Revista ELECTRO
Vol. 42 – Año 2020
Artículo
TÍTULO
Estructura Flexible para Integración de Piso de Producción Dirigida a Industria 4.0
AUTORES
Acosta Cano de los Ríos José Eduardo, Morales Pérez Luis Manuel
RESUMEN
El presente trabajo expone los antecedentes para los enfoques de la industria 4.0 tomando como referencia el modelo de RAMI4.0 como fundamento para la integración de pisos de producción. Se propone una estructura para la integración de los elementos del sistema de producción con base en la dimensión jerárquica propuesta en RAMI 4.0. Se desarrolló una estructura de integración entre los niveles de dispositivos de campo, dispositivos de control, estaciones de trabajo, células de producción y empresa conectada. A su vez la estructura desarrollada se implementó en los entornos de PC y sistemas embebidos como Raspberr y Pi. La estructura desarrollada provee una base para procesos dirigidos por modelo, virtualización de pisos de producción, minería de datos o la posible implementación de inteligencia artificial. Con esto se logra aumentar la autonomía de los sistemas de producción y la flexibilidad para sistemas en IoT.
Palabras Clave: RAMI4.0, Automatización, IoT, Virtualización
ABSTRACT
The present work exposes the background for the industry 4.0 approaches taking as a reference the RAMI4.0 model as a basis for production floors implementation. An architecture for element production system integration based on the RAMI 4.0 dimension is proposed. It is also developed an integration architecture among levels such as field devices, control devices, work stations, production cells and connected enterprises. The developed architecture is implemented in environments such as PC and embedded systems like Raspberry Pi. The developed architecture creates a base for model driven processes, production floor virtualization, da ta mining as well as the possibility for artificial intelligence implementation. The proposed applications and architecture supports the autonomy of production systems and flexibility for IoT systems.
Keywords: RAMI4.0, Automatization, IoT, Virtualization
REFERENCIAS
[1] PEDONE, Gianfranco; MEZGÁR, István. Model similarity evidence and interoperability affinity in cloud-ready In dustry 4.0 technologies. Computers in industry, 2018, vol. 100, p. 278-286.
[2] K. Suri, J. Cadavid, M. Alferez, S. Dhouib and S. Tucci-Piergiovanni, "Modeling business motivation and underlying processes for RAMI 4.0-aligned cyber-physical production systems, " 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Limassol, 2017, pp. 1-6, doi: 10.1109/ETFA.2017.8247702.
[3] SOSA-REYNA, Claudia M.; TELLO-LEAL, Edgar; LARA-ALABAZARES, David. Methodology for the model-driven development of service oriented IoT applications. Journal of Systems Architecture, 2018, vol. 90, p. 15-22.
[4] F. Ciccozzi, I. Crnkovic, D. Di Ruscio, I. Malavolta, P. Pelliccione and R. Spalazzese, "Model-Driven Engineering for Mission-Critical IoT Systems," in IEEE Software, vol. 34, no. 1, pp. 46-53, Jan.-Feb. 2017.
[5] X. T. Nguyen, H. T. Tran, H. Baraki and K. Geihs, "FRASAD: A framework for model-driven IoT Application Development," 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), Milan, 2015, pp. 3 87-392, doi: 10.1109/WF-IoT.2015.7389085.
[6] F. Oquendo, "Software architecture of self-organizing systems-of-systems for the Internet-of-Things with SosADL," 2017 12th System of Systems Engineering Conference (SoSE), Waikoloa, HI, 2017, pp. 1-6, doi: 10.1109 /SYSOSE.2017.7994959.
[7] J. Acosta, L. Morales, “IoT en manufactura, retos de integracion” Oct 2019 41 congreso electro, Chihuahua Chih. ISSN 1405 2172.
[8] ONTIVEROS ROACHO, CARLOS IVÁN. DESARROLLO DE UN EMULADOR DE UN SISTEMA DE PRODUCCIÓN DISCRETA CON BASE EN IMRP UTILIZANDO LA OPERACIÓN DIRIGIDA POR MODELO. 2017. Tesis Doctoral. UNIVERSIDAD AUTONOMA DE CHIHUAHUA.
[9] R. Ke, Y. Zhuang, Z. Pu and Y. Wang, "A Sma rt, Efficient, and Reliable Parking Surveillance System With Edge Artificial Intelligence on IoT Devices," in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2020.2984197.
[10] A. B. Khudhair and R. F. Ghani, "IoT Based Smart Video Su rveillance System Using Convolutional Neural Network," 2020 6th International Engineering Conference “Sustainable Technology and Development" (IEC), Erbil, Iraq, 2020, pp. 163-168, doi: 10.1109/IEC49899.2020.9122901.
[11] M. O. Shafiq, Y. Ding and D. Fensel, "B ridging Multi Agent Systems and Web Services: towards interoperability between Software Agents and Semantic Web Services," 2006 10th IEEE International Enterprise Distributed Object Computing Conference (EDOC'06), Hong Kong, 2006, pp. 85-96.
[12] JOSHI, Jitendr a. A Survey on Uses of Data Mining Technology for IoT Services. International Journal of Innovative Computer Science & Engineering, 2020, vol. 7, no 2.
CITAR COMO:
Acosta Cano de los Ríos José Eduardo, Morales Pérez Luis Manuel, "Estructura Flexible para Integración de Piso de Producción Dirigida a Industria 4.0", Revista ELECTRO, Vol. 42, 2020, pp. 21-27.
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