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 Internet of Things for Water Quality Monitoring using Estimate Dissolved Oxygen and Free Ammonia

2021 ◽  
Author(s):  
Rheza Shandikri ◽  
Bayu Erfianto
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Dissolved Oxygen ◽  
Fish Farming ◽  
Water Quality Monitoring ◽  
Quality Monitoring ◽  
The Internet ◽  
Measuring Devices ◽  
Small Scales ◽  
The Internet Of Things

In fish farming or aquaponics, one of the problems that are often encountered is water quality. Several parameters that must be monitored are ammonia, temperature, pH, and dissolved oxygen. There are available measuring devices for oxygen and ammonia levels in the market, but the price of the tool is not suitable for small scales. This study uses the Emerson formula and the Benson-Krause formula to determine ammonia and dissolved oxygen value. In this study, the two values were measured using RMSE, MAE, and MAPE against NH3 and Dissolved Oxygen values from Seneye. The output of this research is the level of water quality using Fuzzy logic and implementing the Internet of things to minimize human intervention with objects

scholarly journals Water Quality Monitoring System Using IOT

2020 ◽  
Vol 3 (1) ◽  
pp. 155-164
Author(s):  
Suruchi Pokhrel ◽  
Anisha Pant ◽  
Ritisha Gautam ◽  
Dinesh Baniya Kshatri
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Monitoring System ◽  
Distribution Systems ◽  
Water Quality Monitoring ◽  
End Users ◽  
Quality Monitoring ◽  
The Internet ◽  
Physical Parameters ◽  
The Internet Of Things

Water pollution is one of the growing issues in a developing country like Nepal. In the present scenario, we are usually thoughtlessly trusting the drinking water suppliers with our health. Even though the water is purified as well as checked in the central distribution systems, the supplier, along with the general public is unaware of the water quality that reaches the end-users. By focusing on these above issues, we propose a low-cost monitoring system that can monitor water quality such as pH (potential of Hydrogen) and conductivity on a timely basis using the Internet of Things. The water quality monitoring sensors sense the necessary physical parameters and convert them into equivalent electrical form, i.e. by providing certain voltage as an output corresponding to the respective physical quantity. This value is mapped to the respective water quality measure and is stored in a database through the microcontroller using the Internet of Things. This aids the suppliers to centralize the regular monitoring of water from various locations as well as the supply pure water to the end-users.

scholarly journals Application of the Internet of Things technology (IoT) in Designing an Automatic Water Quality Monitoring System for Aquaculture Ponds

2020 ◽  
Vol 3 (2) ◽  
pp. 624-635
Author(s):  
Nguyen Quang Huy ◽  
Vu Thi Thu Giang ◽  
Le Vu Quan ◽  
Ho Vo The Cuong
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Smart Devices ◽  
Raspberry Pi ◽  
The Internet ◽  
Measuring Device ◽  
Sensor Module ◽  
Aquaculture Ponds ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The current aims to apply the Internet of Things technology (IoT) in designing an automatic system for measuring and monitoring important parameters of aquaculture ponds such as temperature, pH, and dissolved oxygen (DO). The system includes the Arduino Nano main microcontroller (the device that transmits and pushes data to the Raspberry Pi 3 Web server), the DS18B20 temperature sensor module, the pH sensor module V1.1, and the DO Sensor SKU SEN0237. The system is capable of continuously measuring the above parameters of aquaculture ponds. The measurement results are stored and transmitted wirelessly to smart devices such as computers and mobile phones. Farmers can continuously monitor water quality parameters of aquaculture ponds (pH, DO, temperature) through these smart devices. In addition, a warning message will be sent to the farmer's phone when the DO index of the aquaculture pond falls below the prescribed level. The results of the test evaluation also show the high accuracy of the system when compared with the sample measuring device. All  relative errors are satisfied less than the limit value of 5%.

scholarly journals Application of the Internet of Things technology (IoT) in Designing an Automatic Water Quality Monitoring System for Aquaculture Ponds

2020 ◽  
Vol 3 (2) ◽  
pp. 624-635
Author(s):  
Nguyen Quang Huy ◽  
Vu Thi Thu Giang ◽  
Le Vu Quan ◽  
Ho Vo The Cuong
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Smart Devices ◽  
Raspberry Pi ◽  
The Internet ◽  
Measuring Device ◽  
Sensor Module ◽  
Aquaculture Ponds ◽  
Internet Of Things Technology ◽  
The Internet Of Things

The current aims to apply the Internet of Things technology (IoT) in designing an automatic system for measuring and monitoring important parameters of aquaculture ponds such as temperature, pH, and dissolved oxygen (DO). The system includes the Arduino Nano main microcontroller (the device that transmits and pushes data to the Raspberry Pi 3 Web server), the DS18B20 temperature sensor module, the pH sensor module V1.1, and the DO Sensor SKU SEN0237. The system is capable of continuously measuring the above parameters of aquaculture ponds. The measurement results are stored and transmitted wirelessly to smart devices such as computers and mobile phones. Farmers can continuously monitor water quality parameters of aquaculture ponds (pH, DO, temperature) through these smart devices. In addition, a warning message will be sent to the farmer's phone when the DO index of the aquaculture pond falls below the prescribed level. The results of the test evaluation also show the high accuracy of the system when compared with the sample measuring device. All  relative errors are satisfied less than the limit value of 5%.

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