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

Truong, Le Phuong

doi:10.18494/sam.2021.2442

Cited by 6 publications

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The utilization of technology can be a solution to overcome these problems. Research on early warning or alarm systems in aquaculture uses email, SMS, and applications through various communication media [3]- [6]. Many studies have been carried out in developing water quality sensors, heaters, aerators, pumps, reservoirs, water levels [7]- [12].…”

Section: Introductionmentioning

confidence: 99%

Remote Water Quality Monitoring with Early –Warning System for Marine Aquaculture

2021

View full text Add to dashboard Cite

Rapid technological developments have penetrated the application of technology in the field of aquaculture. Climate Changes that are currently uncertain and beyond prediction encourage the application of technology to increase fishery production and modernization. The purpose of this study is to design a water quality monitoring system that can be monitored remotely in real-time using an internet-based smartphone/PC application. It is equipped with an early warning system to monitor the water quality set by the upper and lower thresholds. This device is based on Robotdyn Uno Wifi R3 ESP8266 with IoT technology. The alarm system uses a buzzer and LED indicator to make it understandable to fishermen. We tested the device in two stages. Results showed that the alarm system responds to all changes in water quality that exceeds the set threshold. Water quality data can be monitored with an internet-based smartphone application and updated every 15-16 seconds

show abstract

Section: Introductionmentioning

confidence: 99%

Remote Water Quality Monitoring with Early –Warning System for Marine Aquaculture

2021

View full text Add to dashboard Cite

show abstract

A Water Pollution Monitoring System Based on the Internet of Things

Hou,

Liu,

Zeng

2023

Procedia Computer Science

View full text Add to dashboard Cite

High-performance Smart Home System based on Optimization Algorithm

Zhu

Yang

et al. 2024

EEENG

View full text Add to dashboard Cite

Background: With the recent COVID-19 pandemic, people have become increasingly concerned about their physical health. Therefore, the ability to monitor changes in the surrounding environment in real-time and automatically improve the environment has become a current hot topic to improve the overall health level. Objective: This article describes the design of a high-performance intelligent home system that can simultaneously perform monitoring and automatic adjustment functions. Methods: The ESP8266 was used as the core controller, and the DHT11 and G12-04 sensors were used to collect data, such as temperature, humidity, and ambient light intensity. The sampling frequency was increased and the sampled data were processed to improve data accuracy. The sampled data were wirelessly transmitted to a PC or mobile terminal for real-time display. When the sampled data underwent sudden changes, an alert message was sent via the mobile terminal. Based on the real-time changes in ambient light, an improved lighting brightness adjustment algorithm combining bang-bang and single neuron adaptive PID control was used to adjust the lighting brightness. Results: After testing the system designed in this paper and analyzing the errors compared to standard values, the temperature measurement error ranged from 0% to 0.01107%, and the humidity measurement error ranged from 0% to 0.03797%. The improved algorithm was simulated and tested using MATLAB software and compared with traditional PID algorithms and single-neuron adaptive PID algorithms. The improved algorithm did not overshoot during adjustment, and the system reached a steady state much faster than traditional algorithms. Conclusion: The system showed good performance in real-time, stability, and accuracy, fully demonstrating the effectiveness of the devices and algorithms used in the system. This provides ideas for the design and improvement of future smart homes.

show abstract

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

Cited by 6 publications

References 13 publications

Remote Water Quality Monitoring with Early –Warning System for Marine Aquaculture

Remote Water Quality Monitoring with Early –Warning System for Marine Aquaculture

A Water Pollution Monitoring System Based on the Internet of Things

High-performance Smart Home System based on Optimization Algorithm

Contact Info

Product

Resources

About