A FUEL PIPELINE MONITORING AND SECURITY SYSTEM USING WIRELESS SENSOR NETWORKS (WSN)

Authors

  • O. M. Ezeja Department of Electronic and Computer Engineering, University of Nigeria, Nsukka
  • C. G. Nwobi Department of Electronic and Computer Engineering, University of Nigeria, Nsukka

DOI:

https://doi.org/10.4314/njt.v43i3.14

Keywords:

Environmental Protection, Flow Rate, Leakage, Localization, Monitoring, Pipeline, WSN

Abstract

Pipeline infrastructure plays a critical role in the transportation of vital resources, including oil, gas, and water. However, pipeline failures and leaks can have devastating consequences, resulting in environmental damage, economic losses, and risk to human life. Traditional methods of leak detection, such as visual inspection and pressure testing, are often time-consuming, labor-intensive, and unreliable. With the advent of wireless sensor networks (WSNs), there is an opportunity to revolutionize pipeline monitoring and leak detection. In this paper, we present a system that can monitor and detect leakage early, to enable engineers carry out prompt maintenance. This is made possible by the use of a network of nodes in a WSN, placed along a pipeline, each of which is capable of measuring and reporting varying flow rates, indicative of possible leakages.  The system design consists of three major layers namely, the nodes layer, the cloud layer (for data logging), and the reporting layer.  Tests were conducted under various conditions. The results show that with no leakages, the average flow rates for nodes 1, 2, 3, and 4 were 16.89747978, 16.89935602, 16.90978163, and 16.93380634 respectively. Furthermore, percentage flow rate differences of -0.02550353, 29.959675, and 30.3944134 were recorded for nodes 2, 3, and 4 respectively, after leakages occurred. The high values of the percentage difference for nodes 3 and 4 indicate a significant discrepancy in flow rate, worthy of physical inspection. The system is capable of detecting faults and leakages, even in the event of sensor failure, or network disruption.

References

[1] Jawhar, I., Mohamed, N., Al-Jaroodi, J. and Zhang, S. “An Architecture for Using Autonomous Underwater Vehicles in Wireless Sensor Networks for Underwater Pipeline Monitoring”, IEEE transactions on industrial informatics, vol. 15, no. 3, March 2019, p. 1329.

[2] Imad, J., Nader, M., and Khalid, S. “A Framework for Pipeline Infrastructure Monitoring using Wireless Sensor Networks,” Article, College of Information Technology, United Arab Emirates University, UAE, pp. 2-5 (2007).

[3] Goyal, N., Nain, M., Singh, A., Abualsaud, K., Alsubhi, K., Ortega-Mansilla, A., and Zorba, N. “An Anchor-Based Localization in Underwater Wireless Sensor Networks for Industrial Oil Pipeline Monitoring” IEEE Canadian Journal of Electrical and Computer Engineering, vol. 45, no. 4, fall 2022, p. 467.

[4] Ordinioha, B., and Brisibe, S. “The human health implications of crude oil spills in the Niger delta, Nigeria: An interpretation of published studies”, Nigerian Medical Journal. 2013 Jan-Feb; 54(1): pp.10–16.

[5] Otaigbe, B. E., and Adesina, A. F. “Crude oil poisoning in a 2 year old Nigerian: A case report”. Anil Aggrawal's Internet. J Forensic Med Toxicol. 2005. [Accessed: September 15, 2020]. p. 6. http://www.anilaggrawal.com/ij/vo l_006_no_002/papers/paper004.html

[6] Jan, A. T., Azam, M., Siddiqui, K., Ali, A., Choi, I., Mohd, Q., and Haq, R. “Heavy Metals and Human Health: Mechanistic Insight into Toxicity and Counter Defense System of Antioxidant” International Journal of Molecular Sciences, Dec, 2015, pp 29592–29630.

[7] Ravichandran, S. “Possible natural ways to eliminate toxic heavy metals”, International Jounal of ChemTech research, USA. Vol. 3, No 4, pp.1886-1890. 2011.

[8] Guo, L., Liang, J., Wang, R., Luo, K., Jiang, Y., and Song, Y. “Cloud-Based Monitoring System for Foam Content at the Wellhead of Foam Drainage Gas Production”, IEEE Sensors Journal, vol. 23, no. 9, 1 May 2023, p. 9953.

[9] Huan, H., Liu, L., Yao, Y., Chen, X., Zhan, J., Liu, Q., Lu, T., and Peng, C. “Real-Time Predictive Temperature Measurement in Oil Pipeline: Modeling and Implementation on Embedded Wireless Sensing Devices”, IEEE Transactions on Industrial Electronics, vol. 68, no. 12, December 2021, p. 12689.

[10] Olugboji, O. A., Abolarin, M. S., Adedipe, O., Ajani, C., Atolagbe, G., and Aba, E. N. “Pipeline Inspection Using a Low-Cost Wifi Based Intelligent Pigging Solution”, Nigerian Journal of Technology (NIJOTECH), Vol. 41, No. 5, September, 2022, pp.844 – 853.

[11] Aba1, E. N., Olugboji, O. A., Nasir, A., Olutoye, M. A., and Adedipe, O. “Development of A Petroleum Pipeline Monitoring System for Characterization of Damages Using Fourier Transform”, Nigerian Journal of Technology (NIJOTECH), Vol. 39, No. 2, April 2020, pp. 442 – 451.

