Winnie: A Sensor-Based System for Real-Time Monitoring and Quality Tracking in Wine Fermentation

This paper presents the development of a modular and low-cost IoT (Internet of Things) system for remote monitoring of essential parameters during wine fermentation, designed for small and medium-sized wineries—Winnie. The system combines distributed embedded sensing units with centralized colorimetric analysis and real-time data transmission to a remote server. Barrel-mounted devices measure wine and cellar parameters (temperature, humidity, and CO2 concentration), while a central hub performs colorimetric SO2 analysis using an RGB color sensor and automated fluid handling. Communication between the Barrel and Hub device relies on the RS-485 protocol, providing robustness in harsh winery conditions. All measurements are securely transferred via Wi-Fi. A hash-based integrity check ensures continuous and reliable data collection. The modular design, simple installation, and user-friendly web interface make the system accessible to winemakers. This technology provides a scalable method for digitalizing conventional winemaking processes by reducing the cost and complexity of wine quality monitoring.

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Publication Details

Journal
Applied Sciences
Published
2025-10-22
DOI
https://doi.org/10.3390/app152111317
Citations
2
Primary Topic
Fermentation and Sensory Analysis
Type
article
Field-Weighted Citation Impact
2.32
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article

Winnie: A Sensor-Based System for Real-Time Monitoring and Quality Tracking in Wine Fermentation

Ivan Aleksi, Tomislav Keser, Tomislav Matić, Ivana Kovačević
2 citations
Applied Sciences
Fermentation and Sensory Analysis
2.32
article

Winnie: A Sensor-Based System for Real-Time Monitoring and Quality Tracking in Wine Fermentation

Ivan Aleksi, Tomislav Keser, Tomislav Matić, Ivana Kovačević
article en
2 citations

Abstract

This paper presents the development of a modular and low-cost IoT (Internet of Things) system for remote monitoring of essential parameters during wine fermentation, designed for small and medium-sized wineries—Winnie. The system combines distributed embedded sensing units with centralized colorimetric analysis and real-time data transmission to a remote server. Barrel-mounted devices measure wine and cellar parameters (temperature, humidity, and CO2 concentration), while a central hub performs colorimetric SO2 analysis using an RGB color sensor and automated fluid handling. Communication between the Barrel and Hub device relies on the RS-485 protocol, providing robustness in harsh winery conditions. All measurements are securely transferred via Wi-Fi. A hash-based integrity check ensures continuous and reliable data collection. The modular design, simple installation, and user-friendly web interface make the system accessible to winemakers. This technology provides a scalable method for digitalizing conventional winemaking processes by reducing the cost and complexity of wine quality monitoring.

Applied SciencesVol. 15(21)
University of Osijek (HR)
Openalex Percentile: Top 11%
Fermentation and Sensory Analysis
2.32
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