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Papers by TOMIWA AYENI

Research paper thumbnail of INTELLIGENT PIPELINE MONITORING SYSTEM BASED on INTERNET of THINGS

Scientific Research Journal

The constant pipeline vandalism in Nigeria by oil saboteurs has continued to cause the nation bil... more The constant pipeline vandalism in Nigeria by oil saboteurs has continued to cause the nation billions of dollars every year. This act is affecting the economy of the most populous black nation and if an urgent solution is not devised, it is capable of bringing the nation to its knees. Although the Nigerian government had in the past devised different strategies to stop the act, unfortunately, most of the strategies rolled out seem to be reactive and obsolete. Internet of Things (IoT) is the technology that can help the nation monitor its pipeline facilities efficiently. To this end, we consider how IoT could be used to monitor pipelines flops in advance. This paper reviews the strategies used by oil saboteurs to steal crude oil from the nation's oil and gas pipeline facilities, highlights the strategies currently used by the Nigerian government to monitor the nation pipeline facilities, the challenges associated with the strategies and how IoT could be used to detect, control and monitors oil pipelines in an efficient manner.

Application layer Fig.1 Four-tier loT based architecture of intelligent pipeline monitoring system The current pipeline monitoring approaches in Nigeria is reactive rather than been predictive and proactive. With this current approach, it is impossible to detect leaks and vandals’ activities in advanced before damage is caused on the nation’s pipeline. Internet of Things (IoT) is the advanced technology that will enable industries to move from reactive approach to predictive and proactive approach. IoT is a network of physical devices empowered by sensors, actuators, identifiers, software, and internet connectivity (Ammar and Samer.,2017). In order to detect, control and monitor pipelines in real time, this study proposes a four-tier IoT basec architecture consisting of perception layer, network, processing and application layer. The proposed architecture is shown in Fig.2

Research paper thumbnail of INTELLIGENT PIPELINE MONITORING SYSTEM BASED on INTERNET of THINGS

Scientific Research Journal

The constant pipeline vandalism in Nigeria by oil saboteurs has continued to cause the nation bil... more The constant pipeline vandalism in Nigeria by oil saboteurs has continued to cause the nation billions of dollars every year. This act is affecting the economy of the most populous black nation and if an urgent solution is not devised, it is capable of bringing the nation to its knees. Although the Nigerian government had in the past devised different strategies to stop the act, unfortunately, most of the strategies rolled out seem to be reactive and obsolete. Internet of Things (IoT) is the technology that can help the nation monitor its pipeline facilities efficiently. To this end, we consider how IoT could be used to monitor pipelines flops in advance. This paper reviews the strategies used by oil saboteurs to steal crude oil from the nation's oil and gas pipeline facilities, highlights the strategies currently used by the Nigerian government to monitor the nation pipeline facilities, the challenges associated with the strategies and how IoT could be used to detect, control and monitors oil pipelines in an efficient manner.

Application layer Fig.1 Four-tier loT based architecture of intelligent pipeline monitoring system The current pipeline monitoring approaches in Nigeria is reactive rather than been predictive and proactive. With this current approach, it is impossible to detect leaks and vandals’ activities in advanced before damage is caused on the nation’s pipeline. Internet of Things (IoT) is the advanced technology that will enable industries to move from reactive approach to predictive and proactive approach. IoT is a network of physical devices empowered by sensors, actuators, identifiers, software, and internet connectivity (Ammar and Samer.,2017). In order to detect, control and monitor pipelines in real time, this study proposes a four-tier IoT basec architecture consisting of perception layer, network, processing and application layer. The proposed architecture is shown in Fig.2

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