Design and Implementation of a Solution for the Planning of Smart Spaces Aiming for Energy Efficiency in Industry 4.0

Raphael de Aquino Gomes; Viviane Bessa Ferreira; José Luis Domingos; Regina Célia Bueno da Fonseca; Bruno Barzellay Ferreira da Costa

doi:10.63595/vetor.v36i1.18300

Authors

Raphael de Aquino Gomes Instituto Federal de Goiás, Goiânia, GO, Brazil
Viviane Bessa Ferreira Instituto Federal de Goiás, Goiânia, GO, Brazil https://orcid.org/0000-0003-1393-2299
José Luis Domingos Instituto Federal de Goiás, Goiânia, GO, Brazil
Regina Célia Bueno da Fonseca Instituto Federal de Goiás, Goiânia, GO, Brazil https://orcid.org/0000-0002-9480-2068
Bruno Barzellay Ferreira da Costa Universidade Federal do Rio de Janeiro, Macaé, RJ, Brazil https://orcid.org/0000-0003-0242-4205

DOI:

https://doi.org/10.63595/vetor.v36i1.18300

Keywords:

Energy efficiency, Industry 4.0, Deployment Planning, Internet of Things

Abstract

Given the significant increase in electricity consumption, especially in the industrial and commercial categories, exploring new energy sources and developing innovative technologies are essential. The fourth industrial revolution (Industry 4.0) and digital transformation are not just buzzwords, but they offer real opportunities for energy sustainability, using technologies such as artificial intelligence, the Internet of Things (IoT), and cloud computing. In this context, the paper presents an integrated approach that uses heterogeneous devices to cover the detection, communication, computation, and application layers, targeting application deployment efficiency. The implementation of this solution aims to reduce energy consumption by controlling connectivity and resource constraints. Preliminary results indicate its potential to assist in strategic planning and decision-making, promoting sustainability.

Downloads

Download data is not yet available.

References

[1] F. Liu, J.-y. Sim, H. Sun, B. K. Edziah, P. K. Adom, and S. Song, “Assessing the role of economic globalization on energy efficiency: Evidence from a global perspective,” China Economic Review, vol. 77, p. 101897, 2023. Available at: https://doi.org/10.1016/j.chieco.2022.101897

[2] Empresa de Pesquisa Energética. (2024) Resenha mensal do mercado de energia elétrica (in portuguese). Available at: https://www.epe.gov.br/sites-pt/publicacoes-dados-abertos/publicacoes/PublicacoesArquivos/publicacao-153/topico-697/Resenha%20Mensal%20-%20Maio%202024%20(base%20Abril).pdf

[3] P. Barman, L. Dutta, S. Bordoloi, A. Kalita, P. Buragohain, S. Bharali, and B. Azzopardi, “Renewable energy integration with electric vehicle technology: A review of the existing smart charging approaches,” Renewable and Sustainable Energy Reviews, vol. 183, p. 113518, 2023. Available at: https://doi.org/10.1016/j.rser.2023.113518

[4] E. O. B. Nara, M. B. da Costa, I. C. Baierle, J. L. Schaefer, G. B. Benitez, L. M. A. L. do Santos, and L. B. Benitez, “Expected impact of industry 4.0 technologies on sustainable development: A study in the context of brazil’s plastic industry,” Sustainable Production and Consumption, vol. 25, pp. 102–122, 2021. Available at: https://doi.org/10.1016/j.spc.2020.07.018

[5] M. Chen, A. Sinha, K. Hu, and M. I. Shah, “Impact of technological innovation on energy efficiency in industry 4.0 era: Moderation of shadow economy in sustainable development,” Technological Forecasting and Social Change, vol. 164, p. 120521, 2021. Available at: https://doi.org/10.1016/j.techfore.2020.120521

[6] H. Boyes, B. Hallaq, J. Cunningham, and T. Watson, “The industrial internet of things (IIoT): An analysis framework,” Computers in Industry, vol. 101, pp. 1–12, 2018. Available at: https://doi.org/10.1016/j.compind.2018.04.015

[7] WEG Digital Solutions. (2022) Introdução a indústria 4.0: a indústria nunca mais será a mesma. Available at: https://www.weg.net/digital/blog/materiais-para-download/

[8] V. K. Völz, A. S. Pereira, E. Walker, and G. S. Porciúncula, “Avaliação de maturidade da indústria 4.0 em uma empresa fabricante de produtos eletromédicos,” VETOR-Revista de Ciências Exatas e Engenharias, vol. 33, no. 1, pp. 80–96, 2023. Available at: https://doi.org/10.14295/vetor.v33i1.14662

[9] B. Wang, “Coverage problems in sensor networks: A survey,” ACM Computing Surveys (CSUR), vol. 43, no. 4, pp. 1–53, 2011. Available at: https://doi.org/10.1145/1978802.1978811

[10] L. Qiu, R. Chandra, K. Jain, and M. Mahdian, “Optimizing the placement of integration points in multi-hop wireless networks,” in Proceedings of ICNP, vol. 4, 2004, pp. 271–282.

