SENSOR TECHNOLOGY DEVELOPMENT FOR WATER QUALITY MONITORING

Nowadays the water quality monitoring project that had been doing by government institution is increase due to decreasing of water quality. Many methods and techniques are developed for water quality monitoring. The communication technology development such as GSM/CDMA technology can be used as new network infrastructure for water quality monitoring. People over the world are now using this technology as new communication medium. With SMS as the one of services from GSM technology people can send or receive messages easily. By using the integration of digital sensor for water quality, digital data logger and GSM modem as communication unit, the water quality can be monitored as cheap as sending the SMS by phone cell. The critical value of water quality parameter also can be monitored and sent to the phone cell of decision maker. Kata Kunci : Pemantauan Kualitas Air, Teknologi SMS, Radio Telemetry, Early Warning System (EWS), sistem komunikasi GSM (Global System Mobile Communication), SMS (Short Messages Service).

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Sensor Technology for Water Quality Monitoring: Fiber Optic Biosensor

Water Intelligence Online ◽

10.2166/9781780404165 ◽

2015 ◽

Vol 3 (0) ◽

pp. 9781780404165-9781780404165

Author(s):

A. C. Cannons

Keyword(s):

Water Quality ◽

Fiber Optic ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

Sensor Technology

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Implementation of an innovative sensor technology for effective online water quality monitoring in the distribution network

Water Practice & Technology ◽

10.2166/wpt.2012.099 ◽

2012 ◽

Vol 7 (4) ◽

Cited By ~ 4

Author(s):

B. R. de Graaf ◽

F. Williamson ◽

Marcel Klein Koerkamp ◽

J. W. Verhoef ◽

R. Wuestman ◽

...

Keyword(s):

Water Quality ◽

Drinking Water ◽

Real Time ◽

Low Cost ◽

Distribution Network ◽

Warning System ◽

High Sensitivity ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

Sensor Technology

For safe supply of drinking water, water quality needs to be monitored online in real time. The consequence of inadequate monitoring can result in substantial health risks, and economic and reputational damages. Therefore, Vitens N.V., the largest drinking water company of the Netherlands, set a goal to explore and invest in the development of intelligent water supply. In order to do this Vitens N.V. has set up a demonstration network for online water quality monitoring, the Vitens Innovation Playground (VIP). With the recent innovative developments in the field of online sensoring Vitens kicked off, in 2011, its first major online sensoring program by implementing a sensor grid based on EventLab systems from Optiqua Technologies Pte Ltd in the distribution network. EventLab utilizes bulk refractive index as a generic parameter for continuous real time monitoring of changes in water quality. Key characteristics of this innovative optical sensor technology, high sensitivity generic sensors at low cost, make it ideal for deployment as an early warning system. This paper describes different components of the system, the technological challenges that were overcome, and presents performance data and conclusions from deployment of Optiqua's EventLab systems in the VIP.

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Research on Sewage Monitoring and Water Quality Prediction Based on Wireless Sensors and Support Vector Machines

Wireless Communications and Mobile Computing ◽

10.1155/2020/8852965 ◽

2020 ◽

Vol 2020 ◽

pp. 1-10

Author(s):

Cong Liu ◽

Hongji Li ◽

Qinkun Zhang

Keyword(s):

Water Quality ◽

Water Quality Monitoring ◽

Quality Monitoring ◽

Wireless Sensor ◽

Dynamic Monitoring ◽

Sensor Technology ◽

Support Vector ◽

Quality Prediction ◽

Water Quality Prediction

Water resource protection has an important impact on ecosystem security and human survival. Therefore, water quality testing and early warning of the sewage status are getting more and more attention. In order to solve the problems of information transmission delay and insufficient water quality prediction in current water quality monitoring, this paper proposes a wireless sensor-based dynamic water quality monitoring and prediction technology. Firstly, this paper uses the wireless sensor technology and ZigBee protocol to establish a sewage monitoring model and real-time dynamic monitoring of total nitrogen, total phosphorus, ammonia nitrogen, and other indicators of the water quality of the basin. Secondly, on the basis of wireless monitoring, a support vector algorithm is used to construct a water quality prediction model to make a reasonable prediction of the water quality of the watershed. Finally, the actual test results show that the technology can automatically and real-timely monitor the water quality of the watershed to meet the requirements of water quality monitoring in practical applications.

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