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

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.