scholarly journals A Study on IOT for Smart Water Quality Monitoring Using MQTT Algorithm

2019 ◽  
pp. 869-872
Author(s):  
G. Vadivel ◽  
A. P. Thangamuthu ◽  
A. Priyadharshini
Keyword(s):  
Water Quality ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Smart Water ◽  
Quality Detection ◽  
Quality Of Water ◽  
System Water

The decrease in quality of water resources has become a common problem. The standard methods of water quality surveillance include water sample manual collection from various locations. These water samples were tested in laboratory using intelligence capabilities. Such approaches take time and are no longer considered inefficient. The old method of water quality detection was time consuming, less accurate and expensive. By focusing on the above problems, IOT can be used to monitor water quality in real time, a low cost water quality monitoring system. Water quality parameters in the proposed system are measured by various sensors such as pH, temperature and dissolved oxygen to transfer data on a platform via a microcontroller system. Therefore, to meet these needs, you can use other technologies such as MQTT (Message Sorting Delimiter Transform), allowing the Sensor and End device rankings to publish and subscribe. And the number of data simultaneously between sensors and servers with the help of the MQTT algorithm.

A multi-parameter integrated chip system for water quality detection

2019 ◽  
Vol 33 (07) ◽  
pp. 1950041 ◽  
Author(s):  
Jiaqi Wang ◽  
Chao Bian ◽  
Yang Li ◽  
Jizhou Sun ◽  
Jianhua Tong ◽  
...  
Keyword(s):  
Water Quality ◽  
Temperature Sensor ◽  
Low Cost ◽  
Simultaneous Detection ◽  
Ruthenium Oxide ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Electrode System ◽  
Quality Monitoring ◽  
Quality Detection

Water pollution has always been an important issue threatening human health. Water quality monitoring is an important step to ensure water quality safety. Water quality parameters such as pH, temperature and conductivity are important indicators in water quality monitoring. In this paper, a multi-parameter water quality detection integrated chip system is studied, and multiple sensors are integrated on the same chip to realize the monitoring of conventional parameters such as pH, temperature and conductivity in drinking water. The chip system was processed by MEMS technology. A ruthenium oxide (RuO2) film is used for pH detection, and the sensor exhibits a super-Nernst response (62.88 mV/pH) in the range of pH 1.92–11.74. The patterned micro Pt film is used as the temperature sensor, and the three-wire orthogonal structure is used for temperature detection. The sensitivity of this temperature sensor is 5.517 [Formula: see text]/[Formula: see text]C in the range of 6 to 80[Formula: see text]C. Conductivity was measured by a four-electrode system, and the electrode constant was 1.667 cm[Formula: see text] measured between 0.994 and 21.167 mS/cm. The test results show that the multi-parameter integrated chip system can realize the simultaneous detection of pH, temperature and conductivity in water, and has the characteristics of miniaturization and low cost, and provides an effective way for simultaneous detection of water quality.

Development of an Autonomous Remote Access Water Quality Monitoring System

2017 ◽  
Vol 8 (2) ◽  
pp. 467
Author(s):  
MD. Reza Ranjbar ◽  
Aisha H. Abdalla
Keyword(s):  
Water Quality ◽  
Monitoring System ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Water Quality Parameter ◽  
Quality Of Water ◽  
Red Led ◽  
Quality Testing

