Design of air quality monitoring system based on Internet of Things

2016 ◽  
Author(s):  
Dongyun Wang ◽  
Chenglong Jiang ◽  
Yongping Dan
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Monitoring System ◽  
Quality Monitoring ◽  
Air Quality Monitoring

scholarly journals Air Quality Monitoring System in Thingspeak-Based Applications Using Internet of Things (IOT)

2020 ◽  
Vol 8 ◽  
pp. 34-38
Author(s):  
Samuel Kristiyana ◽  
Aldi Rinaldi
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Monitoring System ◽  
Quality Monitoring ◽  
Graphical Form ◽  
The Internet ◽  
Air Quality Monitoring ◽  
Temperature Detector ◽  
Input Signals ◽  
The Internet Of Things

The monitoring system in this study is a system created to find out data about temperature, humidity, and air quality in a room. This research develops a monitoring system that uses the internet so that the monitoring range becomes wider. By utilizing the Internet of Things (IoT) technology using the thingspeak application integrated with the NodeMCU module ESP8266 features an LM35 temperature sensor that functions as a temperature detector, a DHT11 sensor as a humidity sensor, and an MQ-135 sensor as an air quality detector. These sensors send input signals to the NodeMCU ESP8266 module for processing. The wifi module contained in the NodeMCU ESP8266 module sends the value read by the sensor to the IoT Thingspeak platform which records logging data in graphical form. This system has the potential to be used as an indoor air quality monitoring system to raise awareness about the importance of healthy air quality

scholarly journals A Proposal for Architectural Framework Using Internet of Things with Fog Computing for an Air Quality Monitoring System

2021 ◽  
Vol 2 (2) ◽  
pp. 1-14
Author(s):  
Aarti Rani ◽  
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Fog Computing ◽  
Pollution Monitoring ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Air Pollution Monitoring ◽  
Architectural Framework

Air Monitoring becomes a systematic approach for sensitivity and finding out the circumstances of the atmosphere. The major concern of air quality monitoring is to measure the concentration of pollution and other important parameter related to the contamination and provides information in real-time to make decisions at right time to cure lives and save the environment. This paper proposes an Architectural Framework for the air quality monitoring system based on Internet-of-Things (IoT) and via Fog computing techniques with novel methods to obtain real-time and accurate measurements of conventional air quality monitoring. IoT-based real-time air pollution monitoring system is projected to at any location and stores the measured value of various pollutants over a web server with the Internet. It can facilitate the process and filter data near the end of the IoT nodes in a concurrent manner and improving the Latency issue with the quality of services.

scholarly journals THE MONITORING SYSTEM OF INDOOR AIR QUALITY BASED ON INTERNET OF THINGS

2020 ◽  
Vol 5 (2) ◽  
Author(s):  
Agung Pangestu ◽  
Muhammad Yusro ◽  
Wisnu Djatmiko ◽  
Ariep Jaenul
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Indoor Air Quality ◽  
Monitoring System ◽  
Indoor Air ◽  
Quality Monitoring ◽  
Air Quality Monitoring ◽  
Test Results ◽  
Dust Level ◽  
The Internet Of Things

The indoor air quality monitoring system is needed to find out good air condition. Good air condition can be seen from two (2) factors, namely dust, and temperature. Dust in a room can affect health if it exceeds the threshold of 0.15 mg/m3, and the temperature of 35oC has been determined by SK MENKLH No.02/MENKLH/I/1998. For that, we need a system that can determine the temperature and dust conditions in a room. The main objective of this research is to create an indoor air quality monitoring system based on the Internet of Things (IoT). This research uses engineering methods, which include planning, design, testing, and system implementation. In this system, when the dust level is more than 0.15 mg/m3 the LED indicator 1 and the active sprayer tell and neutralize the dust content in the air and when the intensity of the temperature is more than 35oC the LED indicator 2 and the active sprayer tell and neutralize the temperature intensity at the room. When both values exceed the set threshold, the LED indicators 1, LED 2, buzzer, the sprayer will be active simultaneously to notify and neutralize the air and temperature in the room. The test results show this system can work well with the percentage of errors in the testing of 12% for dust sensors and 1.6% for temperature sensors.

