Study on the design of the Remote Distance Recording Automation Tool for Regional Water Utility Companies (PDAM) Water Distribution Using WIFI
DOI:
https://doi.org/10.71225/jstn.v1i3.44Keywords:
Atmega 328, ESP8266 , Wifi module, SensorAbstract
Based on the research study on the design of the Remote Distance Recording Automation Tool for PDAM Water Distribution Using WIFI, several conclusions can be drawn. The PDAM water usage recording device, which uses the Water Flow YF-S201 sensor on a microcontroller installed in the PDAM water distribution flow, can accurately read the volume of water flowing through the sensor. Experiments showed that the sensor achieved an average accuracy of 98.9% for water volumes ranging from 1.5 liters to 15 liters. This demonstrates the sensor's high precision in measuring water flow.To build the hardware and software circuit, the ESP8266 WiFi module was used on the atmega328 microcontroller. The data sent to the server via the WiFi network worked as expected as long as it was within the range of the access point. Testing was conducted with a maximum distance of 8 meters, as the WiFi access point device used in the experiment could only reach a maximum of 10 meters and operated at a frequency of 2.4 GHz. This shows that the system can function well within a certain range and supports efficient wireless data transfer.
References
P. Thomson, “Remote monitoring of rural water systems: A pathway to improved performance and sustainability?,” Wiley Interdiscip. Rev. Water, vol. 8, no. 2, p. e1502, 2021.
E. Creaco, A. Campisano, N. Fontana, G. Marini, P. R. Page, and T. Walski, “Real-time control of water distribution networks: A state-of-the-art review,” Water Res., vol. 161, pp. 517–530, 2019.
M. Irmansyah, E. Madona, N. Anggara, and others, “Design and Development of Water Distribution Monitoring System in Regional Drinking Water Companies (PDAM) Based On Internet Of Things,” in Journal of Physics: Conference Series, 2021, vol. 2111, no. 1, p. 12024.
S. Kara, I. E. Karadirek, A. Muhammetoglu, and H. Muhammetoglu, “Real-time monitoring and control in water distribution systems for improving operational efficiency,” Desalin. Water Treat., vol. 57, no. 25, pp. 11506–11519, 2016.
Parvaze, S., Kumar, R., Khan, J.N. et al. Optimization of Water Distribution Systems Using Genetic Algorithms: A Review. Arch Computat Methods Eng 30, 4209–4244 (2023). https://doi.org/10.1007/s11831-023-09944-7
Mancosu N, Snyder R, Kyriakakis G, Spano D. Water scarcity and future challenges for food production. Water 7:975–992, 2015
Liu, Z., Xu, J., Liu, M., Yin, Z., Liu, X., Yin, L., & Zheng, W. (2023) Remote sensing and geostatistics in urban water-resource monitoring: A review. Marine and Freshwater Research.
Tanyimboh TT, Seyoum AG (2020) Design optimization of water distribution networks: a real-world case study with a penalty-free multi-objective genetic algorithm using pressure-driven simulation. Water SA.
Sangroula U, Han K-H, Koo K-M, et al. (2022) Optimization of water distribution networks using genetic algorithm based SOP–WDN program. Water 14:851.
Mala-Jetmarova H, Sultanova N, Savic D (2018) Lost in optimization of water distribution systems? A literature review of system design. Water 10:307.
Jafari H, Nazif S, Rajaee T (2022) A multi-objective optimization method based on NSGA-III for water quality sensor placement with the aim of reducing potential contamination of important nodes. Water Supply 22:928–944. https://doi.org/10.2166/ws.2021.222
Pandey S, Singh RP, Mahar PS (2020) Optimal pipe sizing and operation of multistage centrifugal pumps for water supply. J Pipeline Syst Eng Pract 11:4020007. https://doi.org/10.1061/(ASCE)PS.1949-1204.0000447
Lansey KE, Mays LW (1989) Optimization model for water distribution system design. J Hydraul Eng 115:1401–1418. https://doi.org/10.1061/(ASCE)0733-9429(1989)115:10(1401)
Nicklow J, Reed P, Savic D et al. (2010) State of the art for genetic algorithms and beyond in water resources planning and management. J Water Resour Plan Manag 136:412–432. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000053
Bi W, Dandy GC (2014) Optimization of water distribution systems using online retrained metamodels. J Water Resour Plan Manag 140:4014032. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000419
E. Kurniawan, M. Adnin Nanda Pratama, and E. Eddi, “Sound-Based Light Control System in The Ship’s Room With Uno Arduino,” JSTN, vol. 1, no. 1, pp. 1–6, Apr. 2024.
H. Aji Bimansyah, S. Mulyanto Herlambang, and E. Eddi, “Design and Construction of Fire Detection Equipment on Electrical Panels Automatically Using IOT,” JSTN, vol. 1, no. 1, pp. 7–12, Apr. 2024.






