Monitoring of Physicochemical Changes During Beer Fermentation Using an Intelligent IoT-Based System

Authors

  • Dylan Marcelo Chacha Tene Escuela Superior Politécnica del Chimborazo image/svg+xml
  • Hector Gonzalo Palacios Leon Escuela Superior Politécnica del Chimborazo image/svg+xml
  • Karina Gabriela Salazar Llangari Escuela Superior Politécnica del Chimborazo image/svg+xml
  • Diego Ramiro Ñacato Estrella Escuela Superior Politécnica del Chimborazo image/svg+xml

DOI:

https://doi.org/10.55204/trc.v6i1.e683

Keywords:

Beer fermentation, Temperature control, Industrial automation

Abstract

This study analyzes the problem identified at the NEFER Craft Brewery in Riobamba city, where manual management of the cooling systems led to critical temperature variations of up to ±4°C during fermentation, thereby compromising product quality. Unlike basic automation approaches, the Industry 4.0 framework was adopted to enable data traceability, scalability, and remote monitoring, key elements for decision-making based on real-time metrics. The methodology incorporated a system based on a Wecon PLC and Pt100 sensors, whose robustness was validated through continuous operational testing during production cycles. The results demonstrate a high level of system validation, maintaining temperature stability within the required 3°C to 20°C range, with a maximum deviation of only ±0.2°C. This significantly reduced the impact of human error, which previously accounted for a 15% failure rate in valve control. Therefore, the transition to IIoT technologies not only ensures batch standardization but also provides producers with full real-time control of their plant operations, transforming manual processes into an intelligent, technical, and scalable system

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References

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Published

2026-03-08

Issue

Section

Original Research Articles

How to Cite

Chacha Tene, D. M., Palacios Leon, H. G., Salazar Llangari, K. G., & Ñacato Estrella, D. R. (2026). Monitoring of Physicochemical Changes During Beer Fermentation Using an Intelligent IoT-Based System. Tesla Revista Científica, 6(1), e683. https://doi.org/10.55204/trc.v6i1.e683

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