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

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.

[1]  Luca Mantecchini,et al.  Indoor Air Quality Real-Time Monitoring in Airport Terminal Areas: An Opportunity for Sustainable Management of Micro-Climatic Parameters , 2018, Sensors.

[2]  Yinping Zhang,et al.  Health Risk Assessment of Inhalation Exposure to Formaldehyde and Benzene in Newly Remodeled Buildings, Beijing , 2013, PloS one.

[3]  Pearl Brereton,et al.  Performing systematic literature reviews in software engineering , 2006, ICSE.

[4]  C. A. Ramos,et al.  Exposure to indoor air pollutants during physical activity in fitness centers , 2014 .

[5]  Evangelos I. Tolis,et al.  Indoor air quality investigation of the school environment and estimated health risks: Two-season measurements in primary schools in Kozani, Greece , 2016 .

[6]  H. Su,et al.  INDOOR AIR QUALITY ASSESSMENT IN AN OFFICE BUILDING IN AN INDUSTRIAL PARK IN TAIWAN , 2004 .

[7]  A. Rosenfeld,et al.  Estimates of Improved Productivity and Health from Better Indoor Environments , 1997 .

[8]  Branislav Marić,et al.  Indoor air quality investigation from screen printing industry , 2013 .

[9]  Navin Ramachandran,et al.  Authenticating Health Activity Data Using Distributed Ledger Technologies , 2018, Computational and structural biotechnology journal.

[10]  Barbara Kozielska,et al.  Assessment of the BTEX concentrations and health risk in urban nursery schools in Gliwice, Poland , 2016 .

[11]  T. Hussein,et al.  Occupational health risk assessment and exposure to floor dust PAHs inside an educational building. , 2017, The Science of the total environment.

[12]  Joaquín B. Ordieres Meré,et al.  [WiP] IoT Blockchain Technologies for Smart Sensors Based on Raspberry Pi , 2018, 2018 IEEE 11th Conference on Service-Oriented Computing and Applications (SOCA).

[13]  Abdullah Kadri,et al.  A Modular IoT Platform for Real-Time Indoor Air Quality Monitoring , 2018, Sensors.

[14]  M. Khoder,et al.  Organic dust and gaseous contaminants at wood working shops. , 2000, Journal of environmental monitoring : JEM.

[15]  Yanhua Zhang,et al.  Virtualization for Distributed Ledger Technology (vDLT) , 2018, IEEE Access.

[16]  Zaheera Zainal Abidin,et al.  Wireless Internet of Things-Based Air Quality Device for Smart Pollution Monitoring , 2018 .

[17]  T. Sharpe,et al.  Field evaluation of a low-cost indoor air quality monitor to quantify exposure to pollutants in residential environments , 2018 .

[18]  Ayato Kawashima,et al.  Measurement of total volatile organic compound (TVOC) in indoor air using passive solvent extraction method , 2018, Air Quality, Atmosphere & Health.

[19]  Yosoon Choi,et al.  Toward Open-Source Hardware and Software for the Mining Industry: a Case Study of Low-Cost Environmental Monitoring System for Non-Metallic Underground Mines , 2019, Mining, Metallurgy & Exploration.

[20]  M. Sulewska,et al.  Analysis of the results of empirical research and surveys of perceived indoor temperature depending on gender and seasons , 2018, Environmental Science and Pollution Research.

[21]  M. Green.  Air pollution and health , 1995 .

[22]  G. Loupa.  Case Study , 2013, Journal of occupational and environmental hygiene.

[23]  K Reijula,et al.  [Indoor air quality]. , 1996, Duodecim; laaketieteellinen aikakauskirja.

[24]  Satoshi Nakamoto.  Bitcoin : A Peer-to-Peer Electronic Cash System , 2009 .

[25]  M. R. Rodrigues,et al.  Occupational exposure to formaldehyde in an institute of morphology in Brazil: a comparison of area and personal sampling , 2012, Environmental Science and Pollution Research.

[26]  Li Li,et al.  VOC characteristics and inhalation health risks in newly renovated residences in Shanghai, China. , 2017, The Science of the total environment.

[27]  Yuexia Sun,et al.  Indoor air quality and occupants' ventilation habits in China: Seasonal measurement and long-term monitoring , 2018, Building and Environment.

[28]  Bitcoin Proof of Stake: A Peer-to-Peer Electronic Cash System , 2020 .

[29]  S. Mandarić,et al.  Statistical approach for characterization of photocopying indoor pollution , 2018, Air Quality, Atmosphere & Health.

[30]  T. Chakraborty,et al.  Characteristics of Exposure to Particles due to Incense Burning inside Temples in Kanpur, India , 2017 .

[31]  Célina Roda,et al.  Assessment of indoor environment in Paris child day care centers. , 2011, Environmental research.

[32]  Qian Zhu,et al.  IOT Gateway: BridgingWireless Sensor Networks into Internet of Things , 2010, 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing.

[33]  S. Keskin,et al.  Indoor air particulate matter exposure of commuter bus passengers in Istanbul, Turkey , 2017 .

[34]  Kwok Wai Tham,et al.  Indoor air quality and its effects on humans—A review of challenges and developments in the last 30 years , 2016 .

[35]  Hao Chen,et al.  A brief introduction to IoT gateway , 2011 .

[36]  E. Gaga,et al.  Indoor air quality assessment in painting and printmaking department of a fine arts faculty building. , 2015 .

[37]  Serguei Popov,et al.  Equilibria in the Tangle , 2017, Comput. Ind. Eng..

[38]  C. Pfrang,et al.  Can houseplants improve indoor air quality by removing CO2 and increasing relative humidity? , 2018, Air Quality, Atmosphere & Health.

[39]  Deepak Singh,et al.  Statistical modeling of O3, NOx, CO, PM2.5, VOCs and noise levels in commercial complex and associated health risk assessment in an academic institution. , 2016, The Science of the total environment.

[40]  P. Hopke,et al.  Indoor and outdoor concentrations of BTEX and formaldehyde in Tehran, Iran: effects of building characteristics and health risk assessment , 2018, Environmental Science and Pollution Research.

[41]  W. M. Li,et al.  Risk assessment of exposure to volatile organic compounds in different indoor environments. , 2004, Environmental research.

[42]  Farideh Atabi,et al.  Experimental and numerical analyses of particulate matter concentrations in underground subway station , 2018, International Journal of Environmental Science and Technology.

[43]  Tuncay Döğeroğlu,et al.  Spatial variation of VOCs and inorganic pollutants in a university building , 2017 .

[44]  Duckshin Park,et al.  A multivariate study for characterizing particulate matter (PM(10), PM(2.5), and PM(1)) in Seoul metropolitan subway stations, Korea. , 2015, Journal of hazardous materials.

[45]  Alena Bartonova,et al.  Can commercial low-cost sensor platforms contribute to air quality monitoring and exposure estimates? , 2017, Environment international.

[46]  Godson R. E. E. Ana,et al.  Indoor air quality and reported health symptoms among hair dressers in salons in Ibadan, Nigeria , 2019 .