Approach to Adapt a Legacy Manufacturing System Into the IoT Paradigm
Dublin Core
Title
Approach to Adapt a Legacy Manufacturing System Into the IoT Paradigm
Subject
Internet of Things
Legacy Systems
Manufacturing Systems
Description
Enterprises are adopting the Internet of Things paradigm as a strategy to improve competitiveness. But enterprises also need to rely on their legacy systems, which are of vital importance to them and normally difficult to reconfigure or modify, their mere replacement being usually not affordable. These systems constitute, therefore, barriers to agility and competitiveness, raising the need to develop cost-effective ways for IoT adaptation. An approach for adapting legacy manufacturing systems into the IoT realm is proposed in this research. The methodology is twofold: an adaptation board is firstly designed to provide IoT connectivity, allowing to remotely invoke the “legacy” functionality as services. Then, the board itself can leverage the legacy system by developing additional functionalities inside it, as the update process is usually triggered by the need of new functionality from these systems. An experiment, which consists of adapting to IoT a small distribution line that is controlled by an aged Programmable Logic Controller, is developed to illustrate how straightforward, affordable and cost effective the adaptation approach is, allowing to holistically achieve a new system with more sophisticated functionality.
Creator
Rosas, João
Brito, Vasco
Palma, Luis Brito
Barata, Jose
Source
International Journal of Interactive Mobile Technologies (iJIM); Vol. 11 No. 5 (2017); pp. 91-104
1865-7923
Publisher
International Association of Online Engineering (IAOE), Vienna, Austria
Date
2017-07-24
Rights
Copyright (c) 2017 João Rosas, Vasco Brito, Luis Brito Palma, Jose Barata
Relation
Format
application/pdf
Language
eng
Type
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Identifier
Citation
Jo Rosasão et al., Approach to Adapt a Legacy Manufacturing System Into the IoT Paradigm, International Association of Online Engineering (IAOE), Vienna, Austria, 2017, accessed November 24, 2024, https://igi.indrastra.com/items/show/1271