scholarly journals Building an indoor air quality monitoring system based on the architecture of the Internet of Things

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Wen-Tsai Sung ◽  
Sung-Jung Hsiao
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Indoor Air Quality ◽  
Monitoring System ◽  
Indoor Air ◽  
Quality Monitoring ◽  
The Internet ◽  
Air Quality Monitoring ◽  
Environment Variables ◽  
The Internet Of Things

AbstractWith rapidly changing technology, people have more and more requirements for thermal comforts regarding indoor temperature, humidity, and wind speed, and pay more attention to air quality. Indoor air quality has serious effects on the elderly, children, and those with respiratory allergies. Based on the architecture of the Internet of Things smart home, this study constructed an indoor air quality monitoring system to explore how people can live in an environment with good air quality. Among the numerous air quality indices (AQIs), the carbon dioxide index and AQI of the American Society of Heating, Refrigerating and Air-Conditioning Engineers are selected as the indices suitable for this study. The common points of the two indices are combined, and then, based on the data of the Environmental Protection Administration, indoor and outdoor environmental parameters are analyzed, and controllable environment variables are simulated to analyze their effects on air quality. This study designed effective load control using fuzzy control and developed a fuzzy rule base for simulation of the environment variables. Decision logic was used to replace the threshold control of indoor air quality in the past, and a comfortable air quality monitoring system was designed by combining the Arduino Uno development board and ESP8266 Wi-Fi wireless transmission modules.

scholarly journals Water and Air Quality Monitoring System based on the Internet of Things

2021 ◽  
Vol 12 (3) ◽  
pp. 151
Author(s):  
Komang Try Wiguna Adhitya Primantara ◽  
Putu Wira Bhuana ◽  
Kyle Doran
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Ph Sensor ◽  
Sensor Nodes ◽  
Quality Monitoring ◽  
The Internet ◽  
Air Quality Monitoring ◽  
The Internet Of Things

Environmental pollution is a global issue that occurs at this time. It is caused by various human activities that produce pollutants that endanger their lives. By utilizing current technology, it is possible to design a Water and Air Quality Monitoring System based on the Internet of Things to monitor air and water quality quickly and in real-time in the surrounding environment. The users can access this system via the web and Android / IOS mobile applications that display the data obtained by the sensor in the form of real-time graphics of water and air conditions. In addition, this system consists of several sensor nodes in charge of providing field data regarding the parameters used as the basis for assessing water and air quality according to the applicable standards in Indonesia. Sensors for water using a Turbidity Sensor, DS18B20 Sensor, PH Sensor, DHT 11, and TDS (Total Dissolved Solids) Sensor. Sensors for air consist of the DHT11 sensor, the MQ-7sensor, the MQ-135 sensor, and the dust sensor GP2Y1010AU0F.

scholarly journals Building an Indoor Air Quality Monitoring System Based on the Architecture of the Internet of Things

2020 ◽  
Author(s):  
Wen-Tsai Sung ◽  
Sung-Jung Hsiao
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Indoor Air Quality ◽  
Monitoring System ◽  
Indoor Air ◽  
Quality Monitoring ◽  
The Internet ◽  
Air Quality Monitoring ◽  
Environment Variables ◽  
The Internet Of Things

Abstract With rapidly changing technology, people have more and more requirements for thermal comforts regarding indoor temperature, humidity, and wind speed, and pay more attention to air quality. Indoor air quality has serious effects on the elderly, children, and those with respiratory allergies. Based on the architecture of the Internet of Things (IoT) smart home, this study constructed an indoor air quality monitoring system to explore how people can live in an environment with good air quality. Among the numerous air quality indices (AQIs), the carbon dioxide (CO 2 ) index and AQI of the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) are selected as the indices suitable for this study. The common points of the two indices are combined, and then, based on the data of the Environmental Protection Administration, indoor and outdoor environmental parameters are analyzed, and controllable environment variables are simulated to analyze their effects on air quality. This study designed effective load control using fuzzy control and developed a fuzzy rule base for simulation of the environment variables. Decision logic was used to replace the threshold control of indoor air quality (IAQ) in the past, and a comfortable air quality monitoring system was designed by combining the Arduino Uno development board and E ESP8266 Wi-Fi wireless transmission modules.

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