Advancements in sensors, electronics, and computing have enhanced monitoring systems for environmental protection, safety, and resource management. Internet of Things, Artificial Intelligence-driven models, and mathematical frameworks enable real-Time assessments, but detection accuracy remains a challenge. Partial Differential Equations models improve predictive capabilities in cyberphysical monitoring systems. Internet of Things applications extend to agriculture, smart cities, and environmental management, with smart sensors collecting critical real-Time data. In water quality monitoring, Internet of Things sensors detect contaminants, though challenges like data reliability and security persist. This paper presents a Partial Differential Equations based model for detecting foreign contaminants objects in liquid storage tanks, enhancing accuracy, reducing false alarms, and improving real-Time monitoring.

Mathematical Model for Identifying and Locating External Solid Contaminants in Tanks

Ricciardello, Angela;Ruggieri, Marianna;Scuro, Carmelo
2025-01-01

Abstract

Advancements in sensors, electronics, and computing have enhanced monitoring systems for environmental protection, safety, and resource management. Internet of Things, Artificial Intelligence-driven models, and mathematical frameworks enable real-Time assessments, but detection accuracy remains a challenge. Partial Differential Equations models improve predictive capabilities in cyberphysical monitoring systems. Internet of Things applications extend to agriculture, smart cities, and environmental management, with smart sensors collecting critical real-Time data. In water quality monitoring, Internet of Things sensors detect contaminants, though challenges like data reliability and security persist. This paper presents a Partial Differential Equations based model for detecting foreign contaminants objects in liquid storage tanks, enhancing accuracy, reducing false alarms, and improving real-Time monitoring.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11387/198180
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