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Agent-Based Model for Oil Storage Monitor and Control System Using IoT

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Computing, Internet of Things and Data Analytics (ICCIDA 2023)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1145))

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Abstract

The storage of oil products is characterized by a high level of risk that can be illustrated by an explosion, fire, or spills from the storage area. As a result, monitoring those areas becomes an essential task for stakeholders especially in countries with a wide storage area. This task cannot be monitored manually as this methodology requires a high number of employers and workers. This work proposes a smart IoT-based approach for real-time monitoring and controlling oil storage areas with an evaluation of the risk level. The proposed approach is then modeled and simulated using multi-agent system (ABM) to represent the dynamic behavioral of the oil storage system in normal and degraded mode. Experiments done have demonstrated the effectiveness of ABM in dynamic modeling, the reliability of the proposed system in monitoring and controlling oil storage facilities and emphasizing the advantages of incorporating IoT in oil storage management.

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Authors and Affiliations

  1. College of Engineering and Technology, American University of the Middle East, 54200, Egaila, Kuwait

    Hassan Kanj, Abdullah Aljeri & Tarek Khalifa

Authors
  1. Hassan Kanj
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  2. Abdullah Aljeri
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  3. Tarek Khalifa
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Corresponding author

Correspondence to Hassan Kanj .

Editor information

Editors and Affiliations

  1. Ingenium Research Group; Campus Universitario, University of Castilla-La Mancha, Ciudad Real, Spain

    Fausto Pedro García Márquez

  2. National University of Computer and Emerging Sciences, Islamabad, Pakistan

    Akhtar Jamil

  3. Ingenium Research Group, Campus Universitario, University of Castilla-La Mancha, Ciudad Real, Spain

    Isaac Segovia Ramirez

  4. Information Systems Engineering, Kocaeli University, Kocaeli, Türkiye

    Süleyman Eken

  5. Department of Computer Engineering, Istinye University, Istanbul, Türkiye

    Alaa Ali Hameed

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Kanj, H., Aljeri, A., Khalifa, T. (2024). Agent-Based Model for Oil Storage Monitor and Control System Using IoT. In: García Márquez, F.P., Jamil, A., Ramirez, I.S., Eken, S., Hameed, A.A. (eds) Computing, Internet of Things and Data Analytics. ICCIDA 2023. Studies in Computational Intelligence, vol 1145. Springer, Cham. https://doi.org/10.1007/978-3-031-53717-2_23

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  • DOI: https://doi.org/10.1007/978-3-031-53717-2_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53716-5

  • Online ISBN: 978-3-031-53717-2

  • eBook Packages: EngineeringEngineering (R0)

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