Real-time water quality monitoring system using Internet of Things
01 Jul 2017-pp 78-82
TL;DR: The water quality measuring system that is implemented checks the quality of water in real time through various sensors (one for each parameter: pH, conductivity, temperature) to measure thequality of water.
Abstract: The conventional method of testing water quality is to gather samples of water manually and send to the lab to test and analyze. This method is time consuming, wastage of man power, and not economical. The water quality measuring system that we have implemented checks the quality of water in real time through various sensors (one for each parameter: pH, conductivity, temperature) to measure the quality of water. The ZigBee module in the system transfers data collected by the sensors to the microcontroller wirelessly, and a GSM module transfers wirelessly the data further from the microcontroller to the smart phone/PC. The system also has proximity sensors to alert the officials by sending a message to them via the GSM module in case someone tries to pollute the water body. This system can keep a strict check on the pollution of the water resources and be able to provide an environment for safe drinking water.
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TL;DR: Water Quality Monitoring (WQM) is a cost-effective and efficient system designed to monitor drinking water quality which makes use of Internet of Things (IoT) technology.
138 citations
TL;DR: This study probes into common water-quality monitoring parameters, their safe-limits for drinking water, related smart sensors, critical review, and ratification of contemporary IoT-WQMS via a proposed empirical metric, analysis, and discussion and, finally, design recommendations for an efficient system.
Abstract: Safe water is becoming a scarce resource, due to the combined effects of increased population, pollution, and climate changes. Water quality monitoring is thus paramount, especially for domestic water. Traditionally used laboratory-based testing approaches are manual, costly, time consuming, and lack real-time feedback. Recently developed systems utilizing wireless sensor network (WSN) technology have reported weaknesses in energy management, data security, and communication coverage. Due to the recent advances in Internet-of-Things (IoT) that can be applied in the development of more efficient, secure, and cheaper systems with real-time capabilities, we present here a survey aimed at summarizing the current state of the art regarding IoT based smart water quality monitoring systems (IoT-WQMS) especially dedicated for domestic applications. In brief, this study probes into common water-quality monitoring (WQM) parameters, their safe-limits for drinking water, related smart sensors, critical review, and ratification of contemporary IoT-WQMS via a proposed empirical metric, analysis, and discussion and, finally, design recommendations for an efficient system. No doubt, this study will benefit the developing field of smart homes, offices, and cities.
72 citations
01 Jan 2021
TL;DR: The main contribution of this paper is to present the research progress, highlight recent innovations and identify interesting and challenging areas that can be explored in future studies.
Abstract: The implementation of urbanisation and industrialisation plans lead to the proliferation of contaminants in water resources which is a severe public challenge. These have led to calls for innovative means of water quality monitoring and mitigation, as highlighted in the sustainable development goals. Environmental engineering researchers are now seeking more intricate techniques conducting real-time monitoring and assessing of the quality of surface and groundwater that is assessable to the human population across various locations. Numerous recent technologies now utilise the Internet of Things (IoT) as a platform in water quality monitoring and assessment. Wireless sensor network and IoT environments are currently being used more frequently in contemporary times. In this paper, the recent technologies harnessing the potentials and possibilities in the IoT for water quality monitoring and assessment is comprehensively discussed. The main contribution of this paper is to present the research progress, highlight recent innovations and identify interesting and challenging areas that can be explored in future studies.
45 citations
TL;DR: A survey on recent works dealing with water management and monitoring in agriculture, supported by advanced technologies is presented and some open challenges based on which relevant research directions can be drawn in the future are discussed.
Abstract: Water plays a crucial role in the agricultural field for food production and raising livestock. Given the current trends in world population growth, the urgent food demand that must be answered by agriculture highly depends on our ability to efficiently exploit the available water resources. Among critical issues, there is water management. Recently, innovative technologies have improved water management and monitoring in agriculture. Internet of Things, Wireless Sensor Networks and Cloud Computing, have been used in diverse contexts in agriculture. By focusing on the water management challenge in general, existing approaches are aiming at optimizing water usage, and improving the quality and quantity of agricultural crops, while minimizing the need for direct human intervention. This is achieved by smoothing the water monitoring process, by applying the right automation level, and allowing farmers getting connected anywhere and anytime to their farms. There are plenty of challenges in agriculture involving water: water pollution monitoring, water reuse, monitoring water pipeline distribution network for irrigation, drinking water for livestock, etc. Several studies have been devoted to these questions in the recent decade. Therefore, this paper presents a survey on recent works dealing with water management and monitoring in agriculture, supported by advanced technologies. It also discusses some open challenges based on which relevant research directions can be drawn in the future, regarding the use of modern smart concepts and tools for water management and monitoring in the agriculture domain.
45 citations
Cites background from "Real-time water quality monitoring ..."
...In [71], the authors proposed a hardware prototype for IoT-based water quality monitoring....
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01 Aug 2018
TL;DR: This paper presents real time monitoring of the container contents using sensors, displaying the result in the website and the sensed contents are analyzed to determine the optimized distribution of the containers.
Abstract: Waste accumulation and disposing become main problem facing populated cities, due to the way of managing the waste containers. The recent technologies provide radical solution and effective way to handle these problems. In this work wireless sensor network (WSN) and internet of things (IOT) technologies are used to manage the usage of the waste containers. This paper presents real time monitoring of the container contents using sensors, displaying the result in the website and the sensed contents are analyzed to determine the optimized distribution of the containers.
36 citations
Cites methods from "Real-time water quality monitoring ..."
