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RSSI-Based Evaluation of Wireless Personal Area Networks Nodes Noise Immunity in Industrial Buildings

机译:基于RSSI的无线个人区域网络节点在工业建筑中的噪声免疫评估

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Results of a study of the influence of manufacturing environment factors on wireless personal networks are presented in the paper. A classification of such factors is proposed, and the noise immunity of wireless personal networks is determined using a real production as an example. A method for evaluating noise immunity based on a received signal strength indicator (RSSI) is proposed. RSSI values can be obtained natively from almost any receiver and transmitter, which makes this method affordable compared to using network analyzers and other specialized equipment. In the conducted experiment the receiver and transmitter were located at a distance ranging from 0.5 to 25 m from each other. The act of signal transfer was carried out alternately under the influence of each production environment factor. Then measured RSSI values were analyzed and converted into the maximum permissible distance between the receiver and the transmitter in accordance with the proposed method. As a result, data on the influence of a production environment on the noise immunity of wireless personal networks was obtained. Nevertheless, it is concluded that the influence is not significant enough to decide against the use of wireless personal networks, since the influence of many factors can be offset by the use of mesh topology and a dense arrangement of receivers and transmitters. The results are particularly interesting in the context of manufacturing digitalization, where the wireless method of data transmission from field level sensors becomes preferable to the wired due to the requirement for flexibility and mobility of a production process.
机译:本文介绍了对无线个人网络的制造环境因素影响的研究结果。提出了这种因素的分类,并且使用真实生产来确定无线个人网络的抗噪性作为示例。提出了一种基于接收信号强度指示符(RSSI)的评估噪声抗扰度的方法。可以从几乎任何接收器和发射器本地获得RSSI值,这使得该方法与使用网络分析仪和其他专业设备相比承受了实惠。在进行的实验中,接收器和发射器位于距离彼此0.5至25米的距离。信号转移的行为在每个生产环境因素的影响下交替进行。然后,根据所提出的方法分析测量的RSSI值并转换为接收器和发射器之间的最大允许距离。结果,获得了关于生产环境对无线个人网络噪声抗扰度的影响的数据。然而,得出结论,影响不足以决定使用无线个人网络的影响不足,因为许多因素的影响可以通过使用网格拓扑和接收器和发射器的密集布置来抵消。在制造数字化的背景下,结果特别有趣,其中由于需要对生产过程的灵活性和移动性的要求,从现场等级传感器的无线数据传输的无线方法优于有线。

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