Fresh water real-time monitoring system based on Wireless Sensor Network and GSM

Nasirudin, Muhammad Azwan; Za'bah, U.N.; Sidek, Othman

doi:10.1109/icos.2011.6079290

Cited by 57 publications

(23 citation statements)

References 6 publications

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“…The sensed data are sent to the base station through GPRS (General Packet Radio Service). A ZigBee based wireless sensor network water quality monitoring and measurement system as presented in [18] facilitate the remote probing and real-time monitoring of the different water quality parameters. It maintains records of current and historical water quality parameter status, which is easily accessible by the users.…”

Section: Related Workmentioning

confidence: 99%

Design of smart sensors for real time drinking water quality monitoring and contamination detection in water distributed mains

Priya¹,

Shenbagalakshmi²,

Revathi³

2017

IJET

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Drinking Water Distribution Systems facilitate to carry portable water from water resources such as reservoirs, river, and water tanks to industrial, commercial and residential consumers through complex buried pipe networks. Determining the consequences of a water contamination event is an important concern in the field of water systems security and in drinking water distribution systems. The proposed work is based on the development of low cost fuzzy based water quality monitoring system using wireless sensor networks which is capable of measuring physiochemical parameters of water quality such as pH, temperature, conductivity, oxidation reduction potential and turbidity. Based on selected parameters a sensing unit is developed along with several microsystems for analog signal conditioning, data aggregation, sensor data analysis and logging, and remote representation of data to the consumers. Finally, algorithms for fusing the real time data and decision making using fuzzy logic at local level are developed to assess the water contamination risk. Based on the water contamination level in the distribution pipeline the drinking water quality is classified as acceptable/reject/desirable. When the contamination is detected, the sensing unit with ZigBee sends signals to close the solenoid valve inside the pipeline to prevent the flow of contaminated water supply and it intimates the consumers about drinking water quality through mobile app. Experimental results indicate that this low cost real time water quality monitoring system acts as an ideal early warning system with best detection accuracy. The derived solution can also be applied to different IoT (Internet of Things) scenario such as smart cities, the city transport system etc.

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Section: Related Workmentioning

confidence: 99%

Design of smart sensors for real time drinking water quality monitoring and contamination detection in water distributed mains

Priya¹,

Shenbagalakshmi²,

Revathi³

2017

IJET

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“…XBee modules have been chosen because they are easy to work with and have proven adequate performance in different kinds of applications [36–38]. …”

Section: System Descriptionmentioning

confidence: 99%

Development of a Wireless Sensor Network for Individual Monitoring of Panels in a Photovoltaic Plant

Prieto

Pernía

Nuño

et al. 2014

Sensors

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With photovoltaic (PV) systems proliferating in the last few years due to the high prices of fossil fuels and pollution issues, among others, it is extremely important to monitor the efficiency of these plants and optimize the energy production process. This will also result in improvements related to the maintenance and security of the installation. In order to do so, the main parameters in the plant must be continuously monitored so that the appropriate actions can be carried out. This monitoring should not only be carried out at a global level, but also at panel-level, so that a better understanding of what is actually happening in the PV plant can be obtained. This paper presents a system based on a wireless sensor network (WSN) that includes all the components required for such monitoring as well as a power supply obtaining the energy required by the sensors from the photovoltaic panels. The system proposed succeeds in identifying all the nodes in the network and provides real-time monitoring while tracking efficiency, features, failures and weaknesses from a single cell up to the whole infrastructure. Thus, the decision-making process is simplified, which contributes to reducing failures, wastes and, consequently, costs.

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“…Surveys on SWQMS were done in literature (Storey et al 2011;Fang et al 2012;Juan et al 2012;Frey and Sullivan 2004;Trescott and Park 2013;Nasirudin et al 2011;Strobl and Robillard 2008;Huang and Chang 2003;Gómez et al 2011;Chen et al 2007), and other similar technologies (Fang et al 2012;Gao et al 2012) that can be used in SWQMS are also investigated; some major projects/programs are summarized in Table 1 (see Appendix). Glasgow et al (2004) reviewed real-time remote monitoring of water quality; Huang and Chang (2003) provided an analysis of research in the perspectives of environmental informatics and systems analysis.…”

Section: Introductionmentioning

confidence: 99%

A survey of smart water quality monitoring system

Dong

Wang

Yan

et al. 2015

Environ Sci Pollut Res

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The smart water quality monitoring, regarded as the future water quality monitoring technology, catalyzes progress in the capabilities of data collection, communication, data analysis, and early warning. In this article, we survey the literature till 2014 on the enabling technologies for the Smart Water Quality Monitoring System. We explore three major subsystems, namely the data collection subsystem, the data transmission subsystem, and the data management subsystem from the view of data acquiring, data transmission, and data analysis. Specifically, for the data collection subsystem, we explore selection of water quality parameters, existing technology of online water quality monitoring, identification of the locations of sampling stations, and determination of the sampling frequencies. For the data transmission system, we explore data transmission network architecture and data communication management. For the data management subsystem, we explore water quality analysis and prediction, water quality evaluation, and water quality data storage. We also propose possible challenges and future directions for each subsystem.

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Fresh water real-time monitoring system based on Wireless Sensor Network and GSM

Cited by 57 publications

References 6 publications

Design of smart sensors for real time drinking water quality monitoring and contamination detection in water distributed mains

Design of smart sensors for real time drinking water quality monitoring and contamination detection in water distributed mains

Development of a Wireless Sensor Network for Individual Monitoring of Panels in a Photovoltaic Plant

A survey of smart water quality monitoring system

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