Design and Implementation of an IoT-Based Quality Monitoring System for Sports Nutrition Production
Keywords:
IoT, Quality Monitoring, Sports Nutrition Production, Digital QMS, Environmental Sen- sors, Industry 4.0.Abstract
Because nutritional formulations are sensitive to environmental and process variations, sports nutrition manufacturing requires stringent quality control mechanisms. Traditional quality as- surance approaches based on periodic inspections often lack real-time visibility, increasing the risk of undetected deviations. This study presents an IoT-enabled quality monitoring system designed for con- tinuous supervision of critical parameters such as temperature, humidity, and batch-level conditions. The proposed framework integrates distributed IoT sensor nodes, microcontroller-based data acquisition, and MQTT/HTTP communication protocols to enable reliable real-time monitoring in industrial environ- ments. Sensor data is integrated with a digital Quality Management System (QMS) infrastructure to support deviation detection, traceability, and automated compliance verification. PostgreSQL is employed for secure data storage, Flask-based services manage backend processing, and an Angular-based interface provides interactive dashboard visualization. Validation using simulated production and environmental datasets demonstrated a 37% reduction in non-conformance occurrences and a 50% improvement in data accessibility for quality evaluation. The results confirm that the proposed IoT architecture enhances proactive quality assurance in alignment with Industry 4.0 principles.
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