Design and Implementation of Low Power Wireless Sensor System for Water Quality Monitoring

Author(s):  
Wen-Yaw Chung ◽  
Chien-Lin Chen ◽  
Jyen-bin Chen
2013 ◽  
Vol 281 ◽  
pp. 51-54
Author(s):  
Shou Zhi Huang ◽  
Xue Zeng Zhao

In these years, petroleum and natural gas exploitation cause underground water pollution worldwide. And the leak of the crude oil and injection of waste water in the fracking process are two main reasons of water pollution during the exploitation. So monitoring the water quality in petroleum and natural gas exploitation area is more and more important to assure the drinking water’s safety for people who live nearby. In this paper, a wireless sensor system for water quality monitoring based on wireless sensor networks (WSNs) is designed. This system uses XBee modules as the communication units and chooses proper sensors to monitor the key parameters for water quality including PH, turbidity, conductivity and temperature. And we also use LABVIEW to build an interface to monitor, restore and analyze the data collected.


Author(s):  
Inna Skarga-Bandurova ◽  
◽  
Yana Krytska ◽  
Artem Velykzhanin ◽  
Lina Barbaruk ◽  
...  

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1096 ◽  
Author(s):  
Ramón Martínez ◽  
Nuria Vela ◽  
Abderrazak el Aatik ◽  
Eoin Murray ◽  
Patrick Roche ◽  
...  

The deteriorating water environment demands new approaches and technologies to achieve sustainable and smart management of urban water systems. Wireless sensor networks represent a promising technology for water quality monitoring and management. The use of wireless sensor networks facilitates the improvement of current centralized systems and traditional manual methods, leading to decentralized smart water quality monitoring systems adaptable to the dynamic and heterogeneous water distribution infrastructure of cities. However, there is a need for a low-cost wireless sensor node solution on the market that enables a cost-effective deployment of this new generation of systems. This paper presents the integration to a wireless sensor network and a preliminary validation in a wastewater treatment plant scenario of a low-cost water quality monitoring device in the close-to-market stage. This device consists of a nitrate and nitrite analyzer based on a novel ion chromatography detection method. The analytical device is integrated using an Internet of Things software platform and tested under real conditions. By doing so, a decentralized smart water quality monitoring system that is conceived and developed for water quality monitoring and management is accomplished. In the presented scenario, such a system allows online near-real-time communication with several devices deployed in multiple water treatment plants and provides preventive and data analytics mechanisms to support decision making. The results obtained comparing laboratory and device measured data demonstrate the reliability of the system and the analytical method implemented in the device.


2019 ◽  
Vol 8 (3) ◽  
pp. 6174-6179

This study presents the design and development of a precision fishing technology utilized in water quality monitoring with phytoremediation system using a Zigbee-based Wireless Sensor Network. The system afforded a real-time water quality monitoring using multiple sensors spatially deployed. The sensor node implemented in the Wireless Sensor Network to perform data sensing utilities with the water quality parameters including the water temperature, pH level, water dissolved oxygen and the water level during high-tide and low-tide. During the development, a P89V51RD2 microcontroller, ZigBee module with IEEE 802.15.4 standard, and radio frequency (RF) transceiver were utilized. The developed precision fishing technology utilized the Internet of Things architecture. The IoT device layer includes the temperature sensor, pH sensor, dissolved oxygen sensor, and the water level sensor. Phytoremediation was also used as an alternative solution for soil and water remediation. Further studies using recent and advanced remote sensing technologies and IoT-based solutions can be developed to address issues in the primary sector of the economy.


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