Abstract
The paper presents an approach for the retrofitting of industrial looms on the shop floor of a textile industry. This is a real case study, where there was a need to update the equipment, providing the machines with communication features aligned with the concept of Industry 4.0. The work was developed within the scope of the research project PRODUTECH-SIF: Solutions for the Industry of the Future. Temperature, Inductive, Acoustic and 3-axis Accelerometers sensors were installed in different parts of the machines for monitorization. Data acquisition and processing is done by a SmarBox developed on a cRIO 9040 from National Instruments. A SmartBox processes data from one to four looms, allowing these old machines to have communication capacity and to be monitored remotely through the factory plant’s MES/ERP. Communication can be done through the OPC UA or MQTT architecture, both protocols aligned with the new trends for industrial communications. The sensor data will be used to feed production and manufacturing KPIs and for predictive maintenance. The approach presented in this paper allows industries with legacy equipment to renew and adapt to new market trends, improving productivity rates and reduced maintenance costs.
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References
Torres, P., et al.: Cyber-Physical production systems supported by intelligent devices (smartboxes) for industrial processes digitalization. In: 5th International forum on Research and Technology for Society and Industry (RTSI), pp. 73–78, IEEE, Florence, Italy (2019). https://doi.org/10.1109/RTSI.2019.8895553
Malhão, S., Dionísio, R., Torres, P.: Industrial IoT smartbox for the shop floor. In: 5th Experiment International Conference (exp.at 2019), pp. 258–259, IEEE, Funchal (Madeira Island), Portugal (2019). https://doi.org/10.1109/EXPAT.2019.8876562
Rubio, E.M., Torres, P.M., Dionísio, R.P.: Smart gateways for IOT-factory integration: trends and use case. In: Ferreira, L., Lopes, N., Silva, J., Putnik, G., Cruz-Cunha, M., Ávila, P. (Eds.) Technological Developments in Industry 4.0 for Business Applications, pp. 149–170. IGI Global (2019). https://doi.org/10.4018/978-1-5225-4936-9.ch007
Neto, L., et al.: An industry 4.0 self-description information model for software components contained in the administration shell. In: International Conference on Intelligent Systems and Applications, 8, pp. 1–6. IARIA, Rome, Italy. ISBN: 978–1–61208–723–8
Hankel, M., Rexroth, B.: The reference architectural model industrie 4.0 (rami 4.0). ZVEI, April 410 (2015)
Rauchhaupt, L., Kadel, G.: Network-based Communication for Industrie 4.0–Proposal for an Administration Shell. Plattform Industrie 4.0 (2016)
P. I. 4.0: Interaction Model for Industrie 4.0 Components, 3 (2016). https://www.plattform-i40.de/I40/Redaktion/EN/Downloads/Publikation/interaction-model-I40-components.pdf?__blob=publicationFile&v=9. Accessed 02 Feb 2020
VDMA. Industrie 4.0 Communication Guideline Based on OPC UA. 10 12 2017. https://industrie40.vdma.org/en/viewer/-/v2article/render/20625194. Accessed 02 Feb 2020
OPC Foundation. OPC UA Part 14 - PubSub Specification. OPC Foundation, 6 2 2018. https://opcfoundation.org/developer-tools/specifications-unified-architecture/part-14-pubsub. Accessed 02 Feb 2020
Peralta, G., Iglesias-Urkia, M., Barcelo, M., Gomez, R., Moran, A., Bilbao, J.: Fog computing based efficient IoT scheme for the Industry 4.0. In: Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM). 2017 IEEE International Workshop of (2017)
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This research was supported by the project PRODUTECH SIF - Solutions for the Industry of the Future, financed by the Portuguese National program COMPETE 2020.
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Torres, P., Dionísio, R., Malhão, S., Neto, L., Gonçalves, G. (2022). Machinery Retrofiting for Industry 4.0. In: Machado, J., Soares, F., Trojanowska, J., Yildirim, S. (eds) Innovations in Mechatronics Engineering. icieng 2021. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-79168-1_20
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DOI: https://doi.org/10.1007/978-3-030-79168-1_20
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