Winnie: A Sensor-Based System for Real-Time Monitoring and Quality Tracking in Wine Fermentation
Source abstract
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.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Fermentation and Sensory Analysis · Advanced Chemical Sensor Technologies · Sensory Analysis and Statistical Methods
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Josip Juraj Strossmayer University of Osijek, Kneza Trpimira 2b, Osijek 31000, Croatia
Funding
European Regional Development Fund
References (81)
Show source-provided references
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