scholarly journals Indoor Air-Quality Data-Monitoring System: Long-Term Monitoring Benefits

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4157 ◽  
Author(s):  
Shengjing Sun ◽  
Xiaochen Zheng ◽  
Javier Villalba-Díez ◽  
Joaquín Ordieres-Meré
Keyword(s):  
Air Quality ◽  
Internet Of Things ◽  
Indoor Air Quality ◽  
Monitoring System ◽  
Indoor Air ◽  
Indoor Air Pollution ◽  
Data Monitoring ◽  
Quality Data ◽  
Term Monitoring

Indoor air pollution has been ranked among the top five environmental risks to public health. Indoor Air Quality (IAQ) is proven to have significant impacts on people’s comfort, health, and performance. Through a systematic literature review in the area of IAQ, two gaps have been identified by this study: short-term monitoring bias and IAQ data-monitoring solution challenges. The study addresses those gaps by proposing an Internet of Things (IoT) and Distributed Ledger Technologies (DLT)-based IAQ data-monitoring system. The developed data-monitoring solution allows for the possibility of low-cost, long-term, real-time, and summarized IAQ information benefiting all stakeholders contributing to define a rich context for Industry 4.0. The solution helps the penetration of Industrial Internet of Things (IIoT)-based monitoring strategies in the specific case of Occupational Safety Health (OSH). The study discussed the corresponding benefits OSH regulation, IAQ managerial, and transparency perspectives based on two case studies conducted in Spain.

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

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.

scholarly journals Real-Time Monitoring of Indoor Air Quality with Internet of Things-Based E-Nose

2019 ◽  
Vol 9 (16) ◽  
pp. 3435 ◽  
Author(s):  
Mehmet Taştan ◽  
Hayrettin Gökozan
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Internet Of Things ◽  
Environmental Health ◽  
Indoor Air Quality ◽  
Real Time ◽  
Indoor Air ◽  
Natural Ventilation ◽  
Skin Diseases ◽  
Quality Data

Today, air pollution is the biggest environmental health problem in the world. Air pollution leads to adverse effects on human health, climate and ecosystems. Air is contaminated by toxic gases released by industry, vehicle emissions and the increased concentration of harmful gases and particulate matter in the atmosphere. Air pollution can cause many serious health problems such as respiratory, cardiovascular and skin diseases in humans. Nowadays, where air pollution has become the largest environmental health risk, the interest in monitoring air quality is increasing. Recently, mobile technologies, especially the Internet of Things, data and machine learning technologies have a positive impact on the way we manage our health. With the production of IoT-based portable air quality measuring devices and their widespread use, people can monitor the air quality in their living areas instantly. In this study, e-nose, a real-time mobile air quality monitoring system with various air parameters such as CO2, CO, PM10, NO2 temperature and humidity, is proposed. The proposed e-nose is produced with an open source, low cost, easy installation and do-it-yourself approach. The air quality data measured by the GP2Y1010AU, MH-Z14, MICS-4514 and DHT22 sensor array can be monitored via the 32-bit ESP32 Wi-Fi controller and the mobile interface developed by the Blynk IoT platform, and the received data are recorded in a cloud server. Following evaluation of results obtained from the indoor measurements, it was shown that a decrease of indoor air quality was influenced by the number of people in the house and natural emissions due to activities such as sleeping, cleaning and cooking. However, it is observed that even daily manual natural ventilation has a significant improving effect on air quality.

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.

Indoor air quality and occupants' ventilation habits in China: Seasonal measurement and long-term monitoring

2018 ◽  
Vol 142 ◽  
pp. 119-129 ◽  
Author(s):  
Junjie Liu ◽  
Xilei Dai ◽  
Xiangdong Li ◽  
Susu Jia ◽  
Jingjing Pei ◽  
...  
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Indoor Air ◽  
Long Term Monitoring ◽  
Term Monitoring

scholarly journals AirQMon: Indoor Air Quality Monitoring System Based on Microcontroller, Android and IoT

2020 ◽  
Vol 6 (2) ◽  
pp. 251
Author(s):  
Jacquline Waworundeng ◽  
Walfarid Hermawan Limbong
Keyword(s):  
Air Quality ◽  
Indoor Air Quality ◽  
Monitoring System ◽  
Indoor Air ◽  
Quality Monitoring ◽  
Quality Data ◽  
Air Quality Monitoring ◽  
Arduino Uno ◽  
Air Quality Data ◽  
Human Awareness

Humans were often unaware of the risk of contaminated indoor air quality. Based on this, the researcher designs an Indoor Air Quality Monitoring System based on Arduino which could help to raise the human awareness of air quality. This research is based on the Prototyping method. The system hardware built with Arduino Uno which connected to MQ135 sensor to monitor the air quality and Sound Buzzer to sound an alarm whenever the sensor sensed the air quality in a risky value. The Ethernet Shield is used to connect the Arduino Uno to the internet, which enables the process to upload the data which has been read by the sensor to an IoT platform called ThingSpeak. The air quality data which uploaded to ThingSpeak, then retrieved by AirQmon, a customized Android application developed by the researcher to monitor the air quality which is installed on the smartphone. The data is presented graphically to the user through AirQmon apps. This system results in a form of a device and application which could potentially be used as a monitoring system and raise human awareness of indoor air quality.

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