Automated water quality monitoring system development via LabVIEW for aquaculture industry (Tilapia) in Malaysia

Abstract

<p>Maintaining the quality of the water quality is one of the important aspects that play a substantial effect on the aquaculture industry especially in the tilapia industry. The quality of the water needs to be continuously monitored as any deviation from the allowed critical parameters such as water temperature and potential of hydrogen (pH) can cause unwanted scenarios such as disease, stress, higher mortality rate and profit loss. Currently, the monitoring process adopted by most fish breeders is done manually by using a portable sensor. This approach is found to be very tedious, ineffective use of manpower and time consuming particularly for the large-scale aquaculture industry. Hence, this research focuses on developing a simple, low-cost automated water quality monitoring system for the tilapia industry via LabVIEW software. The developed system will be able to monitor the parameter in real-time continuously with the capability of record and analyze each reading in a more efficient way. A data acquisition (DAQ) of NI myRIO-1900 is used as an interface between sensors and a monitoring station equipped with LabVIEW. Additionally, the developed system is equipped with an alarm system to alert the user when any deviation of the parameters occurs. Result shows that the system has a small range of average relative error of 4.28% and 6.22% for temperature and pH level respectively as compare to the portable sensor. Note that the errors are down to the selection of sensors. Furthermore, the developed prototype of the monitoring system has advantages in terms of its flexibility in extending the system with more sensors and allows a longer period of data collection without human intervention. The system is also upgradable with the integration of a control element to control the parameter when the monitored parameter is exceeded the threshold value. Succinctly, the system offers lots of advantages to the aquaculture industries with further improvement leads to better performance.</p>

Automated System of Water Quality Monitoring for Prawn Industry via Labview And Internet of Things

“…International Journal of Intelligent Engineering and Systems, Vol.17, No. 3 saltwater by using the controller that developed via the LabVIEW software. The monitored water parameters are temperature and pH level.…”

“…In aquaculture industry, water quality plays an important role in determining the health and the growth rate of the prawns [1,2]. The important parameter such as potential of hydrogen (pH) and temperature need to be monitored and controlled to make sure the water quality is at optimum level [3]. According to the previous study, the optimum pH level for prawns' culture in marine water is in range 6-9 pH level which are below 5.0 or above 9.0 are totally lethal for prawns depends on the duration of exposure [4].…”

“…Previous studies have shown many of automated systems that have been developed to monitor the water quality [3,[9][10][11][12][13]. However, these automated systems are not able to be applied in the saltwater environment as in prawn's ponds.…”

An internet of things-based pump and aerator control system

“…DO sensors can be dispensed with because water temperature affects DO levels, so they can be predicted using the Benson-Krause equation [26]. Thus, maintaining the temperature of the pond water between 28 °C and 33 °C can provide water quality with DO levels that are good enough for shrimp farming [23], [27], [28]. The contactor to control the aerator motor and water pump was replaced with two 10 A relays.…”