Development and Implementation of a Scalable and Replicable Industrial Environment at Low Cost to Control an Industrial Process

Serpa Andrade Luis, Mata Quevedo Paul, Fernando Guerrero Vasquez, Roberto Garcia Velez, Sandro Gonzalez Gonzalez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Automation systems allow the processes to be efficient; however, they are expensive, and an automation process is proposed at low cost, through the use of open-source tools considering all the variables necessary for its optimal operation, and whose results are intended to be replicable and scalable in different processes of an industrial plant. Of course, it contains the design, development, and implementation of three human–machine interfaces that facilitate the control and monitoring of each of the variables and states of the process. These interfaces are segmented as follows. The first one proposes the use of a chatbot that, on the one hand, allows remote control instructions to be sent to the process, while, on the other hand, it can receive information on the status of the process, either by request, or automatically, considering cases of alarms. The second interface is related to the use of a voice assistant allowing to connect with the user bidirectionally with the process through voice commands using natural language. The third interface is related to the use of augmented reality techniques to access process information. In general, the project seeks to present an alternative solution for the implementation of automated industrial processes, focusing its focus, on the one hand, on reducing costs without altering the characteristics of an industrial automatization, while on the other hand, it seeks to incorporate new interfaces, that seek to reduce operator–machine interaction times resulting in greater efficiency and autonomy of the process.

Original languageEnglish
Title of host publicationProceedings of 8th International Congress on Information and Communication Technology - ICICT 2023
EditorsXin-She Yang, R. Simon Sherratt, Nilanjan Dey, Amit Joshi
PublisherSpringer Science and Business Media Deutschland GmbH
Pages971-977
Number of pages7
ISBN (Print)9789819930906
DOIs
StatePublished - 2023
Event8th International Congress on Information and Communication Technology, ICICT 2023 - London, United Kingdom
Duration: 20 Feb 202323 Feb 2023

Publication series

NameLecture Notes in Networks and Systems
Volume694 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

Conference8th International Congress on Information and Communication Technology, ICICT 2023
Country/TerritoryUnited Kingdom
CityLondon
Period20/02/2323/02/23

Bibliographical note

Publisher Copyright:
© 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Keywords

  • Chatbot
  • Commands voice
  • Human–machine interface
  • Industrial process
  • Low-cost tools

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