Home // IARIA Congress 2023, The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications // View article
Authors:
Angel Luis Garrido
Jonathan Rodríguez
Mariano Sánchez
José Manuel Antón
Roberto Castán
Susana Sangiao
Carlos Bobed
Eduardo Mena
Keywords: Sensors; Knowledge-Based Systems; Internet of Things; Machine Learning.
Abstract:
Today, manufacturing companies have technologies that allow them to monitor the different processes carried out in their facilities. These technologies, based on Real-Time Operating Systems and Internet of Things paradigms, are mature, and their application is widespread in different sectors. The problems come when factories own old machinery and legacy systems, and when the processes are poorly automated, which is a typical scenario in the graphic arts industry. To solve this situation, we propose a comprehensive management framework that obtains real-time information through Sensing systems and Artificial Intelligence technologies. The advantages obtained are the unification of information, the simplification of obtaining information by different departments, the automation of processes, and the support in planning tasks. We are currently testing our proposal in a real environment with promising results.
Pages: 121 to 122
Copyright: Copyright (c) IARIA, 2023
Publication date: November 13, 2023
Published in: conference
ISBN: 978-1-68558-089-6
Location: Valencia, Spain
Dates: from November 13, 2023 to November 17, 2023