Water Quality Monitoring System with Parameter of pH, Temperature, Turbidity, and Salinity Based on Internet of Things (original) (raw)

Water Quality Monitoring and Control System for Fish Farmers Based on Internet of Things

Ingénierie des systèmes d'information/Ingénierie des systèmes d'Information, 2024

Numerous individuals in Riau Province are engaged in the fish cultivation due to the province's ample water supply and the substantial market demand, which generates relatively high selling prices. The significance of water quality issues in fish aquaculture stems from the fact that fish inhabit water. Water quality is determined by a number of parameters, including acidity, temperature, turbidity, and the quantity of dissolved substances. Therefore, this study aimed to develop a device capable of monitoring water quality. The water parameters observed through the utilization of sensors and the Internet of Things were temperature, acidity, dissolved solids concentration, and turbidity. Utilizing the Rapid Application Development (RAD) Method, the research was completed through the following phases: Analysis, design, development, evaluation, implementation, and simulation. A device comprised of electronic components, including a microcontroller and sensors, was the result of this research. Monitoring parameter data was collected in real time via sensors and subsequently stored on a cloud server. The tools developed as a consequence of this research enable fish producers to acquire parameter data in real time. These tools serve the purpose of generating responses to normalize water quality and to facilitate action in response to changes in water quality.

Cost-effective Evaluation, Monitoring, and Warning System for Water Quality based on Internet of Things

Sensors and Materials, 2021

This paper proposes an evaluating, monitoring, and warning system for water quality for taking care of fish that includes an Arduino Mega2560 board and a sensor system with wireless communication technologies based on IoT technology. Not only the temperature but also the pH and dissolved oxygen (DO) content of water are acquired through the Arduino Mega2560 board. These measurement data are transferred to the server through ESP8266 and SIM800A modules integrated on the board. The stored temperature, pH, and DO values are displayed on a ThingSpeak server. Furthermore, the fault detection of water quality under real working conditions is handled and displayed on the platform or a cellphone-based web service and short messaging service (SMS). The accuracy and reliability of the system for the functions of monitoring, evaluation, and fault detection were demonstrated. Compared with established systems, the proposed system has the advantages of (1) reduced cable use for the monitoring system, (2) a warning system via a cellphone-based SMS cellphone or web service, (3) costeffectiveness, and (4) portability.

SMART WATER MANAGEMENT AND WATER QUALITY MONITORING BY USING INTERNET OF THINGS

Transstellar Journals, 2022

One of the main concerns for green globalization is water contamination. Environmental monitoring is a fascinating system that plays a significant role in human life in the twenty-first century. Water quality must be monitored in real time to maintain the safe supply of drinking water and other water-related activities. This document shows a little effort stage progression and plan. The Arduino Uno microcontroller is used in this project, along with many sensors linked to the platform. The gadget, which consists of a variety of sensors, is used to measure the physical and chemical properties of water in diverse places. Factors like PH, Temperature and turbidity for water quality can be estimated. It is possible to quantify quality. The output of the sensors is kept in a data logger and transferred to the cloud over the Internet. As an acidic base, we can tell if the water is drinkable or not. In this research work, three sensors are used. These sensors are pH, Temperature sensor and ORP sensor.

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

Vietnam Journal of Agricultural Sciences, 2020

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 accur...

Implementation of Internet of Things for Water Quality Monitoring

International Journal of Trend in Scientific Research and Development, 2019

To make sure the safe supply of the drinking water the quality of the water needs to be monitored. As the monitoring of the water parameter is a complex process as it has been going through several laboratory testing processes and though it is time-consuming. The system for monitoring the water quality in the Internet of Things (IoT) consists of a number of sensors which are used for measuring the parameters of the water; these parameters are temperature, pH, turbidity, and CO2 of the water. The measured values of the parameter from the sensors can be processed by Arduino pro mini microcontroller which can be used as a core controller. System focus on continuous monitoring of water in the IOT platform. Internet of things is the network of physical objects embedded with electronics, sensors, software, and network connectivity. Monitoring water parameter can be done from anywhere as a central office; using thinger.io which is an open source IoT platform as free server; data can be continuously pushed on the cloud so we can see data in real-time operation. Sensors are connected with the Arduino pro mini and this can send the parameter value to the Wi-Fi module ESP8266 which require internet for sending this parameter values to thinger.io from the thinger.io anyone can see the real-time values of the water parameter and these values are also shown on the LCD16×2 screen which is connected to the microcontroller.

