GSM based Water Salinity Monitoring System for Water Gate Management in Salt Farms

Enriquez, M. D.; Abella, A. P. N.

doi:10.22061/jecei.2023.9564.633

Document Type : Original Research Paper

Authors

College of Engineering, Occidental Mindoro State College, San Jose, Occidental Mindoro, Philippines.

https://doi.org/10.22061/jecei.2023.9564.633

Abstract

Background and Objectives: Salt production is an ancient industry that still used primitive or traditional systems of evaporation. As technology continues to prosper in all aspects of life; the use of technology-based products is still a challenge in salt production. With the tedious activities and processes in salt farming; salt producers and salt farmers continue to look for alternatives to lessen the hard works. Salt farm activities initially started with the intrusion of saline water into the salt beds, but monitoring of the saline water is needed to ensure that only saline water can enter the salt farms to ensure the quantity and quality of salts.
Methods: This study aims to present a GSM-based water salinity monitoring system to lessen the frequent and manual monitoring of water salinity. The system is equipped with a solar panel, solar charger control, 12V battery, 12V relay, Arduino Uno, and GSM Module.
Results: The overall rating of 3.32 reflects that the developed system met the design functions; the materials are appropriate and the specifications meet the desired purpose; the system is efficient and consistent with its desired objectives of lessening the manual activities involved in the monitoring of water salinity. As the pH and conductivity sensors read the salinity value, it send signals to the Arduino Uno; when the salinity level reads 34,000-35,000ppm a signal trigger the GSM Module to send a message to the gate valve. The performance efficiency of the system implied that the reaction of the Arduino Uno in triggering the GSM Module is in real-time as the salinity readings are received.
Conclusion: The real-time reaction of the Arduino Uno to send signals to the GSM Module proved the advantages of using the system and the automatic salinity readings can lessen the frequent and laborious activity in water salinity monitoring.

Keywords

20.1001.1.23223952.2023.11.2.13.5

Main Subjects

Arduino Uno

Open Access

This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit: http://creativecommons.org/licenses/by/4.0/

Publisher’s Note

JECEI Publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Publisher

Shahid Rajaee Teacher Training University

References

[1] M. Affam, D. N. Asamoah, “Economic potential of salt mining in ghana towards the oil find,” Res. J. Environ. Earth Sci., 3(5): 448-456, 2011.

[2] M. M. Abu-Khader, “Viable engineering options to enhance the NaCl quality from the Dead Sea in Jordan,” J. Cleaner Prod., 14: 80-86, 2006.

[3] Business Mirror, Occidental Mindoro boosting salt industry through new technology, 2017.

[4] J. Arriola-Morales, J. Batlle-Sales, M. A. Valera, G. Linares, O. Acevedo, “Spatial variability analysis of soil salinity and alkalinity in an endoergic volcanic watershed,” Int. J. Ecol. Dev. 14(F09): 1–17, 2009.

[5] A. J. Skinner, M. F. Lambert, “An automatic soil pore-water salinity sensor based on a wetting-front detector,” IEEE Sens. J. 11(1): 245-254, 2011.

[6] N. Fahmi, S. Huda, E. Prayitno, M. U. H. Al Raysid, M. C. Roziqin, M. U. Pamenang, “A prototype of monitoring precision agriculture system based on WSN,” in Proc. International Seminar on Intelligent Technology and Its Applications (ISITIA): 323-328, 2017.

[7] S. G. Kannan, G. Thilagavathi, “Online farming based on embedded systems and wireless sensor networks,” in Proc. International Conference on Computation of Power, Energy, Information and Communication (TCCPEIC): 71-74, 2013.

[8] D. Z. Stupar, J. S. Bajić, A. V. Joža, B. M. Dakić, M. P. Slankamenac, M. B. Živanov, E. Cibula, “Remote monitoring of water salinity by using side-polished fiber-optic U-shaped sensor,” in Proc. 15th International Power Electronics and Motion Control Conference (EPE/PEMC), LS4c-4, 2012.

[9] Z. Shareef, S. R. N. Reddy, “Design and wireless sensor Network Analysis of Water Quality Monitoring System for Aquaculture,” in Proc. the International Conference on Computing Methodologies and Communication, Erode, India, 405–408, 2019.

[10] S. Suryono, S. P. Putro, W. Widowati, S. Sunarno, “A capacitive model of water salinity wireless sensor system based on wifi-microcontroller,” in Proc. 6th International Conference on Information and Communication Technology (ICoICT): 211-215, 2018.

[11] M. S. Wibaya, K. Putra, N. Wendri, “Design of salinity content (salinometer) tools digital based on microcontroller ATmega328,” Int. J. Sci. Res. (IJSR), 8(1): 1678-1680, 2019.

