设计工业物联网设备,使用LoRa物理层将数据直接解析到scada系统

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Robin Maharaj, V. Balyan, M. Kahn
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引用次数: 1

摘要

随着第四次工业革命的到来和提高生产力水平的需要,对数据分析的需求越来越大。应设法将传感器的范围扩大到当地系统和远程系统。本文在STM34F4开发板上实现了概念验证,以实现两种无线技术的性能,将传感器连接范围扩展到本地过程控制系统。研究的技术包括物理层LoRa节点、nrf2401l(一个2.4 GHz无线电模块)、4到20 mA转换器以及协议包装器和接口,以增强传统过程控制系统中的数据价值链。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of IIoT device to parse data directly to scada systems using LoRa physical layer
Abstract With the advent of the 4th Industrial revolution and the need to improve productivity levels, there is an increasing need for data analytics. Techniques should be pursued to extend the range of sensors both to Local systems and to remote systems. In this paper, the proof of concept is implemented on an STM34F4 development board to realise the performance of two wireless technologies to extend the range of sensor connectivity to a local process control system. The technologies investigated are physical layer LoRa nodes, nrf2401l (a 2.4 GHz radio module), 4 to 20 mA Converters together with protocol wrappers and interfaces to enhance the data value chain in a legacy process control system.
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来源期刊
CiteScore
2.70
自引率
8.30%
发文量
15
审稿时长
8 weeks
期刊介绍: nternational Journal on Smart Sensing and Intelligent Systems (S2IS) is a rapid and high-quality international forum wherein academics, researchers and practitioners may publish their high-quality, original, and state-of-the-art papers describing theoretical aspects, system architectures, analysis and design techniques, and implementation experiences in intelligent sensing technologies. The journal publishes articles reporting substantive results on a wide range of smart sensing approaches applied to variety of domain problems, including but not limited to: Ambient Intelligence and Smart Environment Analysis, Evaluation, and Test of Smart Sensors Intelligent Management of Sensors Fundamentals of Smart Sensing Principles and Mechanisms Materials and its Applications for Smart Sensors Smart Sensing Applications, Hardware, Software, Systems, and Technologies Smart Sensors in Multidisciplinary Domains and Problems Smart Sensors in Science and Engineering Smart Sensors in Social Science and Humanity
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