Design of an Internet of Things Module for Continuous Water Quality Monitoring

2018 ◽  
Author(s):  
Ramiz Krasniqi ◽  
Zhilbert Tafa
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Water Quality Monitoring ◽  
Quality Monitoring

scholarly journals Designing a Mobile Application for Pool Water Quality Monitoring Based on the Internet of Things

2021 ◽  
Vol 9 (1) ◽  
pp. 47-55
Author(s):  
Yohanes Anton Nugroho ◽  
Muhammad Fitra Pratama
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Fish Mortality ◽  
The Internet ◽  
Monitoring Equipment ◽  
Pool Water ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Changes in temperature, pH, and turbidity in concrete fish ponds greatly impact to the fish survival. Initial observations showed that among 3.067 fish seeds, 1.633 fish (53%) died and only 1.434 fish (47%) was successfully harvested. The application of water quality monitoring devices from concrete pools designed based on the Internet of Things technology has been tested. The monitoring equipment will not function optimally without an application that functions to receive monitoring data and then take action. Pool water quality monitoring equipment connected to the cloud using a GSM network connection. The recorded data is then displayed on the water quality monitoring application that designed using the Android operating system. Application design is developed using a User-Centered Design approach, where the design process was carried out by considering several variables: ease for use, clarity of information delivery, the fulfillment of needs, and appearance. Based on the results of the design evaluation, weaknesses can be determined, namely, difficulty to find the search menu for click history data, find the refresh button, read the results of searching for historical data, and read data in tables and graphs. Based on this, further improvements can be made to improve the application being made. The monitoring equipment is expected to provide information to pond managers to immediately take action if changing in pH and temperature beyond the limit so that the fish mortality rate can be minimized.

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.

Internet of Things (IoT)‐based aquaculture: An overview of IoT application on water quality monitoring

2021 ◽  
Author(s):  
Dipika Roy Prapti ◽  
Abdul Rashid Mohamed Shariff ◽  
Hasfalina Che Man ◽  
Norulhuda Mohamed Ramli ◽  
Thinagaran Perumal ◽  
...  
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Water Quality Monitoring ◽  
Quality Monitoring

Water Quality Monitoring System in Autonomous Underwater Vehicle Based on Internet of Things (IoT)

2021 ◽  
Author(s):  
Ike Bayusari ◽  
Nyiayu Aisyatul Adawiyyah ◽  
Suci Dwijayanti ◽  
Hera Hikmarika ◽  
Zaenal Husin ◽  
...  
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Monitoring System ◽  
Autonomous Underwater Vehicle ◽  
Water Quality Monitoring ◽  
Underwater Vehicle ◽  
Quality Monitoring

scholarly journals An Efficient Method in Real Time for Water Quality Monitoring Using Internet of Things

2018 ◽  
Vol 7 (2.32) ◽  
pp. 170 ◽  
Author(s):  
K Bhagavan ◽  
R Vamsi Krishna ◽  
A Chandu Lakshmi Gangadhar ◽  
M Arun
Keyword(s):  
Water Quality ◽  
Drinking Water ◽  
Internet Of Things ◽  
Water Quality Monitoring ◽  
Water Utilities ◽  
Quality Monitoring ◽  
Single Individual ◽  
Remote Areas ◽  
The World ◽  
Valuable Product

In this day and age, Internet of Things (IoT) and Remote Sensing (RS) procedures are being utilized as a part of various regions of research for observing, gathering and breaking down information from remote areas. Drinking water is a valuable product for every single individual as drinking water utilities confront a considerable measure of new difficulties progressively activity. These difficulties start in light of restricted water assets, developing populace, maturing foundation and so on in this way there is a requirement for better techniques to screen the water quality. Keeping in mind the end goal to guarantee the protected and providing of drinking water the quality ought to be checked progressively. In this paper we intend to present the arrangement and development of a minimal attempt framework for genuine observing of water quality in an IoT situation. The structure comprises of a few sensors which are utilized for estimating physical and substance parameters of water [1]. The frameworks, for example, temperature, pH, turbidity, conductivity, broke down oxygen of the water can be estimated. Utilizing this framework a man can recognize toxins from a water body from anyplace in the world. 

scholarly journals Air quality and water quality monitoring using XBee and internet of things

2018 ◽  
Vol 7 (2.6) ◽  
pp. 24 ◽  
Author(s):  
Anita Gehlot ◽  
Rajesh Singh ◽  
Rohit Samkaria ◽  
Sushabhan Choudhary ◽  
Aisik De ◽  
...  
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
Point Location ◽  
Security Systems ◽  
Water Parameters ◽  
Manual Operation ◽  
Marine Habitats ◽  
Condi Tions

There are numbers of disadvantage in the current existing systems for water quality monitoring which are generally limited to only a few varieties of parameter provide when there and need to be sending through manual operation. This type of security systems required a device which could send alert signal to the sub – stations and is very time consuming process. The quick warning or alert is not possible in the current existing system because they need some manual operation to be performed which could send the data and this cause a huge casualty because sometimes if the area is not in taken care of then it may cause huge causality to human as well as marine habitats. For such condi-tions a system required which automatically reads the sensor values (parameters) compares them with the threshold of fresh air and water parameters and if this level is above the threshold then automatically send alert with the pin point location to the sub – stations.

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