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AUTHOR(S): Ioannis Antonopoulos, Theodore Ganetsos, Nikolaos Laskaris, Petros Savvidis, Evangelos Papakitsos
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ABSTRACT The maritime transportation of grain and cereals requires strict environmental control to prevent spoilage, microbial growth and insect infestation. Conventional containers operate as passive structures without embedded intelligence, relying on periodic manual inspections that cannot ensure continuous quality assurance. This paper presents the design, development and simulation of an automated smart container monitoring and control system implemented in the LabVIEW environment. The proposed system integrates temperature sensors, carbon dioxide (CO₂) gas sensors and a pheromone-based pest detection mechanism to provide continuous real-time supervision of internal container conditions. A closed-loop control architecture compares sensor measurements with predefined safety thresholds and automatically activates heating, cooling, ventilation or CO₂ injection subsystems to maintain optimal storage parameters. The system includes a graphical human–machine interface (HMI) that displays real-time measurements, alarm states and historical trends, enhancing operator awareness and traceability. Simulation results demonstrate stable environmental regulation within defined temperature (10–20°C) and CO₂ concentration (10–20 ppm) limits, as well as automated biological risk mitigation when pest thresholds are exceeded. The integration of sensing, supervisory logic and actuation within a unified LabVIEW platform ensures scalability, reliability and rapid response to environmental disturbances. The developed system constitutes a comprehensive smart container solution for maritime grain transport, offering improved accuracy, reduced human intervention and enhanced cargo protection, compared to conventional manual monitoring approaches. Its modular architecture allows future expansion toward full IoT-enabled fleet monitoring and advanced predictive analytics within Industry 4.0 maritime logistics frameworks. |
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KEYWORDS Smart Container, LabVIEW, Maritime Transport, Grain Quality Monitoring, SCADA Systems, Real-Time Environmental Control, CO₂ Monitoring, Pest Detection, Automated Electronic System, Industry 4.0. |
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Cite this paper Ioannis Antonopoulos, Theodore Ganetsos, Nikolaos Laskaris, Petros Savvidis, Evangelos Papakitsos. (2026) Development of a Real-Time SCADA-Oriented Smart Container Platform for Grain Safety and Atmospheric Regulation. International Journal of Applied Physics, 11, 112-118 |
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