[12] Ahmed, A. l., Guqhaiman, Akanbi, O., Aljaedi, A., and Chow, C. E. “A Survey on MAC Protocol Approaches for Underwater Wireless Sensor Networks”, IEEE Sensors Journal, vol. 21, no. 3, 1 February 2021, p. 3917.

[13] Yang, H-b. “Reliability Comparison Between Plain-Based and Cluster-Based Linear Wireless Sensor Networks”, IEEE Sensors Journal, vol. 23, no. 6, 15 March 2023, p. 6303.

[14] Kim, J-H., Sharma, G., Boudriga, N., Sitharama Iyengar, S., “SPAMMS: a sensor-based pipeline autonomous monitoring and maintena-nce system”, Communication Systems and Networks (COMSNETS), 2010 Second International Conference on. IEEE, pp. 1–10.

[15] Kao, C-C., Lin, Y-S., Wu, G-D., Huang, C-J., “A comprehensive study on the internet of underwater things: applications, challenges, and channel models”, Sensors, vol. 17, no.7, 2017 July, p. 1477.

[16] Mohammed, Y. A., Wazir, Z. K., Wajeb, G., Muhammad, K. K., and Quratulain, A., “Wireless Sensor Networks in oil and gas industry: Recent advances, taxonomy, requirements, and open challenges”, Journal of Network and Computer Applications, March 2018, p. 87–97. www.elsevier.com/locate/jn

[17] Aliyu, F., Al-Shaboti, Mohammed, Garba, Yau, Sheltami, Tarek, Barnawi, Abdulaziz, Morsy, Mohammed A., “Hydrogen sulfide (H2S) gas safety system for oil drilling sites using wireless sensor network”, Procedia Comput. Sci. 2015, vol. 63, pp.499–504.

[18] Ali Salman et al,, “SimpliMote: a wireless sensor network monitoring platform for oil and gas pipelines”, IEEE Systems Journal, 2018, vol. 12 no. 1, p. 778–789.

[19] Oyubu A.O., Mbachu C.B; Nwabueze C.A; and Iloh J.P, “The Challenges that Frustrate the Deployment and use of Wireless Sensor Networks for Oil Pipeline Monitoring in the Niger Delta Region of Nigeria”, International Journal of Innovative Science and Research Technology, Vol. 7, Issue 3, March 2022, p. 1546 – 1549.

[20] Rashid, S., Qaisar, S., Saeed, H., and Felemban, E. “A method for distributed pipeline burst and leakage detection in wireless sensor networks using transform analysis,” International Journal of Distributed Sensor Network., 2014, vol. 10, pp. 1–14.

[21] Sivi Varghese, Anandhu A Panicker, Ashique Sunil Kumar, Sangeeth M, Vibin Varghese, “Mobile Application and Wireless Sensor Network for Pipeline Monitoring and Control”, SSRG International Journal of Industrial Engineering (SSRG-IJIE), Volume 5 Issue 1, Jan – April 2018, pp. 17 – 20.

[22] Md Danish Akhter, Indumathi, S. K., and Prasath, J. S. “Implementation of Automated Gas Leakage Monitoring System Using Zigbee”, International Journal of Advances in Engineering, 2015, vol. 1, issue 2, pp. 72 – 77.

[23] Liang, W., Zhang, X., Xiao, Y., Wang, F., Zeng, P. and Yu, H. “Survey and experiments of WIA-PA specification of industrial wireless network,” Wireless Communications and Mobile Computing, vol. 11, no. 8, p. 1197–1212, 2011.

[24] Abbas, Z., Anjum, M. R., and Younus, M. U. “Monitoring of Gas Distribution Pipelines Network Using Wireless Sensor Networks”, Wireless Personal Communications, 2021, vol. 11, no. 7, pp. 2575–2594.

[25] Siswantoro, N., Doğan, A., Priyanta, D., Zaman, M. B., Semin, “Possibility of Piezoele-ctric Sensor to Monitor Onshore Pipeline in Real Time Monitoring”, International Journal of Marine Engineering Innovation and Research, Vol. 3(4), Mar. 2019, pp. 128-133

[26] Owojaiye, G., and Sun, Y. “Focal design issues affecting the deployment of wireless sensor networks for pipeline monitoring”, Ad Hoc Networks, 2013, vol. 11, no. 3, pp. 1237–1253.

[27] Maurya, M., and Shukla, S. R. N. “Current Wireless Sensor Nodes (Motes): Performance metrics and Constraints,” International Journal of Advanced Research in Electronics and Communications Engineering, 2013 vol. 2, no. 1.

[28] Alsaade, F., Zaman, N., Abdullah, A., and Dawood, M. Z. “Enhancing Surveillance and Security of Oil Pipelines Transportation Using Wireless Sensor Network”, Middle-East Journal of Scientific Research, 2012, vol. 11 no.8, pp. 1029-1035.

[29] Azubogu, A. C., Idigo, V. E., Nnebe, S. U., Oguejiofor, O. S., and Simon, E. “Wireless Sensor Networks for Long DistancenPipeline Monitoring”, World Academy of Science, Engineering and Technology International Journal of Electronics and Communication Engineering, 2013, Vol:7, No:3

Downloads

Published

2024-09-20

Issue

Section

Computer, Telecommunications, Software, Electrical & Electronics Engineering

How to Cite

A FUEL PIPELINE MONITORING AND SECURITY SYSTEM USING WIRELESS SENSOR NETWORKS (WSN). (2024). Nigerian Journal of Technology, 43(3). https://doi.org/10.4314/njt.v43i3.14