedicated to structural health monitoring applications in the construction domain. This network consists of a mesh grid composed of LoRaWAN battery-free wireless sensing nodes that collect physical data and communicating nodes that interface the sensing nodes with the digital world through the Internet. Two prototypes of sensing nodes were manufactured and are powered wirelessly by using a far-field wireless power transmission technique and only one dedicated RF energy source operating in the ISM 868 MHz frequency band. These sensing nodes can simultaneously perform temperature and relative humidity measurements and can transmit the measured data wirelessly over long-range distances by using the LoRa technology and the LoRaWAN protocol. Experimental results for a simplified network confirm that the periodicity of the measurements and data transmission of the sensing nodes can be controlled by the dedicated RF source (embedded in or just controlled by the associated communicating node), by tuning the radiated power density of the RF waves, and without any modification of the software or the hardware implemented in the sensing nodes.
本文介绍了一个无线传感器网络的实际实现,该网络旨在实现专门用于建筑领域结构健康监测应用的信息物理系统。该网络由一个由 LoRaWAN 无电池无线传感节点组成的网格组成,这些节点收集物理数据,通信节点通过互联网将传感节点与数字世界连接起来。制造了两个传感节点原型,并使用远场无线功率传输技术无线供电,仅使用一个工作在 ISM868MHz 频段的专用射频能量源。这些传感节点可以同时进行温度和相对湿度测量,并通过使用 LoRa 技术和 LoRaWAN 协议,将测量数据无线传输到长距离。简化网络的实验结果证实,传感节点的测量和数据传输的周期性可以通过专用射频源(嵌入或仅由相关通信节点控制)来控制,通过调整射频波的辐射功率密度,而无需对传感节点中实现的软件或硬件进行任何修改。