[12] F. E. Idachaba, J. O. Oloweleni, A. E. Ibhaze, O. O. Oni, “IoT Enabled Real-Time Fishpond Management System,” Presented at the World Congress on Engineering and Computer Science Vol. I, San Francisco, USA, 2017.

[13] J. Y. Lin, H. L. Tsai, W. H. Lyu, “An Integrated Wireless Multi-Sensor System for Monitoring the Water Quality of Aquaculture,” Sensors, 21(24): 8179, 2021.

[14] V. A. Wardhany, H. Yuliandoko, M. U. Subono, A. R. Harun, I. G. Puja Astawa, “Fuzzy logic based control system temperature, pH and water salinity on vanammei shrimp ponds,” in Proc. International Electronics Symposium on Engineering Technology and Applications (IES-ETA): 145-149, 2017.

[15] X. Liu, X. Gong, Y. Liu, “Research on salinity detecting based on embedded CAN-ethernet gateway,” in Proc. International Conference on Measuring Technology and Mechatronics Automation: 257-260, 2009

[16] M. Asif, M. Abdullah, M. Arif, J. Nouman, M. Atteq, M. Saad, M. Ghulam, “GSM based advanced water salinity and tds monitoring system,” Global Sci. J., 8(8): 1792-1816, 2020.

[17] T. P. Truong, D. T. Nguyen, T. Huynh, “Design and implementation of an iot-based river water salinity monitoring system using MSP432,” J. Phys. Conf. Ser., 1878(1): 12-23, 2021.

[18] L. K. S. Tolentino, C. P. De Pedro, J. D. Icamina, J. B. Navarro, L. J. D. Salvacion, G. C. D. Sobrevilla, G. A. M. Madrigal, “Development of an IoT-based intensive aquaculture monitoring system with automatic water correction,” Int. J. Comput. Digital Syst, 10: 1355-1365, 2020.

[19] M. Koul, P. B. Salunkhe, M. SinghGill, “ZIGBEE and GSM based smart agriculture system,” Int. J. Sci. Res. Dev., 3(3): 2321-0613, 2015.

[20] R. Subalakshmi, A. Anu Amal, S. Arthireena, “GSM based automated irrigation using sensors,” Int. J. Trend Res. Dev., 6(11), 2106-2108, 2017.

[21] N. S. Haron, M. K. Mahamad, I. A. Aziz, M. Mehat, “Remote water quality monitoring system using wireless sensors,” in Proc. the 8th WSEAS International Conference on Electronics, Hardware, Wireless and Optical Communications (EHAC'09): 148-154, 2009.

[22] A. Sowjanya, S. Sai Chandu, D. Lokesh, K. Shiva Shankar Reddy, “Arduino based water quality monitoring and notification system using GSM,” Int. J. Creative Res. Thoughts, 6(2): 218-221, 2018.

[23] S. Gokulanathan, P. Manivasagam, N. Prabu, T. Venkatesh, “A GSM based water quality monitoring system using Arduino,” Shanlax Int. J. Arts Sci. Humanit., 6(4): 22-26, 2019.

LETTERS TO EDITOR

Journal of Electrical and Computer Engineering Innovations (JECEI) welcomes letters to the editor for the post-publication discussions and corrections which allows debate post publication on its site, through the Letters to Editor. Letters pertaining to manuscript published in JECEI should be sent to the editorial office of JECEI within three months of either online publication or before printed publication, except for critiques of original research. Following points are to be considering before sending the letters (comments) to the editor.

[1] Letters that include statements of statistics, facts, research, or theories should include appropriate references, although more than three are discouraged.

[2] Letters that are personal attacks on an author rather than thoughtful criticism of the author’s ideas will not be considered for publication.

[3] Letters can be no more than 300 words in length.

[4] Letter writers should include a statement at the beginning of the letter stating that it is being submitted either for publication or not.

[5] Anonymous letters will not be considered.

[6] Letter writers must include their city and state of residence or work.

[7] Letters will be edited for clarity and length.

Name *

Email Address *

Affiliation *

Comments *

Security Code *

Journal of Electrical and Computer Engineering Innovations (JECEI)

GSM based Water Salinity Monitoring System for Water Gate Management in Salt Farms

References

References

Send comment about this article

Volume 11, Issue 2
July 2023
Pages 383-390

GSM based Water Salinity Monitoring System for Water Gate Management in Salt Farms

References

References

Send comment about this article

Volume 11, Issue 2July 2023Pages 383-390

Volume 11, Issue 2
July 2023
Pages 383-390