The Real Time Water Quality Monitoring System Based On IoT Platform

Good water quality is essential for the health of our aquatic ecosystems. Continuous water quality monitoring is an important tool for management authorities, providing real-time data for environmental protection and tracking pollution sources; however, continuous water quality monitoring at high temporal and spatial resolution remains prohibitively expensive. In this system we present a design and development of a low cost system for real time monitoring of the water quality using IOT(internet of things).The system consist of four sensors is used to measuring physical and chemical parameters of the water. The parameters such as temperature, turbidity, PH and water flow can be measured. The measured values from the sensors can be processed by the core controller. The Raspberry Pi can be used as a core controller. Finally, the sensor data can be viewed on internet using cloud computing.

International Journal on Recent and Innovation Trends in Computing and Communication A Review : The Real Time Water Quality Monitoring System based on IoT Platform

Good water quality is essential for the health of our aquatic ecosystems. Continuous water quality monitoring is an important tool for catchment management authorities, providing real-time data for environmental protection and tracking pollution sources; however, continuous water quality monitoring at high temporal and spatial resolution remains prohibitively expensive. In this system we present a design and development of a low cost system for real time monitoring of the water quality using IOT(internet of things).The system consist of several sensors is used to measuring physical and chemical parameters of the water. The parameters such as temperature, turbidity, PH, Flow of the water can be measured. The measured values from the sensors can be processed by the core controller. The Raspberry pi can be used as a core controller. Finally, the sensor data can be viewed on internet using cloud computing.

AQUAMAG: Smart Water Quality Monitoring through Internet of Things

International journal of science, technology, engineering and mathematics, 2023

One of the most fundamental needs of humanity is water. It is essential to provide clean water for human consumption. This research aims to design and build a functional water monitoring system to guarantee a safe water supply. Using the AQUAMAG device and web-based platform, the water quality is assessed in real time, and the current water status is monitored. There is a webpage for viewing all the recorded data from the database for analytical monitoring purposes. At the same time, the device sends a message notification to the user for the water condition update. The evaluation-based ISO 25010 standards showed end-users remarkably accepted the device attributed to the accurate turbidity and pH sensors. This water monitoring mechanism can help the user visualize if the water source is polluted or contaminated through a water quality test. With its efficient application and practicality, it has excellent potential for the community. Hence, a portable and user-friendly device that can be used within households and establishments as an alternative way of checking water quality before using it can be developed. Relatively, the study can raise awareness on water quality in the community through the developed device, which can also avoid illnesses caused by contaminated water.

Water Quality Monitoring System in Vaname Shrimp at Tirtayasa District Based on Internet of Things

2019

The purpose of this study can help the owner to know water quality conditions such as water temperature conditions, water salinity, water pH and water level, the system can help maintain the level of life and growth of vaname shrimp with the existence of a minimum system used to compare water quality in ponds with quality thresholds good water for vaname shrimp farming so the system will give an early warning to the owner if the quality of water in the shrimp shrimp ponds is poor. The method used is the prototype with the communication process, quick plan, quick design modeling, construction of the prototype and development of delivery and feedback. This system uses SEN0161 sensor to measure pH level, conductivity sensor to measure salt content, DS18B20 sensor to measure temperature, and HCSR04 ultrasonic sensor to measure water level which is controlled by Arduino Uno microcontroller which is connected to its main component is Raspberry Pi 3. Data sent from Arduino Uno to Raspberry...

An internet of things framework for real-time aquatic environment monitoring using an Arduino and sensors

International Journal of Electrical and Computer Engineering (IJECE), 2022

Aquaculture is the farming of aquatic organisms in natural, controlled marine and freshwater environments. The real-time monitoring of aquatic environmental parameters is very important in fish farming. Internet of things (IoT) can play a vital role in the real-time monitoring. This paper presents an IoT framework for the efficient monitoring and effective control of different aquatic environmental parameters related to the water. The proposed system is implemented as an embedded system using sensors and an Arduino. Different sensors including pH, temperature, and turbidity, ultrasonic are placed in cultivating pond water and each of them is connected to a common microcontroller board built on an Arduino Uno. The sensors read the data from the water and store it as a comma-separated values (CSV) file in an IoT cloud named ThingSpeak through the Arduino microcontroller. To validate the experiment, we collected data from 5 ponds of various sizes and environments. After experimental evaluation, it was observed among 5 ponds, only three ponds were perfect for fish farming, where these 3 ponds only satisfied the standard reference values of pH (6.5-8.5), temperature (16-24 °C), turbidity (below 10 ntu), conductivity (970-1825 μS/cm), and depth (1-4) meter. At the end of this paper, a complete hardware implementation of this proposed IoT framework for a real-time aquatic environment monitoring system is presented.