An Anti-Theft Oil Pipeline Vandalism Detection: Embedded System Development

Year 2018, Volume: 2 Issue: 2, 55 - 64, 30.06.2018

AJAO Lukman ADEDOKUN Emmanuel Nwishieyi Chinonso Adegboye Mutiu Agajo James Kolo Jonathan

Abstract

This
act of pipeline sabotage, stealing remain a great security challenges for both
government and people of the affected countries, as this ugly activity usually
resulted in a significant loss. Such as economic downfall, loss of human lives,
environmental pollution and destruction of aquatic animals. An anti-theft oil
pipeline vandalization system based internet of things technology was developed
using ATmega328, GSM and GPS to render a remote information monitoring. The
prototype was implemented and tested in a lengthy pipeline of 10m with
configuration threshold range from 28 to 210. The result obtained contain
sensor nodes position in a pipeline network, geographic locations (longitude
and latitude) and distance, which are transmitted as SMS alert to the base
station (BS). It is expected, that this technology will assists early detection
of vandalism of crude oil pipelines and guide the security agent on the exact
location of any ongoing theft activities.

Keywords

Anti-theft, Crude oil, Geographic location, Pipeline network, Prototype

References

• [1] M. Watts, “Resource curse governmentality, oil and power in the Niger Delta”, Nigerian Geopolitics, vol. 9, no. 1, pp. 50-80, 2004.
• [2] M. E. Aluko, Sunday musings: The case for an energy emergency in Nigeria again, (2017). Retrieved from http://www.nigerianmuse.com/20150607041636zg/sections/essay/sundaymusings-the-case-for-an-energy-emergency-in-nigeria-by-bolaji-aluko
• [3] L. A. Ajao, J. Agajo, J. G. Kolo, D. Maliki, and M. A. Adegboye, “Wireless sensor networks based-internet of thing for agro-climatic parameters monitoring and real-time data acquisition”, Journal of Asian Scientific Research, vol. 7, no. 6, pp. 240-252, 2017.
• [4] L. A. Ajao, J. Agajo, J. G. Kolo, C. O. Inalegwu, E. A. Edem, “Development of a Low Power Consumption Smart Embedded Wireless Sensor Network for the Ubiquitous Environmental Monitoring using ZigBee Module”, ATBU Journal of Science and Technology Education (JOSTE), Vol. 5, No. 1, pp. 94-108, 2017.
• [5] S. M. Babamir, “M2M Architecture: Can it realize Ubiquitous Computing in Daily Life?” KSII Transactions on Internet and Information Systems, vol. 6, No. 2, 2012.
• [6] S. Wandre, EDGE: Enhanced Data Rates for GSM Evolution, Illinois Institute of Technology, 1-19, 2000.
• [7] S. Jinfeng, Z. Zhiyue, and S. Xiaoli, “The intelligent crude oil anti-theft system based on IoT under different scenario”, ELSEVIER, 20th International Conference on Knowledge Based and Intelligent Information Engineering Systems UK, vol. 96, pp. 1581-1588, 2016.
• [8] E. Ogujor, S. U. Inegbenosa, and E. Esenogho, “Implementation of a prototype microcontroller based anti-pipeline vandalization system”, International Journal of Emerging Technologies in Engineering Research, vol. 2, no. 1, pp. 1-14, 2013.
• [9] O. O. Franklin, O. O. Philip, and K. I. Ekerikevwe, “A model of petroleum pipeline spillage detection system for use in the Niger-Delta region of Nigeria”, International Journal of Research Granthaalayah, vol. 4, no.12, pp. 1-16, 2016.
• [10] A. D. Eluwande, and O. O. Ayo, “Above ground pipeline monitoring and surveillance drone reactive to attacks”, 3rd International Conference on African Development Issues (CU-ICADI), vol. 5, no. 1, pp. 437-443, 2016.
• [11] G. N. Ezeh, N. Chukwuchekwa, J. C. Ojiaku, and E. Ekeanyawu, “Pipeline vandalism detection alert with SMS”, International Journal of Engineering Research and Applications (IJERA), vol. 4, no. 9, pp. 21-25, 2014.
• [12] A. Igbajar, and A. N. Barikpoa, “Designing an intelligent microcontroller based monitoring system with alarm sensor”, International Journal of Emerging Technologies in Engineering Research (IJETER), vol. 3, no. 2, pp. 22-27. 2015.
• [13] F. C. Obodoeze, S. C. Asogwa, and F. E. Ozioko, “Oil pipeline vandalism detection and surveillance system for Niger-Delta region”, International Journal of Engineering Research & Technology (IJERT), vol. 3, no. 7, pp. 156-166, 2014.
• [14] W. M. Frank, Fluid Mechanics, 5th Edition, McGraw-Hill, 2003.
• [15] K. F. Oyedeko, and H. A. Balogun, “Modelling and simulation of a leak detection for oil and gas pipelines via transient model: a case study of the Niger Delta”, Journal of Energy Technologies and Policy, vol. 5, no. 1, pp. 16-27, 2015.
• [16] K. E. Abhulimen, and A. A. Susu, “Modelling complex pipeline network leak detection systems, process safety and environmental protection”, Trans IChemE, Part B, Process Safety and Environmental Protection, vol. 85, no. B6, pp. 579-598, 2007.
• [17] S. I. Kam, “Mechanistic modelling of pipeline leak detection at fixed inlet rate”, Journal of Petroleum Science and Engineering, vol. 70, no. 3, pp. 145-156, 2010.
• [18] F.M. White, Fluid Mechanics, 4th Edition, US: McGraw-Hill, 1998.
• [19] V. Dan-Asabe, S. A. Yaro, D. S. Yawas, D. O. Obada, N. Salahudeen, and U. Abubakar, “Comparative assessment of the mechanical properties of a new tri-composite material”, Nigeria Journal of Engineering and Applied Science (NJEAS), vol. 2, no. 1, pp. 1-9, 2015.