Use of Internet of Things for Monitoring, Automation, and Performance in Industrial Production of Cheese
DOI:
https://doi.org/10.33448/rsd-v14i6.49054Keywords:
Cheese, Cloud Computing, Digitalization, Internet of Things, Raspberry Pi.Abstract
This article describes a solution for monitoring, automation, and control in industrial production. The presented approach combines Internet of Things (IoT), cloud storage, and sensing technologies applied to a cheese manufacturing tank. The sensors attached to the cheese manufacturing tank enable readings of temperature, pH, and level, contributing to process control, streamlining decision-making, and consequently improving product quality. The system can be accessed via the internet, allowing remote access and control, where users select the type of cheese to be produced, and based on the algorithm, the tank autonomously performs the process. The results demonstrate that through the digitization process, it is possible to monitor and act upon the tank, either manually or through autonomous programming, using a multi-technology interface of open-source circuits and code, providing a low investment compared to proprietary solutions in the industrial market. In this present work, in addition to controlling and digitizing equipment data that directly affects profitability, the benefits of the implemented system extend to increased productivity, remote access, cloud storage, and the possibility of adapting industrial equipment (retrofitting) from different scenario segments, which were configured within a framework.
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Baralla, G., Pinna, A., Tonelli, R., Marchesi, M., & Ibba, S. (2020). Ensuring transparency and traceability of food local products: A blockchain application to a smart tourism region. Concurrency and Computation: Practice and Experience, 33(1), 1–18. https://doi.org/10.1002/cpe.5857
Cipolat-Gotet, C., Cecchinato, A., Malacarne, M., Bittante, G., & Summer, A. (2018). Variations in milk protein fractions affect the efficiency of the cheese-making process. Journal of Dairy Science, 101(10), 8788–8804. https://doi.org/10.3168/jds.2018-14503
Duong, L. N. K., Al-Fadhli, M., Jagtap, S., Bader, F., Martindale, W., Swainson, M., & Paoli, A. (2020). A review of robotics and autonomous systems in the food industry: From the supply chains perspective. Trends in Food Science & Technology, 106, 355–364. https://doi.org/10.1016/j.tifs.2020.10.028
Firjan - Federação das Indústrias do Rio de Janeiro. (2016). Indústria 4.0: Internet das coisas. https://www.firjan.com.br/ (Acesso em 29 de janeiro de 2024)
Jagtap, S., Garcia-Garcia, G., & Rahimifard, S. (2021). Optimisation of the resource efficiency of food manufacturing via the internet of things. Computers in Industry, 127, 103397. https://doi.org/10.1016/j.compind.2021.103397
Jain, A., Pradhan, B. K., Mahapatra, P., Ray, S. S., Chakravarty, S., & Pal, K. (2020). Development of a low-cost food color monitoring system. Color Research and Application, 46(2), 430–445. https://doi.org/10.1002/col.22577
Lawal, K., & Rafsanjani, H. N. (2021). Trends, benefits, risks, and challenges of IoT implementation in residential and commercial buildings. Sustainability. https://doi.org/10.1016/j.enbenv.2021.01.009
Paladino, A., Fissore, E., & Neviani, E. (2019). A low-cost monitoring system and operating database for quality control in small food processing industry. Journal of Sensor and Actuator Networks, 8(4), 52. https://doi.org/10.3390/jsan8040052
Pessoa, R., Jamil, G. L., Castelo Branco, M., Silva, R., & Rosa, M. M. (2016). Internet of things: Concepts, applications, challenges and trends. https://doi.org/10.5748/9788599693124-13contecsi/rf-3654
Piana, V. J., Silva Pinto Junior, J., & Gonçalves, A. L. (2022). Accessibility of the node-red IoT framework: An integrative review. Revista E-TECH: Tecnologias para Competitividade Industrial, 15(4). https://doi.org/10.18624/etech.v15i4.1231
Revistas. (n.d.). Finep - Financiadora de Estudos e Projetos. http://www.finep.gov.br/revistas?id=5079 (Acesso em 29 de janeiro de 2024)
Sacomano, J. B., Gonçalves, R. F., Bonilla, S. H., Silva, M. T., & Sátyro, W. C. (2018). Indústria 4.0: Conceitos e fundamentos. Blucher.
Sarikaya, A., Correll, M., Bartram, L., Tory, M., & Fisher, D. (2019). What do we talk about when we talk about dashboards? IEEE Transactions on Visualization and Computer Graphics, 25(1), 682–692. https://doi.org/10.1109/tvcg.2018.2864903
Teixeira, N., Pires, M. C., Ferreira, P., Carvalho, G. P., Santos, R., Rodrigues, F. M., Dias, J., Martins, J. C., & Caeiro, J. J. (2020). The economic impact of a new type of ripening chamber in traditional cheese manufacturing. Sustainability, 12(16), 1–8. https://doi.org/10.3390/su12166682
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Copyright (c) 2025 Valerio Junior Piana; Crivian Pelisser; Maristela Schleicher Silveira; Creciana Maria Endres; Doglas Andre Finco; Alexandre Leopoldo Gonçalves

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