Keywords:-

Keywords: Wireless sensor network, sensor node, pressure data, arduino board, pressure sensor, GSM module.

Article Content:-

Abstract

This study introduces the build out and implementation of a wireless sensor network that was used to monitor dynamic pressure of water flowing inside a pipe against leak. At 5 chosen points along a prototype water pipeline, pressure sensors (HK1100C) were used to collect pressure data and its voltage data equivalent. Five locally designed and constructed field sensor nodes made up of  pressure sensors, Ardiuno boards containing an 8-bit ATmega328P microcontrollers, GSM SIM800L modules, and power sources were used to process and analyze the pressure data such that when the pressure data falls below 9psi, 9.5psi, 10psi, 10.5psi, and 11psi respectively at the 5 chosen points, the information is processed by the Ardiuno boards containing  an 8-bit Atmega328P microcontrollers and then passed on to the GSM SIM800L modules of respective field sensor nodes which then transmit these information as radio waves to the master sensor node of the network that has an LCD JHD162 module and a buzzer.. The received radio waves were converted back into electrical signals by the transceiver contained in the GSM SIM800L module of the master sensor node and used to power the LCD and buzzer to indicate ‘low pressure’ and sound an alarm simultaneously. The location of the pressure drop is identified and the cause rectified by trained personnel. SIM cards of chosen GSM networks were inserted into the various GSM SIM800L modules contained in the sensor nodes (fields and master nodes) for communication. Also, an experiential evaluation of the relationship between leaks and pressure variations was carried out at one of the chosen 5 points along the prototype water pipeline.

References:-

References

AL-Kadi, T., AL-Tuwaijri, Z., & AL-Omran, A. (2013). Wireless sensor networks for leak detection in underground pipelines: A survey paper. The 5th International Symposium on application of Ad hoc and sensor networks (AASNET’ 13). Procedia Computer Science 21 (2013) 491 – 498. Available online at www.sciencedirect.com.

Boaz, L., Kaijage, S, & Sinde, R. (2014). An overview of pipeline leak detection and location systems. In Proc. Of Science, Computing, and Telecommunications (PACT), 2014 Pan African Conference on IEEE, p. 133 – 137.

*Datta, S. & Sarkar, R. (2016).

Pang, C., Xu G., Shan, G., & Zhang, Y. (2020). A New Energy Efficient Management Approach for Wireless Sensor Networks in Target Tracking, Defence Technology,

https://doi.org/10.1016/j.dt.2020.05.022.

Akyildiz, F.I., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor network: A survey. Journal of Computer Networks, 38(4)

Asada, G. (1998). Wireless integrated network sensors: Low power systems on a chip.In Proc. Of 24th European Solid-State Circuits Conference, The Hague, Netherlands, pp. 5 – 14.

Clark, D. & Culler, D. (2004). Encryption advances to meet Internet challenges. IEEE Computer online magazine, http://www.computer.org/computer/articles/August/technews800.htm.

Karray, F., Garcia-Ortiz, A, Jmal, M.W., Obeid, A.M, & Abid, M. (2016). Earnpipe: A testbed for smart water pipeline monitoring using wireless sensor network. 20th International Conference on Knowledge Based and Intelligent Information and Engineering Systems. Procedia Computer Science 96 (2016) 285 – 294. Available online at www.sciencedirect.com.

Nwalozie, G. & Azubogu, A.C.O (2014). Design and implementation of pipeline monitoring system using acceleration-based wireless sensor network. The International Journal of Engineering and Science (IJES),3(9), 49 – 58.

Othman, M.F. & Shazali, K. (2012). Wireless sensor network applications: A study in environment monitoring system. International Symposium on Robotics and Intelligent Sensors, Engineering Procedia.Available online at www.elsevier.com/locate/procedia.

Okpare, A.O.(2019). Development and implementation of a wireless sensor network for monitoring oil pipeline. Ph.D thesis in Electrical and Electrical Engineering Department, School of Post Graduate Studies, Ambrose Alli University, Ekpoma, Edo State, Nigeria.

Okpare, A.O., Anyasi, F.I., & Ebegba, D. (2019). Design and implementation of a wireless sensor network for monitoring oil pipeline. Current Journal of Applied Science and Technology, 32(2), 1 – 13.

Sadeghion, A.M.,Metje, N., Chapman, D.N. & Anthony, C.J. (2014). SmartPipes: Smart wireless sensor networks for leak detection in water pipelines. Journal of Sensor and Actuator Networks, 3, 64 – 78, doi: 10.3390/jsan3010064.

Singh, S., Woo, Raghavendra, & Pan (2010). Power-aware routing in mobile ad hoc network. In Mobile Computing and Networking, pp. 181 – 190.

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Anthony, O. O., Jonathan, E. O., Gabriel, E. I., Ikponmwosa, O., Smith, O. O., Kazeem, O. U., Oyubu, O. A., Gabriel, A., Ezekiel, E. E., Jeffery, O. U., Anthony, A. C., & Kevin, A. G. (2023). Dynamic Pressure Monitoring Using a Wireless Sensor Network. International Journal Of Mathematics And Computer Research, 11(4), 3333-3338. https://doi.org/10.47191/ijmcr/v11i4.04