Optimising data visualisation in the process control and IIoT environments

IF 0.5 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC

International Journal on Smart Sensing and Intelligent Systems Pub Date : 2022-01-01 DOI:10.21307/ijssis-2021-022

Robin Maharaj, V. Balyan, Mohammed Tariq Khan

引用次数: 1

Abstract

Abstract In the present context of the 4th Industrial revolution, there is a growing need to get data from different data sources in a standard data format. This paper presents a solution to achieve this convergence in using IoT technology, extracting available data, and making it available to high-level systems in a standard, low latency framework. This paper presents different protocols like OPC UA, Message Queuing Telemetry Transport (MQTT), and Constrained Application Protocol(COAP) to achieve this data transportation/acquisition. It also presents an emerging Low Power Wide Area Network (LPWAN) technology, LoRa WAN, to augment the data of the process control system, explicitly extending the range of sensors to wireless data points.

查看原文本刊更多论文

优化过程控制和IIoT环境中的数据可视化

在第四次工业革命的背景下，人们越来越需要以标准的数据格式从不同的数据源获取数据。本文提出了一种解决方案，通过使用物联网技术实现这种融合，提取可用数据，并在标准的低延迟框架中将其提供给高级系统。本文提出了不同的协议，如OPC UA、消息队列遥测传输(MQTT)和约束应用协议(COAP)来实现这种数据传输/获取。它还提出了一种新兴的低功率广域网(LPWAN)技术，LoRa WAN，以增加过程控制系统的数据，明确地将传感器的范围扩展到无线数据点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

International Journal on Smart Sensing and Intelligent Systems ENGINEERING, ELECTRICAL & ELECTRONIC-

CiteScore

2.70

自引率

8.30%

发文量

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