Design and Implementation of Embedded Water Quality Control and Monitoring System for Indoor Shrimp Cultivation

Oskar Natan, Agus Indra Gunawan, Bima Sena Bayu Dewantara

Abstract


Maintaining the water quality of a pond is one of the main issues on aquaculture management. Water quality represents the condition of a pond based on several water parameters such as dissolved oxygen (DO), temperature, pH, and salinity. All of these parameters need to be strictly supervised since it affects the life-sustainability of cultivated organisms. However, DO is said to be the main parameter since it affects the growth and survival rate of the shrimp. Therefore, a water quality control and monitoring system is needed to maintain water parameters at acceptable value. The system is developed on a mini-PC and microcontroller which are integrated with several sensors and actuator forming an embedded system. Then, this system is used to collect water quality data that is consisting of several water parameters and control the DO as the main parameter. In accordance with the stability needs against the sensitive environment, a fuzzy logic-based controller is developed to maintain the DO rate in the water. This system is also equipped with SIM800 module to notice the farmer by SMS, built-in wifi module for web-based data logging, and improved with Android-based graphical user interface (GUI) to perform user-friendly monitoring. From the experiment results, a fuzzy controller that is attached to the system can control the DO at the acceptable value of 6 ppm. The controller is said to have high robustness since its deviation for long-time use is only 0.12 ppm. Another test shows that the controller is able to overcome the given disturbance and easily adapt when the DO’s set point is changed.  Finally, the system is able to collect and store the data into cloud storage periodically and show the data on a website.

Keywords


monitoring system; embedded system; fuzzy logic controller; water quality; shrimp cultivation

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References


D. Yuswantoro, O. Natan, A. N. Angga, A. I. Gunawan, Taufiqurrahman, B. S. B. Dewantara, A. Kurniawan, “Fuzzy logic-based control system for dissolved oxygen control on indoor shrimp cultivation,” International Electronics Symposium on Engineering Technology and Applications (IES-ETA), pp. 37-42, 2018.

H. Muharijadi Atmomarsono, Supito, Markus Mangampa, and H. W. Pitoyo, Better Management Practice Budidaya Udang Vanamei, 1st ed. Jakarta: WWF Indonesia, 2014.

J. Kaur, G. Jaligama, J. F. Atkinson, J. V Depinto, A. D. Nemura, and A. Drive, “Modeling Dissolved Oxygen in a Dredged Lake Erie Tributary,” in International Association Great Lakes Res., vol. 33, no. 1, pp. 62–82, 2007.

V. Hull, L. Parrella, and M. Falcucci, “Modelling dissolved oxygen dynamics in coastal lagoons,” in Ecological Modelling vol. 1, pp. 468–480, 2007.

N. Martin, P. Mceachern, T. Yu, and D. Z. Zhu, “Model development for prediction and mitigation of dissolved oxygen sags in the Athabasca River, Canada,” in Science of the Total Environment, vol. 443, pp. 403–412, 2013.

P. G. Lee, “A Review of Automated Control Systems for Aquaculture and Design Criteria for Their Implementation,” in Aquaculture Engineering, Vol. 14, No. 3, pp. 205 – 227, 1995.

Raynitchka Tzoneva, "Optimal PID control of the dissolved oxygen concentration in the wastewater treatment plant," AFRICON 2007, Windhoek, 2007, pp. 1-7.

Wei Tang, Qian Feng, Mengxiao Wang, Qian Hou and Leilei Wang, "Expert system based dissolved oxygen control in APMP wastewater aerobic treatment process," 2008 IEEE International Conference on Automation and Logistics, Qingdao, 2008, pp. 1308-1313.

A. Zawadzki and R. Piotrowski, "Nonlinear fuzzy control of the dissolved oxygen in activated sludge processes," Proceedings of 2012 IEEE 17th International Conference on Emerging Technologies & Factory Automation (ETFA 2012), Krakow, 2012, pp. 1-7.

L. Fan and K. Boshnakov, "Fuzzy logic based dissolved oxygen control for SBR wastewater treatment process," 2010 8th World Congress on Intelligent Control and Automation, Jinan, 2010, pp. 4142-4146.

