A system architecture for water quality monitoring system using wired sensors

Haron, Nazleeni Samiha; Mahamad, Mohd Khuzaimi; Aziz, Izzatdin Abdul; Mehat, Mazlina

doi:10.1109/itsim.2008.4631927

Cited by 13 publications

(6 citation statements)

References 1 publication

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“…Data are homogenized using the Signal K format by the Data Talkers component, which handles the parsing of most part of NMEA0183, 9 NMEA2000 over NMEA0183 $PCDIN, 10 and SeaTalk1 over NMEA0183 $STALK 11 sentences. The Data Talkers are bi-directional components because it also acts as data repeater or data forwarder on the same or different interface.…”

Section: Dynamomentioning

confidence: 99%

“…The livestock sampling and the microbiological spottily analysis fail if the goal is to collect a consistent data time series needed by any process aimed to safeguard human health. On the other hand, the availability of technologies for remote water quality monitoring using wireless sensors [11] is totally feasible in a limited extended environment. In addition to this, in open sea, the extreme weather events, the aggressive saline environment, the network and energy unavailability and, and last but not least, the need for continuous maintenance and sensors calibration could have a negative impact on the use of a technical solution entirely based on the IoT approach.…”

Section: Introductionmentioning

confidence: 99%

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Coastal Marine Data Crowdsourcing Using the Internet of Floating Things: Improving the Results of a Water Quality Model

et al. 2020

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While the everything as a sensor is a typical data gathering pattern in the Internet of Things (IoT) applications in contexts such as smart cities, smart factories, and precision agriculture, among others, the use of the same technique in the coastal marine environment is still not explored at full potential. Nevertheless, when it comes to maritime scenarios, the application of IoT and networks of distributed sensors and actuators are still limited, even though the development of marine electronics and extreme network technologies are present for decades also in this area. In this paper, we first introduce the concept of the Internet of Floating Things (IoFT), which extends the IoT to the maritime scenario. Next, we present our latest implementation of the DYNAMO (Distributed leisure Yachts sensor Network for Atmosphere and Marine Observations) system, a framework for coastal data collection from sensors and devices deployed in marine equipment. To demonstrate the importance of IoFT data collection in the real-world environmental science context, we consider a scientific workflow for coastal water quality. The selected application focuses on predicting the spatial and temporal pattern of sea pollutants and their possible presence and time of persistence in the proximity of mussel farm areas in the Bay of Pozzuoli in Italy. The pollutants are simple Lagrangian particles, so the ocean dynamics play an important role in the simulation. Our results show that integrating crowdsourced bathymetry data in the workflow numerical model setup improves the accuracy of the final results, allowing for a more detailed spatial distribution pattern of the sea current driving the Lagrangian tracers. INDEX TERMSThe Internet of Floating Things, marine data crowdsourcing, food quality, mussel farm.

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Section: Dynamomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Coastal Marine Data Crowdsourcing Using the Internet of Floating Things: Improving the Results of a Water Quality Model

et al. 2020

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“…pH value = 7 -output/ 59.16mv (1) The output from the sensor in millivolt will automatically convert into pH value after these formulas apply in programming. Arduino Uno is acting as a controller to control most of Input and Output components.…”

Section: System Componentmentioning

confidence: 99%

“…Aquaculture is the cultivating of sea-going living being in nature of controlled marine or freshwater conditions. The examination presents aquaculture industry is blossoming quickly over the most recent 20 years and it has been recognized as the most well-known technique in the fishery sector [1]. However, water quality is the primary factor in deciding the achievement or disappointment of aquaculture cultivating.…”

Section: Introductionmentioning

confidence: 99%

Freshwater pH Level Control and GUI System for Prawn Breeding

Yasin¹

2020

IJATCSE

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Prawn culture is one developing area of the aquaculture in Malaysia towards water quality monitoring good health of aquatic ecosystems for prawn habitats. Currently, prawn farmer in Asian country still applied a manual technique to add chemicals to control the pH water level. Automation system is needed to switch them to automatic techniques to manage water pH level. This research has designed a control and monitoring system of pH level. The pH water reading data are stored in a database and an automated system reacted to change and control the pH water level either alkaline or acidic is designed based on the data captured. Concentrated on observation and controlling the pH level is measured. Graphical User Interface computer program with Visual C is used in the system to monitor and control the status of prawn tank supported. Admin will interact with electronic devices through GUI interface and visual indicator to control the tank condition. The system is designed using Arduino Uno controller to manage the flow control to analyses feedback signal from a pH detector that measured the value of the pH level in the water and controlled method executed between bases alkaline and acidic water level. Results present an extended pH changes depends on the higher concentration of alkaline or acids. Pumped-up of water actions using the pump is automatically moved to maintain back the pH level at ideal and optimum condition. The development of control system mechanism on water pH level is produced for higher growth of prawn and low cost of force in the market. This research significant and helps towards small-scale farmers for prawn breeding.

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“…This cause in drift in the pH values [7], and result in poor and slow response [8] of the device. The second phenomenon is pH dependent Temperature Coefficient [9] and non linear temperature dependent mobility in MOSFETS of ISFET device [10]. Also it was observed that in ISFET drift rate has an exponential incremental tendency with pH values as well as Temperature.…”

Section: Introductionmentioning

confidence: 95%

On the Performance of ISFET-based Device for Water Quality Monitoring

Whig¹,

Ahmad²

2011

IJCNS

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A new configuration realizing water quality monitoring device using ISFET involving low power CMOS Integrated “Ion Sensitive Field Effect transistor (ISFET) – Operational Amplifier is presented. The study’s main focus is on simulation of power and performance analysis of ISFET device, which is used for water quality monitoring. This approach can improve calibration of device to a fairly wide range without the use of a high speed digital processor. The conventional device has a drawback of slow slew rate but in this novel design, the device has a better slew rate. A new slew rate enhancement (SRE) incorporated into a ISFET, which does not affect the small signal frequency response. The functionality of the circuit is tested using Tanner simulator version 15 for a 70<i>nm</i> CMOS process model also the transfer function realization is done on MATLAB R2011a version, the Very high speed integrated circuit Hardware description language(VHDL) code for the same scheme is simulated on Xilinx ISE 10.1 and various simulation results are obtained. Simulation results are included to demonstrate the results

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A system architecture for water quality monitoring system using wired sensors

Cited by 13 publications

References 1 publication

Coastal Marine Data Crowdsourcing Using the Internet of Floating Things: Improving the Results of a Water Quality Model

Coastal Marine Data Crowdsourcing Using the Internet of Floating Things: Improving the Results of a Water Quality Model

Freshwater pH Level Control and GUI System for Prawn Breeding

On the Performance of ISFET-based Device for Water Quality Monitoring

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