Skip navigation

Modern human machine interface in industrial wireless networks

Modern human machine interface in industrial wireless networks

Qureshi, Athar, Rapajic, Predrag and Demaiter, Lysander (2016) Modern human machine interface in industrial wireless networks. International Journal of Simulation: Systems, Science & Technology, 17 (33). pp. 1-9. ISSN 1473-8031 (Print), 1473-804x (Online) (doi:https://doi.org/10.5013/IJSSST.a.17.33.13)

[img]
Preview
PDF (Publisher's PDF - Open Access)
15782 QURESHI_Modern_Human_Machine_Interface_2016.pdf - Published Version

Download (776kB) | Preview

Abstract

This paper presents several existing experimental setups on latest industrial systems and provide comparison of advantages and disadvantages of different HMI implementation. It proposes a simple and low cost HMI system for automation by using remote software application. The method does not required specific software package from vendors, hence provide a low cost and easily available solutions for control. We have examined their switching on various wireless technologies including Bluetooth, Infrared, Wi-Fi and Cellular Mobile Systems. The presented HMI provide effective and inexpensive control of automation systems by using remote software packages on the mobile phone, tablet and laptop. This paper presents several experiments on HMIs. The first set of experiments are related existing HMI systems on latest Siemens TIA Portal software and hardware. The second set of experiments presents the developed method of HMI switching and control by using remote communication software; Vectir and Teamviewer over different industrial wireless technologies.

Item Type: Article
Additional Information: This research work is generously funded by i-MOCCA, INTERREG-IV Project and University of Greenwich, UK, from October, 2011 to September, 2013. It was presented in the IMOCCA Conference, University of Greenwich, UK.
Uncontrolled Keywords: HMI; SCADA; Remote Control; Industrial Wireles; Communication
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
S Agriculture > SB Plant culture
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agricultural Biosecurity Research Group
Related URLs:
Last Modified: 18 Sep 2017 11:09
Selected for GREAT 2016: GREAT b
Selected for GREAT 2017: GREAT b
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/15782

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics