Real-time remote monitoring system for aquaculture water quality

Luo Hongpin, Li Guanglin, Peng Weifeng, Song Jie, Bai Qiuwei

Abstract


A multi-parameters monitoring system based on wireless network was set up to achieve remote real-time monitoring of aquaculture water quality, in order to improve the quality of aquaculture products and solve such problems as being difficult in wiring and high costs in current monitoring system. In the system solar cells and lithium cells were used for power supply. The YCS-2000 dissolved oxygen sensor, pH electrode, Pt1000 temperature sensor and ammonia nitrogen sensor were used to monitor the parameters of aquaculture water quality; STM32F103 chip was used for data processing; Zigbee and GPRS modules were used for data transmission to the remote monitoring center, where the data were stored and displayed. The system was connected with aerator to realize automatic control of dissolved oxygen concentration. The test results showed high confidence level of data transmission with a packet loss rate of 0.43%. Therefore, the system could fulfill the real-time remote monitoring of aquaculture water quality and had great practical significance in reduction of labor intensity, improvement of quality of aquatic products and protection of water environment.
Keywords: aquaculture, water quality, real-time monitoring, wireless sensor network, aerator
DOI: 10.3965/j.ijabe.20150806.1486

Citation: Luo H P, Li G L, Peng W F, Song J, Bai Q W. Real-time remote monitoring system for aquaculture water quality. Int J Agric & Biol Eng, 2015; 8(6): 136－143.

Keywords


aquaculture, water quality, real-time monitoring, wireless sensor network, aerator

Full Text:

PDF

References


Liu F F. Determination of ammonia nitrogen in industrial waste water with COD rapid analyzer. Shanxi Chemical Industry, 2011; 31(1): 49–51. (in Chinese with English abstract)

Han W T, Xu Z Q, Zhang Y, Cao P, Chen X W, Ooi S K. Real-time remote monitoring system for crop water requirement information. Int J Agric & Biol Eng, 2014; 7(6): 37–46.

Theofanis P. Lambrou, Christos G. Panayiotou. A low-cost system for real time monitoring and assessment of potable water quality at consumer sites. Proc. IEEE Sensors, 2012; pp.1–4.

Mohd Akmal Helmi A, H, Muhammad Hafiz M, Shah Rizam M. S. B. Mobile buoy for real time monitoring and assessment of water quality. 2014 IEEE Conference on Systems, Process and Control, 12–14 December 2014, Kuala Lumpur, Malaysia.

Nasirudin M A, Za’bah U N, Sidek O. Fresh water real-time monitoring system based on wireless sensor network and GSM. 2011 IEEE Conference on Open Systems (ICOS2011), Sept. 25–28, 2011, Langkawi, Malaysia.

Zhou H D, Huang Y, Liu W. Design of water quality monitoring system based on WiFi WSNs. Transducer and Microsystem Technologies, 2015; 34(5): 99–102. (in Chinese

with English abstract)

Jiang J M, Shi G D, Li Z M, Shi B, Huan J. Energy-efficient automatic monitoring system of aquaculture based on WSN. Transactions of the CSAE, 2013; 29(13): 166–174. (in Chinese with English abstract)

Li H, Liu X Q, Li J, Lu X S, Huan J. Aquiculture remote monitoring system based on IOT Android platform. Transactions of the CSAE, 2013; 29(13): 175–181. (in Chinese with English abstract)

Eduardo S, Bastos A C, Miguel N, Fernandes A J, Silva R, Ferreira M G S, et al. New fluorinated diamond microelectrodes for localized detection of dissolved oxygen. Sensors and Actuators B: Chemical, 2014; 204: 544–551.

Liu Q, Li D L, Ma D K, Liang A B, Shi Y. Design of a smart pH value transducer for measuring aquaculture water quality. Transactions of the CSAE, 2008; 24(Supp 2): 138–141. (in Chinese with English abstract)

Daudi S, Simbeye, Shi F Y. Water quality monitoring and control for aquaculture based on wireless sensor networks. Journal of Networks, 2014; 9(4): 840–849.

Li G L, Li X D, Zeng Q X. Development of automatic irrigation and soil moisture monitoring system based on solar energy in citrus orchard. Transactions of the CSAE, 2012; 28(12): 145–152. (in Chinese with English abstract)

Gurkan T, Bilel N, Orhan A, Stelios M. P. Wireless sensor network-based water quality monitoring system. Key Engineering Materials, 2014; 605: 47–50.

Zhang J, Zhang M, Wang L, Wei Q M. The design and realization of mariculture safety testing system based on wireless network. Journal of the Hebei Academy of Sciences, 2013; 30(3): 27–31. (in Chinese with English abstract)

Luo H P, Li G L, Yang F. Research on a Remote Real-time Monitoring System for the Rhizosphere Temperature and Humidity in a Citrus Garden. Journal of Southwest University, 2013; 35(12): 131–138. (in Chinese with English abstract)

Yang S F, Ke J, Zhao J M. Wireless monitoring system for aquiculture environment. Proceedings of the IEEE International Workshop on Radio-Frequency Integration Technology, Singapore, 2007; pp.265–268.

Gui F, Liu X Q. Design for multi-parameter wireless sensor network monitoring system based on ZigBee, Key Engineering Materials. 2011; 464: 90–94.

Guo X M, Zhao C J. Propagation model for 2.4 GHz wireless sensor network in four-year-old young apple orchard. Int J Agric & Biol Eng, 2014; 7(6): 47–53.

Sun D Z, Wang W X, Xu L X, Yu L. Oxygen content automatic monitoring system of the fishpond. Journal of Agricultural Mechanization Research, 2005; 7(4): 128–130. (in Chinese with English abstract)

Huang J Q, Wang W X, Jiang S, Sun D Z, Ou G C, Lu K J. Development and test of aquacultural water quality monitoring system based on wireless sensor network. Transactions of the CSAE, 2013; 29(4): 183–190. (in Chinese with English abstract)

Li X. Study on wireless detection and control system of dissolved oxygen content in fishpond based on GSM technology. Master dissertation. Tianjin: Tianjin University of Science and Technology, 2010. (in Chinese with English abstract)

Ding, Q S, Dao K M, Li D L, Zhao, L L. Design and implementation of a sensors node oriented water quality monitoring in aquaculture, Sensor Letters, 2010; 8(1): 70–74.

Markogianni V, Dimitriou E, Karaouzas. Water quality monitoring and assessment of an urban Mediterranean lake facilitated by remote sensing applications, Environmental Monitoring and Assessment. 2014; 186(8): 5009–5026.




Copyright (c)



2023-2026 Copyright IJABE Editing and Publishing Office