[11] T.-C. Chang, T. Banerjee, N. Venkatasubramanian, and R. York, “Quic-iot: Model-driven short-term iot deployment for monitoring physical phenomena,” in Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and Implementation, 2023, pp. 424–437. Available at: https://doi.org/10.1145/3576842.3582381

[12] A. Sasikumar, S. Vairavasundaram, K. Kotecha, V. Indragandhi, L. Ravi, G. Selvachandran, and A. Abraham, “Blockchain-based trust mechanism for digital twin empowered industrial internet of things,” Future Generation Computer Systems, vol. 141, pp. 16–27, 2023. Available at: https://doi.org/10.1016/j.future.2022.11.002

[13] P. Guan, A. Dangwal, A. Taherkordi, R. Wolski, and C. Krintz, “Energy-aware IoT deployment planning,” in Proceedings of the 21st ACM International Conference on Computing Frontiers, 2024, pp. 61–70. Available at: https://doi.org/10.1145/3649153.3649864

[14] E. Khezri, R. O. Yahya, H. Hassanzadeh, M. Mohaidat, S. Ahmadi, and M. Trik, “DLJSF: Data-locality aware job scheduling IoT tasks in fog-cloud computing environments,” Results in Engineering, vol. 21, p. 101780, 2024. Available at: https://doi.org/10.1016/j.rineng.2024.101780

[15] V. V. Ferreira, R. de Aquino Gomes, and W. P. Calixto, “Modelagem de uma solução para planejamento de espaços inteligentes visando eficiência energética na indústria 4.0,” in Anais do XXVI Encontro Nacional de Modelagem Computacional, XIV Encontro de Ciência e Tecnologia de Materiais, 2023.

[16] V. B. Ferreira, R. d. A. Gomes, and W. P. Calixto, “Modeling a solution for smart space planning aiming for energy efficiency in industry 4.0,” The Journal of Engineering and Exact Sciences, vol. 10, no. 3, p. 17775, 2024. Available at: https://doi.org/10.18540/jcecvl10iss3pp17775

[17] V. V. Ferreira, R. de Aquino Gomes, J. L. Domingos, R. C. B. da Fonseca, and B. B. F. da Costa, “Implementation of an integrated solution for the planning of smart spaces aiming for energy efficiency in industry 4.0,” in Anais do XXVII Encontro Nacional de Modelagem Computacional, XV Encontro de Ciência e Tecnologia de Materiais, 2024.

[18] T.-C. Chang, G. Bouloukakis, C.-Y. Hsieh, C.-H. Hsu, and N. Venkatasubramanian, “Demo abstract: Smartparcels: a what-if analysis and planning tool for IoT-enabled smart communities,” in IoTDI 2021: 6th ACM/IEEE International Conference on Internet-of-Things Design and Implementation. ACM, 2021, pp. 267–268. Available at: https://doi.org/10.1145/3450268.3453514

[19] ——, “Smartparcels: Cross-layer iot planning for smart communities,” in Proceedings of the International Conference on Internet-of-Things Design and Implementation, 2021, pp. 195–207. Available at: https: //doi.org/10.1145/3450268.3453526

[20] P.-E. Danielsson, “Euclidean distance mapping,” Computer Graphics and image processing, vol. 14, no. 3, pp. 227–248, 1980. Available at: https://doi.org/10.1016/0146-664X(80)90054-4

[21] Smart Data Models. (2022) Smart data models program. Available at: https://smartdatamodels.org

[22] F. Cirillo, G. Solmaz, E. L. Berz, M. Bauer, B. Cheng, and E. Kovacs, “A standard-based open source IoT platform: FIWARE,” IEEE Internet of Things Magazine, vol. 2, no. 3, pp. 12–18, 2019. Available at: https://doi.org/10.1109/IOTM.0001.1800022

[23] G. Privat and A. Medvedev, “Guidelines for modelling with ngsi-ld,” ETSI White Paper, vol. 42, 2021.

[24] Schema.org. (2024) Schemas. Available at: https://schema.org/

[25] A. Bargnesi, A. DiFabio, W. Hayes, G. Shibaev, C. Benz, H. Pyle, and T. Giggy. (2024) Json graph format (jgf). Available at: https://jsongraphformat.info/

[26] H. Butler, M. Daly, A. Doyle, S. Gillies, T. Schaub, and C. Schmidt. (2014) Geojson. Available at: http://geojson.org

[27] Django. (2014) The web framework for perfectionists with deadlines. Available at: https://www.djangoproject.com/