<p>Due to the vast increase in global industrial output, rural to urban drift and the over-utilization of land and sea resources, the quality of water available to people has deteriorated greatly. Before the sensor based approach to water quality monitoring, water quality was tested by collecting the samples of water and experimentally analyzing it in the laboratories. However, in today, with time being a scarce resource, the traditional method of water quality testing is not efficient anymore. To tackle this issue, several electronic (microcontroller and sensor based) water quality monitoring systems were developed in the past decade. However, an in depth study of this current water quality testing technology shows that there are some limitations that should be taken into consideration. Therefore, an automatic, remote, and low cost water quality monitoring system has been developed. This system consists of a core microcontroller, multiple sensors, GSM module, LCD display screen, and an alarm subsystem. The quality of water is read from the physical world through the water quality testing sensors and sent to the microcontroller. The data is then analyzed by the microcontroller and the result is displayed on the LCD screen on the device. At the same time, another copy of the sensor readings is sent remotely to the user’s mobile phone in the form of SMS. If an abnormal water quality parameter is detected by any sensor, the alarm system will turn on the respective red LED for that parameter and the buzzer will give warning sound. At the same time, the abnormality of the water parameter is reported to the user through SMS. The system is aimed to be used for wide applications and by all categories of users. It can facilitate the process of water quality monitoring autonomously and with low cost; to help people improve their quality of drinking water, household water supplies and aquaculture farms, especially in rural areas where residents do not have access to standardized water supply and suffer from different diseases caused by contaminated water.</p>

scholarly journals Water Quality Monitoring and Management System for Residents

2019 ◽  
Vol 9 (2) ◽  
pp. 567-570
Keyword(s):  
Water Quality ◽  
Water Supply ◽  
Management System ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Quality Of Water ◽  
Daily Water ◽  
Tank Level

This paper presents a Water Quality Monitoring and Management System for the Residents. For the incoming water three water quality parameters- pH, Turbidity, and Temperature will be checked. The proposed system will check the tank level and quality of water supplied and according to the results will decide whether water to be allowed to enter into the cistern. The system notifies the user about water quality and daily water consumption via the IFTTT app, SMS or email alert as data will be uploaded on the Adafruit cloud. The objectives to design this system are to ensure the prevention of contamination of the water supply, untimed water supply and real-time automation of water supply according to the tank level, water quality, and supply

scholarly journals A Low-Cost Water Quality Monitoring System for the Ayeyarwady River in Myanmar Using a Participatory Approach

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 1984 ◽  
Author(s):  
Thanda Thatoe Nwe Win ◽  
Thom Bogaard ◽  
Nick van de Giesen
Keyword(s):  
Water Quality ◽  
Mobile Phone ◽  
Low Cost ◽  
School Teacher ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Quality Data ◽  
Water Quality Data ◽  
Lower Accuracy

Newly developed mobile phone applications in combination with citizen science are used in different fields of research, such as public health monitoring, environmental monitoring, precipitation monitoring, noise pollution measurement and mapping, earth observation. In this paper, we present a low-cost water quality mobile phone measurement technique combined with sensor and test strips, and reported the weekly-collected data of three years of the Ayeyarwady River system by volunteers at seven locations and compared these results with the measurements collected by the lab technicians. We assessed the quality of the collected data and their reliability based on several indicators, such as data accuracy, consistency, and completeness. In this study, six local governmental staffs and one middle school teacher collected baseline water quality data with high temporal and spatial resolution. The quality of the data collected by volunteers was comparable to the data of the experienced lab technicians for sensor-based measurement of electrical conductivity and transparency. However, the lower accuracy (higher uncertainty range) of the indicator strips made them less useful in the Ayeyarwady with its relatively small water quality variations. We showed that participatory water quality monitoring in Myanmar can be a serious alternative for a more classical water sampling and lab analysis-based monitoring network, particularly as it results in much higher spatial and temporal resolution of water quality information against the very modest investment and running costs. This approach can help solving the invisible water crisis of unknown water quality (changes) in river and lake systems all over the world.

scholarly journals On the Use of an IoT Integrated System for Water Quality Monitoring and Management in Wastewater Treatment Plants

Water ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 1096 ◽  
Author(s):  
Ramón Martínez ◽  
Nuria Vela ◽  
Abderrazak el Aatik ◽  
Eoin Murray ◽  
Patrick Roche ◽  
...  
Keyword(s):  
Water Quality ◽  
Wireless Sensor Networks ◽  
Wastewater Treatment ◽  
Sensor Networks ◽  
Low Cost ◽  
Treatment Plant ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Wireless Sensor ◽  
Smart Water

