Real Time Indoor Air Quality Monitoring System Based on IoT using MQTT and Wireless Sensor Network

Hapsari, Anindya Ananda; Hajamydeen, Asif Iqbal; Vresdian, Devan Junesco; Manfaluthy, Mauludi; Prameswono, Legenda; Yusuf, Eddy

doi:10.1109/icetas48360.2019.9117518

Cited by 27 publications

(13 citation statements)

References 11 publications

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“…In addition, ESP32 is a capable SoC (System on Chip) microcontroller with integrated Wi-Fi and dual-mode Bluetooth. It is an improved chip that principally consists of two cores clocked at various speeds up to 240 MHz-a fine successor to the 8266 which was widely utilized in the studies [20,35]. Apart from these improvements to develop the new device with the required number of sensors, ESP32 also increases the number of general purpose Input/Output (GPIO) pins from 17 to 36 and includes 4 MB of flash memory [46].…”

Section: Node Microcontroller Unit (Esp32)mentioning

confidence: 99%

“…Recent research has shown clear evidence that airborne transmission plays a significant role in many nosocomial infections [19]. Air is considered the "most important carrier" of hospital contaminations, indoor environments are characterised by many as sources of pollutants, and health concerns associated with poor IAQ have become increasingly relevant in recent years especially for public health infrastructure [20,21]. Thus, IAQ contributed to public health by conveying modern expertise to patients, hospital staff and doctors [22]; however, air quality in indoor environment is a serious concern, particularly in hospitals given the numerous residents [1].…”

Section: Introductionmentioning

confidence: 99%

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Development of a real-time monitoring and detection indoor air quality system for intensive care unit and emergency department

2022

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To develop an Indoor Air Quality (IAQ) monitoring and detecting system based on a new Internet of Thing (IoT) sensory technology device that incorporated nine recommended indoor pollutants by the academic literature and reliable organizations, such as World Health Organization (WHO), Environmental Protection Agency (EPA), and International Organization for Standardization (ISO). The pollutants include Carbon Monoxide (CO), Carbon Dioxide (CO2), Nitrogen Dioxide (NO2), Ozone (O3), Formaldehyde (HCHO), Volatile Organic Compounds (VOC), Particulate Matter 2.5 (PM2.5) as well as air humidity and temperature that are used to assess the variety of indoor pollutants and provide a new IAQ pollutants dataset. Besides, the newly developed system provides real-time air quality monitoring, reports the pollutants’ data to a cloud platform (i.e., ThingSpeak), and can trigger early warnings as a service when abnormalities occurred in the air quality index. The system was tested to ensure its conformance to the recommended pollutants by collaborating with surgeons and specializing in IAQ in a hospital surgical intensive care unit (SICU), emergency department (ED), and in the women’s ward, which accommodate patients who are either newly born mothers (in case they need that) or who have had an operation, as well as pregnant patients who need to stay in the hospital to be under the supervision of medical care. Nine pollutants were identified and collected the pollutants dataset and their thresholds that affect the air quality within the hospital facilities and services (SICU, ED) to be used for assessing the effectiveness of the amount, concentration, and diversity of the pollutants. In the SICU, the concentrations of some pollutants were high in the beginning due to the residues of the previous surgery and because of the frequent use of sterilizers to clean and prepare the surgery room. Then, the concentrations of pollutants were moderate, but minutes after the start of the surgical, an increase in CO2 and formaldehyde was observed, which exceeds the threshold limit because of the use of anesthetic gas and sterilization. In the women’s ward, was all concentrations generally moderate except for particles matter PM2.5, and the same context with the 3rd installed location in the pharmacy of ED, most concentrations were moderate, except formaldehyde which exceeded the threshold. “CO” was the highest positive correlated and strongly correlated to “NO2” and that was expected because CO influences the oxidation of NO to NO2. On the contrary, the “CO” had the highest negative correlation with “VOC”, and the “NO2” had the highest negative correlation with “VOC”, chemistry is part of the responsibility for the weak correlation observed between the pollutants.