S. Mirghasemi, C. J. B. Macnab and A. Chu, "Dissolved oxygen control of activated sludge biorectors using neural-adaptive control," 2014 IEEE Symposium on Computational Intelligence in Control and Automation (CICA), Orlando, FL, 2014, pp. 1-6.

O. Gehan, E. Pigeon, M. Pouliquen, L. Fall and R. Mosrati, "Nonlinear control of dissolved oxygen level for Pseudomonas putida bacterium fermentation," 2016 IEEE Conference on Control Applications (CCA), Buenos Aires, 2016, pp. 1215-1220.

S. Saseendran and V. Nithya, "Automated water usage monitoring system," 2016 International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, 2016, pp. 0099-0103.

X. Fang and K. Zhang, "Design and implementation of constant pressure water supply monitoring system based on STM32," 2017 IEEE 17th International Conference on Communication Technology (ICCT), Chengdu, 2017, pp. 1487-1491.

J. Yu, W. Wang, H. Yin, G. Jiao and Z. Lin, "Design of Real Time Monitoring System for Rural Drinking Water Based on Wireless Sensor Network," 2017 International Conference on Computer Network, Electronic and Automation (ICCNEA), Xi'an, 2017, pp. 281-284.

A. Anvari, J. Delos Reyes, E. Esmaeilzadeh, A. Jarvandi, N. Langley and K. R. Navia, "Designing an automated water quality monitoring system for West and Rhode Rivers," 2009 Systems and Information Engineering Design Symposium, Charlottesville, VA, 2009, pp. 131-136.

Y. K. Taru and A. Karwankar, "Water monitoring system using arduino with labview," 2017 International Conference on Computing Methodologies and Communication (ICCMC), Erode, 2017, pp. 416-419.

K. Gopavanitha and S. Nagaraju, "A low cost system for real time water quality monitoring and controlling using IoT," 2017 International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, 2017, pp. 3227-3229.

M. Afifi, M. F. Abdelkader and A. Ghoneim, "An IoT system for continuous monitoring and burst detection in intermittent water distribution networks," 2018 International Conference on Innovative Trends in Computer Engineering (ITCE), Aswan, 2018, pp. 240-247.

T. Perumal, M. N. Sulaiman and C. Y. Leong, "Internet of Things (IoT) enabled water monitoring system," 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE), Osaka, 2015, pp. 86-87.

J. H. Gultom, M. Harsono, T. D. Khameswara and H. Santoso, "Smart IoT Water Sprinkle and Monitoring System for chili plant," 2017 International Conference on Electrical Engineering and Computer Science (ICECOS), Palembang, 2017, pp. 212-216.

Y. Eminaga, M. Brischwein, J. Wiest, J. Clauss, S. Becker, and B. Wolf, “Sensors and Actuators B : Chemical Self calibration of a planar dissolved oxygen sensor,” Sensors and Actuators B: Chemical, vol. 177, pp. 785–791, 2013.

S. Bassini, A. Antonelli, I. Di Piazza, and M. Tarantino, “Oxygen sensors for Heavy Liquid Metal coolants : Calibration and assessment of the minimum reading temperature,” Journal of Nuclear Material, vol. 486, pp. 197–205, 2017.

B. Sun, P. G. Fitch, I. A. Johns, and G. W. Skyring, “Calibration and Field Trial of a Dissolved Oxygen Membrane Electrode: Long-Term Automatic Analyser,” Technical Note, vol. 31, no. 2, pp. 362–365, 1997.

B. S. B. Dewantara, J. Miura, “Optimizing Fuzzy Rule Base for Illumination Compensation in Face Recognition using Genetic Algorithms,” EMITTER International Journal of Engineering Technology, vol. 2, no. 2, pp. 62-79, 2014.

G. Abror, R. T. Widodo, M. U. H A. Rasyid, “Dynamic Sleep Scheduling on Air Pollution Levels Monitoring with Wireless Sensor Network,” EMITTER International Journal of Engineering Technology, vol. 5, no. 2, pp. 209-233, 2017.




DOI: 10.24003/emitter.v7i1.344

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