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.

scholarly journals Real-time water quality monitoring through Internet of Things and ANOVA-based analysis: a case study on river Krishna

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Prasad M. Pujar ◽  
Harish H. Kenchannavar ◽  
Raviraj M. Kulkarni ◽  
Umakant P. Kulkarni
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Real Time ◽  
River Basin ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Quality Analysis ◽  
Water Quality Analysis

AbstractIn this paper, an attempt has been made to develop a statistical model based on Internet of Things (IoT) for water quality analysis of river Krishna using different water quality parameters such as pH, conductivity, dissolved oxygen, temperature, biochemical oxygen demand, total dissolved solids and conductivity. These parameters are very important to assess the water quality of the river. The water quality data were collected from six stations of river Krishna in the state of Karnataka. River Krishna is the fourth largest river in India with approximately 1400 km of length and flows from its origin toward Bay of Bengal. In our study, we have considered only stretch of river Krishna flowing in state of Karnataka, i.e., length of about 483 km. In recent years, the mineral-rich river basin is subjected to rapid industrialization, thus polluting the river basin. The river water is bound to get polluted from various pollutants such as the urban waste water, agricultural waste and industrial waste, thus making it unusable for anthropogenic activities. The traditional manual technique that is under use is a very slow process. It requires staff to collect the water samples from the site and take them to the laboratory and then perform the analysis on various water parameters which is costly and time-consuming process. The timely information about water quality is thus unavailable to the people in the river basin area. This creates a perfect opportunity for swift real-time water quality check through analysis of water samples collected from the river Krishna. IoT is one of the ways with which real-time monitoring of water quality of river Krishna can be done in quick time. In this paper, we have emphasized on IoT-based water quality monitoring by applying the statistical analysis for the data collected from the river Krishna. One-way analysis of variance (ANOVA) and two-way ANOVA were applied for the data collected, and found that one-way ANOVA was more effective in carrying out water quality analysis. The hypotheses that are drawn using ANOVA were used for water quality analysis. Further, these analyses can be used to train the IoT system so that it can take the decision whenever there is abnormal change in the reading of any of the water quality parameters.

scholarly journals GSM Based Water Quality Monitoring System Using Arduino

2019 ◽  
Vol 6 (4) ◽  
pp. 22-26
Author(s):  
S Gokulanathan ◽  
P Manivasagam ◽  
N Prabu ◽  
T Venkatesh
Keyword(s):  
Water Quality ◽  
Monitoring System ◽  
Rapid Development ◽  
Water Quality Monitoring ◽  
Quality Parameters ◽  
Vital Role ◽  
Quality Monitoring ◽  
Human Society ◽  
Power Efficient

This paper investigates about water quality monitoring system through a wireless sensor network. Due to the rapid development and urbanization, the quality of water is getting degrade over year by year, and it leads to water-borne diseases, and it creates a bad impact. Water plays a vital role in our human society and India 65% of the drinking water comes from underground sources, so it is mandatory to check the quality of the water. In this model used to test the water samples and through the data it analyses the quality of the water. This paper delivers a power efficient, effective solution in the domain of water quality monitoring it also provides an alarm to a remote user, if there is any deviation of water quality parameters.