...The sensed data is transmitted to Arduino UNO board using Zigbee module [1] that control the transmission Using ESP-Wi-Fi module to the web site through the TCP/IP protocol....
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References
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22 Mar 2013
TL;DR: This novel system architecture constituted by distributed sensor nodes and a base station using wireless sensor network technology has advantages such as no carbon emission, low power consumption, more flexible to deploy at remote site and so on.
Abstract: The idea of `Underwater Wireless Sensor Network' (UWSN) is the basic building block of a water quality monitoring using wireless sensor network (WSN) technology powered by solar panel. To monitor water quality over different sites as a real-time application, an excellent system architecture constituted by distributed sensor nodes and a base station is suggested. The nodes and base station are connected using WSN technology like Zigbee. Design and implementation of a prototype model using one node powered by solar cell and WSN technology is the challenging work. Data collected by various sensors at the node side such as pH, turbidity and oxygen level is sent via WSN to the base station. Data collected from the remote site can be displayed in visual format as well as it can be analyzed using different simulation tools at base station. This novel system has advantages such as no carbon emission, low power consumption, more flexible to deploy at remote site and so on.
59 citations
"Real-time water quality monitoring ..." refers methods in this paper
...Kulkarni Amruta, 2013 [8] created solar powered WQM utilizing remote sensor network....
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TL;DR: This paper serves a key purpose: from the perspective of correlative technologies based on time, to review the evolutionary process of the IoT and depict the relations between the correlation techniques which are largely missing in current literature in which the focus has been more on the introduction and comparison of existing technologies and less on issues describing evolutionary process.
Abstract: The title of this paper may suggest such topics as routing, networking, and data mining, but we focus on new research angles regarding the Internet of Things (IoT) as the theme of this paper. These research angles come from other disciplines and are in the process of being adopted by the IoT. Our paper serves a key purpose: from the perspective of correlative technologies based on time, to review the evolutionary process of the IoT and depict the relations between the correlation techniques which are largely missing in current literature in which the focus has been more on the introduction and comparison of existing technologies and less on issues describing evolutionary process of the IoT. We consider that the latter is crucial to understanding the evolution of the IoT. Through generalizations of particular focus in different stages of each technology, we can better understand the current phase of the IoT and therefore predict future challenges. This paper aims to bridge this gap by providing guidance in terms of the evolutionary process of the IoT and gives readers a panoramic view of the IoT field without repeating what is already available in existing literature so as to complement the existing IoT survey papers which have not covered the evolutionary process of the IoT.
39 citations
"Real-time water quality monitoring ..." refers background in this paper
...It is estimated that by 2020, 50 billion ‘things’ will be connected to the Internet [9]....
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01 Dec 2011
TL;DR: The developed system consists of a local Zigbee network, capable of acquiring various water quality parameters, a WiMax network and a host computer for web based monitoring for monitoring water pollution using Zigbee and WiMax technologies.
Abstract: This paper presents the development of a web-based wireless sensor network application for monitoring water pollution using Zigbee and WiMax technologies. The developed system consists of a local Zigbee network, capable of acquiring various water quality parameters, a WiMax network and a host computer for web based monitoring. The system is designed to collect and process information, thus making decisions in realtime via a remote web server. The data is sent from sensor nodes through the Zigbee gateway to the web server via WiMax network, thus allowing users to remotely monitor the water quality from their offices instead of gathering data from the scence. Experimental results demonstrate the ability of the sensor network to monitor water pollution in real time. This system can be easily configured to support other applications, such as e-health and security.
37 citations
"Real-time water quality monitoring ..." refers methods in this paper
...Kamal Alameh, 2011[5] presented web based WSN for monitoring water pollution using ZigBee and...
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21 Apr 2012
TL;DR: Water quality monitoring department can provide real-time guidance to those industry which depends on regional water quality conditions, like industrial, plant and aquaculture, so that the work can be more efficient and less cost.
Abstract: The water quality monitoring system is designed for the need of environmental protection department in a particular area of the water quality requirements. The system is based on the Wireless Sensor Network (WSN). It consists of Wireless Water Quality Monitoring Network and Remote Data Center. The hardware platform use wireless microprocessor CC2430 as the core of the node. The sensor network is builted in accordance with Zigbee wireless transmission agreement. WSN Sample the water quality, and send the data to Internet with the help of the GPRS DTU which has a built-in TCP/IP protocol. Through the Internet, Remote Data Center gets the real-time water quality data, and then analysis, process and record the data. Environmental protection department can provide real-time guidance to those industry which depends on regional water quality conditions, like industrial, plant and aquaculture. The most important is that the work can be more efficient and less cost.
32 citations
"Real-time water quality monitoring ..." refers background in this paper
...Dong He, 2012 [6] developed WQM system 2017 International Conference on Computer, Communications and Electronics (Comptelix)...
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Patent•
22 May 2018
TL;DR: In this paper, the authors proposed a remote water quality monitoring system based on the wireless sensor network, which comprises a water quality center, a sensing monitoring device and a user terminal.
Abstract: The invention relates to a remote water quality monitoring system based on the wireless sensor network, which comprises a water quality monitoring center, a sensing monitoring device and a user terminal, wherein the sensing monitoring device and the user terminal are in communication connection with the water quality monitoring center; the sensing monitoring device comprises a convergence node anda plurality of sensor nodes for monitoring water quality, and the water quality parameters acquired by the sensor nodes are converged and sent to the water quality monitoring center through the aggregation node; and the water quality monitoring center is used for analyzing and processing the water quality parameters, and sending an alarm signal to the user terminal when the water quality is abnormal. According to the system, remote monitoring of water quality is realized.
18 citations