A Real-Time Oil Pipeline Anti-Intrusion System Using Acoustic Sensors

G. C. Ononiwu *

Department of Electrical/Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria.

P. U. Eze

Department of Electrical/Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria.

O. J. Onojo

Department of Electrical/Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria.

G. N. Ezeh

Department of Electrical/Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria.

D. O. Dike

Department of Electrical/Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria.

S. I. Igbojiaku

Department of Electrical/Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria.

O. C. Nnodi

Department of Electrical/Electronic Engineering, Federal University of Technology, Owerri, Imo State, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

In this paper, a real-time oil Pipeline intrusion detection system was designed, developed and implemented using acoustic sensors. This approach involves the transmission of audio tones through wires laid along the pipeline. It is intended to overcome most of the problems associated with previous systems designed for this purpose, which includeconscious monitoring, unavailability of mobile network service for SMS monitoring, and destruction of cameras by intruders.The system consists of a master controller module and three or possibly more slave modules. The master module regularly polls the slave modules for acoustic signals that are transmitted to a computer. Dedicated software programs, running on the computer reads the status data from the Master module and displays it on a Graphical User Interface (GUI). A decision can then be made regarding the nature of the signal. Limitations like the delay in signal transmission to the control station and from longer distances along the pipeline need to be solved in further work.

Keywords: Oil pipeline, DTMF, intrusion detection, microcontroller, distributed acoustic sensors


How to Cite

Ononiwu, G. C., P. U. Eze, O. J. Onojo, G. N. Ezeh, D. O. Dike, S. I. Igbojiaku, and O. C. Nnodi. 2014. “A Real-Time Oil Pipeline Anti-Intrusion System Using Acoustic Sensors”. Current Journal of Applied Science and Technology 4 (26):3740-56. https://doi.org/10.9734/BJAST/2014/11480.

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