Water Parameters Monitoring on a Cyberwater Platform

Văcariu, Lucia; Cret, Octavian; Hângan, Anca; Bacotiu, Ciprian

doi:10.1109/cscs.2015.24

Cited by 9 publications

(5 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…L. Vacariu et al designed a real-time water parameter monitoring system using a LabVIEW hierarchy [160]. Measuring nodes sampled the quantities from the sensors and conditioned them before transmitting them to the gateway using the 802.15.4 radio protocol.…”

Section: Wireless Sensor Network For Water Quality Sensingmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

View full text Add to dashboard Cite

Water constitutes an indispensable resource crucial for the sustenance of humanity, as it plays an integral role in various sectors such as agriculture, industrial processes, and domestic consumption. Even though water covers 71% of the global land surface, governments have been grappling with the challenge of ensuring the provision of safe water for domestic use. A contributing factor to this situation is the persistent contamination of available water sources rendering them unfit for human consumption. A common contaminant, pesticides are not frequently tested for despite their serious effects on biodiversity. Pesticide determination in water quality assessment is a challenging task because the procedures involved in the extraction and detection are complex. This reduces their popularity in many monitoring campaigns despite their harmful effects. If the existing methods of pesticide analysis are adapted by leveraging new technologies, then information concerning their presence in water ecosystems can be exposed. Furthermore, beyond the advantages conferred by the integration of wireless sensor networks (WSNs), the Internet of Things (IoT), Machine Learning (ML), and big data analytics, a notable outcome is the attainment of a heightened degree of granularity in the information of water ecosystems. This paper discusses methods of pesticide detection in water, emphasizing the possible use of electrochemical sensors, biosensors, and paper-based sensors in wireless sensing. It also explores the application of WSNs in water, the IoT, computing models, ML, and big data analytics, and their potential for integration as technologies useful for pesticide monitoring in water.

show abstract

Section: Wireless Sensor Network For Water Quality Sensingmentioning

confidence: 99%

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Mutunga,

Sinanovic,

Harrison

2024

Sensors

View full text Add to dashboard Cite

show abstract

“…These systems have no automation function for water gate opening and closure. Through different methods and focuses including GPRS communication [9][10][11], with their own developed system [12][13][14], and water quality monitoring system [15][16][17], these solutions were only applied for water monitoring. However, these systems still need human labor to control the water gate and take the necessary action at the locations.…”

Section: Previous Solutionsmentioning

confidence: 99%

Utilizing the Internet of Things (IoT) to Develop a Remotely Monitored Autonomous Floodgate for Water Management and Control

Hajjaj

Sultan

Moktar

et al. 2020

Water

View full text Add to dashboard Cite

In recent years, floods have increased in frequency and intensity, causing tremendous hardship. In badly affected regions, mostly the rural areas, Weir-type floodgates are the only measure against floods. However, these manually operated gates are numerous and scattered over vast areas. This makes flood mitigation efforts very challenging, which causes severe devastation. Current solutions to automate the floodgates are expensive, black-boxed, and focused on individual gates. In this paper, we present a Centralized Flood Monitoring and Coordination System developed through the Internet of Things (IoT) and other open-source technologies. For this work, we developed a working prototype of an autonomous floodgate that opens/closes according to the level of water. We also developed the required program to allow the gate controller to publish its data through the IoT gateway to the cloud. The data was then captured and viewed on a number of IoT clients, both for individuals and groups of floodgates, in real time. The developed system proved successful as the autonomous gates were monitored remotely through the established IoT framework, with room for future development and improvement. This paper serves as a proof of concept and a preparation for real, on-site implementation of the IoT-floodgates.

show abstract

“…From simulation and testing, the system was able to capture and plot pH, temperature and turbidity measurements on the GUI. Vacariu, Cret, Hangan, and Bacotiu (2015) developed a system for monitoring water quality parameters of some river waters in Romania based on WSN technology. Nodes used the IEEE 802.15.4 radio protocol to communicate sensor data to a gateway, where it was processed and transmitted to a remote storage server via GSM.…”

Section: Coverage and Connectivitymentioning

confidence: 99%

“…The systems proposed by Adamo et al (2015), Karthikeyan et al (2014), Amruta andSatish (2013), O'Flynn et al (2007), Rasin and Abdullah (2009), Sridharan (2014), Vacariu et al (2015), Wang et al (2009), Zennaro et al (2009) employ either IEEE 802.15.4 or ZigBee for communication between the nodes and base-station. However, these technologies have a range that is limited to only a few tens of meters which limits spatial resolution of the system.…”

Section: Coverage and Connectivitymentioning

confidence: 99%

“…These technologies normally operate in the 2.4 GHz ISM license free band which is often crowded and vulnerable to interference and security attacks. Authors of (Adamo et al, 2015;Huang et al, 2010;Ji et al, 2011;Jiang et al, 2009;Nasirudin, Za'bah, & Sidek, 2011;Vacariu et al, 2015;Zhang & Wang, 2011;Zhu et al, 2010) employed the mobile network as part of the WSN architecture to allow remote access to the system. However, this approach will incur additional communication costs/charges as the network expands since it relies on operator based infrastructure.…”

Section: Coverage and Connectivitymentioning

confidence: 99%

See 1 more Smart Citation

Wireless sensor networks: A survey on monitoring water quality

Pule

Yahya

Chuma

2017

Journal of Applied Research and Technology

213

105

View full text Add to dashboard Cite

Diseases related to poor water and sanitation conditions have over 200 million cases reported annually, causing 5-10 million deaths worldwide. Water quality monitoring has thus become essential to the supply of clean and safe water. Conventional monitoring processes involve manual collection of samples from various points in the distribution network, followed by laboratory testing and analysis. This process has proved to be ineffective since it is laborious, time consuming and lacks real-time results to promote proactive response to water contamination. Wireless sensor networks (WSN) have since been considered a promising alternative to complement conventional monitoring processes. These networks are relatively affordable and allow measurements to be taken remotely, in real-time and with minimal human intervention. This work surveys the application of WSN in environmental monitoring, with particular emphasis on water quality. Various WSN based water quality monitoring methods suggested by other authors are studied and analyzed, taking into account their coverage, energy and security concerns. The work also compares and evaluates sensor node architectures proposed the various authors in terms of monitored parameters, microcontroller/microprocessor units (MCU) and wireless communication standards adopted, localization, data security implementation, power supply architectures, autonomy and potential application scenarios.

show abstract

Water Parameters Monitoring on a Cyberwater Platform

Cited by 9 publications

References 6 publications

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Integrating Wireless Remote Sensing and Sensors for Monitoring Pesticide Pollution in Surface and Groundwater

Utilizing the Internet of Things (IoT) to Develop a Remotely Monitored Autonomous Floodgate for Water Management and Control

Wireless sensor networks: A survey on monitoring water quality

Contact Info

Product

Resources

About