Smart Water Quality Evaluation System

2019 ◽  
Vol 1 (6) ◽  
pp. 658-661
Author(s):  
Arun prakash S ◽  
Gokul Divya M ◽  
Bharath kumar N.R ◽  
Poomani K
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Evaluation System ◽  
Low Cost ◽  
Sensor Data ◽  
The Core ◽  
Smart Water ◽  
Quality Of Water ◽  
Quality Checks

In today’s world, Internet of Things (IoT) and Remote Sensing (RS) techniques are vastly implemented in various sectors of research for analysis and monitoring of data from remote locations. As a result of the tremendous increase in global industrialisation and its output, rural to urban drift and the extended usage of land and water resources, the quality of water reaching people has been greatly decreased. In addition to this, the extended fertilizer usage, especially chemical fertilizers in farms and also in other chemical sectors such as mining and construction have led to the overall deterioration of the quality of water all around the world. Humans need water for their survival and therefore a high level water quality system which quality checks the water that is supplied to towns and cities is essential it should also be able to work the water in the rivers, ponds etc. All the water sources should be enabled with this facility. Quality water availability plays a paramount role in preventing major disease out breaks and improves the overall quality of life.  In this paper we present a design and development of a low cost water management system for real time monitoring of the water quality using IOT(internet of things). Several sensors are implemented in this project for measuring various physical and chemical parameters of the water. The parameters such as temperature, PH, turbidity, flow of the water can be measured. The measured values from the sensors can be processed by the core controller. The Arduino model can be used as the core micro controller. Finally, the sensor data is received and stored in the cloud and in case of any changes in the quality of the water, the system will intimate the organization via GSM module.

scholarly journals Water Quality Monitoring System Implemented With IoT

2021 ◽  
Vol 9 (7) ◽  
pp. 1020-1024
Keyword(s):  
Water Quality ◽  
Monitoring System ◽  
Cost Effective ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Water Demands ◽  
Quality Of Water ◽  
Quality Water ◽  
The Internet Of Things

Monitoring the quality of water and its proper management is crucial for any industrial and economic application. The global shortage of water demands a sustainable solution to optimize its usage. The Internet of Things provides a robust and cost-effective solution for real-time monitoring of various parameters of water. The paper aims to implementan intelligent water quality monitoring system with the aid of IoT. The proposed system was successfully implemented to determine the turbidity, TDS, flow rate and the level of water for a given sample. The data obtained from the sensors are uploaded to the ThingSpeak dashboard for online monitoring purpose. Besides, an SMS alert is sent to the user whenever the turbidity and TDS values have crossed the threshold limit defined for good quality water.

scholarly journals Real-Time Water Quality Monitoring For Small Aquatic Area Using Unmanned Surface Vehicle

2019 ◽  
Vol 9 (2) ◽  
pp. 3959-3964
Author(s):  
A. T. Demetillo ◽  
E. B. Taboada
Keyword(s):  
Water Quality ◽  
Low Cost ◽  
Water Quality Monitoring ◽  
Relevant Information ◽  
Quality Parameters ◽  
Quality Monitoring ◽  
Aquatic Area ◽  
Monitoring Methods ◽  
Coverage Area ◽  
Unmanned Surface Vehicle

Most developing countries depend on conventional water quality monitoring methods which are usually expensive, complicated, and time-consuming. In recent years, stationary and portable water quality monitoring and a mobile surface vehicle have increased the utilization of on-site water measurements and monitoring. The first has the disadvantage of small coverage area while the second has its cost and operational complexity. This paper addresses these issues by placing materials and equipment used in fixed online water quality monitoring and using a customized and low-cost unmanned surface vehicle. The measurements are taken automatically on the equipment onboard the unmanned surface vehicle (USV), transmitted wirelessly to a PC-based remote station or nearby stations and saved there in a dedicated database. The overall system comprises a commercial water quality sensor, a GSM and Zigbee module for a wireless communication system, a low-cost mobility platform, and the location/positioning system. During testing, all captured data like water quality parameters, location, and other essential parameters were collated, processed and stored in a database system. Relevant information from the USV can be viewed on a smartphone or a computer. The USV was also tested to conduct unmanned water quality measurements using the pre-inputted navigation route which shows a good result in navigation and data transmission. Water bodies with calm water such as lakes and rivers can use the USV, in a stand-alone mode or as a part of a networked sensor system.

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