Design and Implementation of IoT-Based Water Pipe Pressure Monitoring Instrument
DOI:
https://doi.org/10.14203/jet.v21.41-44Keywords:
water pressure, pressure monitoring, PDAM, water leakage, IoTAbstract
The water pressure monitoring system in the PDAM pipeline networks has been successfully developed for operation and maintenance of water leaks in a real-time manner. This research aims to design a water pressure monitoring system in operational piping networks to identify anomalies as early as possible. The system is built using a microcontroller, a 1.2 MPa fluid pressure sensor and a control system equipped with a GSM wireless communication module, an Analog to Digital Converter module with 16-bit resolution, a real-time clock peripheral, an OLED display 128x64, and a micro SD card. The developed system was tested in a pressure range of 0.200 - 0.800 bar with 30 repetitions with a RMSE of 0.058 bar. This system has a deterministic coefficient of 0.885 against a standard manometer. The system implemented in the field successfully sends data to the server with a success rate of 96.0%. Data is displayed on a monitoring dashboard that can be accessed via a computer or smartphone.
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References
B. Di Martino, K.-C. Li, L. T. Yang, and A. Esposito, “Trends and Strategic Researches in Internet of Everything,” in Internet of Everything Algorithms, Methodologies, Technologies and Perspectives, B. Di Martino, K.-C. Li, L. T. Yang, and A. Esposito, Eds. Singapore: Springer, 2018, pp. 1–12. Crossref
F. Khodadadi, A. V. Dastjerdi, and R. Buyya, “Internet of Things: an overview,” in Internet of Things, R. Dastjerdi and B. A. Vahid, Eds. Elsevier, 2016, pp. 3–27. Crossref
D. Serpanos and M. Wolf, Internet-of-Things (IoT) Systems, First. Cham: Springer International Publishing, 2018.
M. Margolis, Arduino Cookbook, 2nd ed. Sebastopol: O’Reilly Media, 2012.
D. Uckelmann, M. Harrison, and F. Michahelles, “An Architectural Approach Towards the Future Internet of Things,” in Architecting the Internet of Things, D. Uckelmann, M. Harrison, and F. Michahelles, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011, pp. 1–24. Crossref
M. Banzi and M. Shiloh, Make: Getting started with Arduino, Third. Sebastopol: Maker Media, Inc., 2014.
A. S. Ali, Z. Zanzinger, D. Debose, and B. Stephens, “Open Source Building Science Sensors (OSBSS): A low-cost Arduino-based platform for long-term indoor environmental data collection,” Build. Environ., vol. 100, pp. 114–126, 2016. Crossref
H. Nugra et al., “A Low-Cost IoT Application for the Urban Traffic of Vehicles, Based on Wireless Sensors Using GSM Technology,” in Proc. 2016 IEEE/ACM 20th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), 2016, pp. 161–169. Crossref
M. M. Rahman, Noor-E-Jannat, M. O. Islam, and M. S. Salakin, “Arduino and GSM based smart energy meter for advanced metering and billing system,” in Proc. 2nd Int. Conf. Electr. Eng. Inf. Commun. Technol. iCEEiCT 2015, 2015, pp. 21–23. Crossref
K. C. Okafor, G. C. Ononiwu, U. Precious, and A. C. Godis, “Development of Arduino Based IoT Metering System for On - Demand Energy Monitoring,” Int. J. Mechatronics, Electr. Comput. Technol., vol. 7, no. 23, pp. 3208–3224, 2017.
H. Báez, I. Vergara-Laurens, L. Torres-Molina, L. G. Jaimes, and M. A. Labrador, “A real-time flood alert system for parking lots,” in Proc. 2017 IEEE 7th Annu. Comput. Commun. Work. Conf. CCWC, 2017, pp. 1–5. Crossref
M. N. Rajkumar, S. Abinaya, and V. V. Kumar, “Intelligent irrigation system - An IOT based approach,” in Proc. IEEE Int. Conf. Innov. Green Energy Healthc. Technol. - 2017 (IGEHT 2017), 2017, pp. 1–5. Crossref
W. Honghui et al., “Research of the Hardware Architecture of the Geohazards Monitoring and Early Warning System Based on the Iot,” Procedia Comput. Sci., vol. 107, pp. 111–116, 2017. Crossref
PDAM Tirta Pakuan Kota Bogor, “Informasi Gangguan,” 2020. [Online]. Available: http://www.pdamkotabogor.go.id/thethme/index.php?m=12&hal=1. [Accessed: 11-Nov-2020].
Kementerian PUPR, Pedoman Pelaksanaan Efisiensi Energi di PDAM. 2014.
“DS 3231 RTC General Description,” Maxim Integrated, 2015.
“SIM900 AT Commands Manual V1.11,” Shanghai SIMCom Wireless Solutions, 2015.
R. S. Sedha, Electronic Measurements and Instrumentation. S CHAND & Company Limited, 2013.
T. Chai and R. R. Draxler, “Root mean square error (RMSE) or mean absolute error (MAE)? -Arguments against avoiding RMSE in the literature,” Geosci. Model Dev., vol. 7, no. 3, pp. 1247–1250, 2014. Crossref
A. Gilat and V. Subramaniam, Numerical Methods for Engineers and Scientists, 3rd ed. John Wiley & Sons, Inc, 2013.
W. Mendenhall, R. J. Beaver, and B. M. Beaver, Introduction to Probability and Statistics, 14th ed. Boston: Brooks/Cole, 2013.
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