Platform for intelligent management of Industrial Machinery based on service-oriented architecture

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Title: Platform for intelligent management of Industrial Machinery based on service-oriented architecture
Authors: Herrera Quintero, Luis Felipe | Berenguer Miralles, Vicente | Restrepo Calle, Felipe | Gómez Hernández, Raúl | Gilart, Virgilio | Maciá Pérez, Francisco
Research Group/s: GrupoM. Redes y Middleware | Ingeniería Bioinspirada e Informática para la Salud
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Embedded systems | Agile manufacturing | Business processes management | BPMS | BPEL
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 2008
Publisher: World Scientific and Engineering Academy and Society (WSEAS)
Citation: HERRERA QUINTERO, Luis Felipe, et al. “Platform for intelligent management of Industrial Machinery based on service-oriented architecture”. En: Distance learning, multimedia and video technologies : proceedings of the 8th WSEAS International Conference on Distance Learning and Web Engineering (DIWEB '08), Santander, Cantabria, Spain, September 23-25, 2008. [S.l.] : WSEAS, 2008. ISBN 978-960-474-005-5, pp. 121-127
Abstract: In this paper, we present a platform designed and implemented for the practical management of industrial machinery, which provides through an organization orientated to services the processes of selfmanagement and proactive management of industrial machinery. This platform allows to establish several relationships with the services offered by the machine, which makes possible that the machines can communicate and cooperate between itself or with other elements of production. The platform that was made, is based on service-oriented architecture (SOA) and Web services in order to obtain that the industrial machine provide high levels of selfmanagement and overcome the barriers imposed by the physical and technological restrictions which prevent to these components achieve the transparent integration of industrial machine with the business processes of the organization.
URI: http://hdl.handle.net/10045/15548
ISBN: 978-960-474-005-5
ISSN: 1790-5109
Language: eng
Type: info:eu-repo/semantics/bookPart
Rights: Copyright © 2008 WSEAS
Peer Review: si
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