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Section: Node Microcontroller Unit (Esp32)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a real-time monitoring and detection indoor air quality system for intensive care unit and emergency department

2022

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“…The poor indoor air quality is associated with millions of deaths due to exposition to various indoor air pollutants, [10] where in that circumstances various chronic diseases can occur such as acute respiratory infections, chronic obstructive pulmonary disease, lung cancer, etc. The most critical parameter based on the current regulations are particulate matter (PM10, PM2.5) and carbon monoxide CO, [11]. The carbon dioxide level (CO2) is also an important parameter that is affecting air quality in the office environments and that has strong impact on the human metabolism, [12].…”

Section: Introductionmentioning

confidence: 99%

“…The poor air quality is also causing an economic cost that is estimated to about 330 billion €/year in EU region, [11]. Therefore, it is critical to secure proper policies to ensure adequate health and environment in the office buildings and to reduce economic damage.…”

Section: Introductionmentioning

confidence: 99%

Importance of air quality indicators for office environments: An overview

Čulić

Nižetić

Šolić

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Air quality in office buildings has got an impact on working productivity as well as on the working satisfaction in office environments. Moreover, final effect can be linked with thermal comfort conditions since they have significant impact on energy consumption in offices. In this study various factors have been investigated and analysed in order to understand their impact on air quality and occupants’ satisfaction with the environmental conditions. The second perspective of the overview was focused on analysis of the air quality interconnection with thermal comfort conditions, since they are linked. The current issues as well as challenges in the field were also discussed within this investigation. The results of conducted research would be directly useful for more advanced consideration of personal air quality and thermal comfort conditions as vital aspect of smart and high-performance buildings.

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“…This work introduces the IRREI (Indoor Radon Risk Exposure Indicator), a tool designed to increase the Radon risk communication effectiveness, that consists of an objective risk scale, that can be used in IoT-based architectures to enhance web applications with rich visual analytics [46]. Moreover, the pervasiveness of IoT technologies for IAQ monitoring [47][48][49] can also be useful for Radon Risk Management (RRM), since active mitigation strategies can also be integrated within the IoT ecosystem in domains such as smart buildings [40]. However, data visualization and intelligibility demand the definition of relevant metrics and key risk indicators, which may be computed upon continuous real-time data.…”

Section: Introductionmentioning

confidence: 99%

Designing an Indoor Radon Risk Exposure Indicator (IRREI): An Evaluation Tool for Risk Management and Communication in the IoT Age

Lopes

Nunes

Curado

2021

IJERPH

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The explosive data growth in the current information age requires consistent new methodologies harmonized with the new IoT era for data analysis in a space–time context. Moreover, intuitive data visualization is a central feature in exploring, interpreting, and extracting specific insights for subsequent numerical data representation. This integrated process is normally based on the definition of relevant metrics and specific performance indicators, both computed upon continuous real-time data, considering the specificities of a particular application case for data validation. This article presents an IoT-oriented evaluation tool for Radon Risk Management (RRM), based on the design of a simple and intuitive Indoor Radon Risk Exposure Indicator (IRREI), specifically tailored to be used as a decision-making aid tool for building owners, building designers, and buildings managers, or simply as an alert flag for the problem awareness of ordinary citizens. The proposed methodology was designed for graphic representation aligned with the requirements of the current IoT age, i.e., the methodology is robust enough for continuous data collection with specific Spatio-temporal attributes and, therefore, a set of adequate Radon risk-related metrics can be extracted and proposed. Metrics are summarized considering the application case, taken as a case study for data validation, by including relevant variables to frame the study, such as the regulatory International Commission on Radiological Protection (ICRP) dosimetric limits, building occupancy (spatial dimension), and occupants’ exposure periods (temporal dimension). This work has the following main contributions: (1) providing a historical perspective regarding RRM indicator evolution along time; (2) outlining both the formulation and the validation of the proposed IRREI indicator; (3) implementing an IoT-oriented methodology for an RRM indicator; and (4) a discussion on Radon risk public perception, undertaken based on the results obtained after assessment of the IRREI indicator by applying a screening questionnaire with a total of 873 valid answers.

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Real Time Indoor Air Quality Monitoring System Based on IoT using MQTT and Wireless Sensor Network

Cited by 27 publications

References 11 publications

Development of a real-time monitoring and detection indoor air quality system for intensive care unit and emergency department

Development of a real-time monitoring and detection indoor air quality system for intensive care unit and emergency department

Importance of air quality indicators for office environments: An overview

Designing an Indoor Radon Risk Exposure Indicator (IRREI): An Evaluation Tool for Risk Management and Communication in the IoT Age

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