Picot, H, Ateeq, M, Abdullah, B and Cullen, J (2019) Industry 4.0 – LabVIEW Based Industrial IoT Condition Monitoring System. In: 2019 12th International Conference on Developments in eSystems Engineering (DeSE) . (Developments in eSystems Engineering 2019 Robotics, Sensors and Industry 4.0, 07 October 2019 - 10 October 2019, Kazan, Russia).

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Abstract

As a result of a substantial shift in focus towards a more digital industry, multiple sectors of industry are now realising the potential of Industry 4.0 and Internet of Things (IoT) technology. The manufacturing industry in particular is subject to unexpected machine downtime from component wear over an extended period. With Industrial IoT (IIoT) technology implemented, there is the potential for gathering large quantities of data, which can be used for preventative maintenance. This research article addresses some of the technological requirements for developing an IoT industrial condition monitoring network, whose composition makes use of wireless devices along with conventional wired methods to enable a series of data capture and control operations in amongst a network of nodes. To provide a platform to host these operations, the industry standard fieldbus protocol Modbus TCP was used in conjunction with the LabVIEW development environment, where a bespoke graphical user interface was developed to provide control and a visual representation of the data collected. In addition, one of the nodes acted as the output for hardware displays, which in turn correlated the alarm status of the user interface. By using industry standard communication protocols, it was also possible to enable connectivity between real industry hardware, further extending the capabilities of the system.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Uncontrolled Keywords:	IIoT; Industry 4.0; Machine down-time; Modbus TCP; LabVIEW
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General)
Divisions:	Civil Engineering & Built Environment Electronics & Electrical Engineering (merged with Engineering 10 Aug 20)
Date Deposited:	10 Jan 2020 10:17
Last Modified:	20 Jun 2024 15:37
DOI or ID number:	10.1109/DeSE.2019.00189
URI:	https://researchonline.ljmu.ac.uk/id/eprint/11994

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