IoT-Based Air Quality Monitoring in Hair Salons: Screening of Hazardous Air Pollutants Based on Personal Exposure and Health Risk Assessment

被引:0
|
作者
A. Blessy
J. John Paul
Sneha Gautam
V. Jasmin Shany
M. Sreenath
机构
[1] Karunya Institute of Technology and Sciences,Department of Civil Engineering
[2] Karunya Institute of Technology and Sciences,Department of ECE
[3] A Centre of Excellence,Water Institute
[4] Karunya Institute of Technology and Sciences,undefined
[5] Tamil Nadu,undefined
来源
关键词
Air pollution; Internet of Things (IoT); ThingSpeak cloud platform; Personal exposure; Hair salon; Health risk assessment;
D O I
暂无
中图分类号
学科分类号
摘要
Hair salons use many hair products that have toxic chemicals in them. These toxic chemicals include volatile organic compounds, formaldehyde, and particulate matter. Daily exposure to these pollutants causes severe health issues in the long run. This study aims to find the concentration of the air pollutants such as PM1, PM2.5, PM10, TVOC, CO2, and formaldehyde in four hair salons located in Coimbatore, Tamil Nadu, India. In this paper, we propose an IoT-based air quality monitoring system with integrated sensors to monitor the concentration of air pollutants remotely via ThingSpeak data analytics cloud platform in hair salons. The maximum 15 min average concentration values of PM1, PM2.5, and PM10 were 128, 154, and 169 µg/m3 respectively. The TVOC levels exhibited a rapid increase of about 80–90% during facials and hair gel application and a peak value of about 5248.25 ppb was measured at salon 2. Also, weekend and weekday comparison is done. It was found that the weekend concentrations of the measured pollutants are comparatively higher than weekday concentrations. After analyzing the pollutant concentration, the effects of primary health parameters such as blood pressure and pulse rate of the hairdressers are measured. One-third of the hairdressers displayed high blood pressure values with a maximum of 161/104 which falls under stage 2 hypertension. Also, secondary parameters such as temperature, humidity, ventilation type, and number of customers are also measured. From the overall analysis, it is suggested that adequate ventilation and regulated product usage are said to reduce the effects of indoor air pollution.
引用
收藏
相关论文
共 50 条
  • [1] IoT-Based Air Quality Monitoring in Hair Salons: Screening of Hazardous Air Pollutants Based on Personal Exposure and Health Risk Assessment
    Blessy, A.
    Paul, J. John
    Gautam, Sneha
    Shany, V. Jasmin
    Sreenath, M.
    WATER AIR AND SOIL POLLUTION, 2023, 234 (06):
  • [2] Indoor air quality in hair salons: Screening of volatile organic compounds and indicators based on health risk assessment
    de Gennaro, Gianluigi
    de Gennaro, Lucrezia
    Mazzone, Antonio
    Forcelli, Francesca
    Tutino, Maria
    ATMOSPHERIC ENVIRONMENT, 2014, 83 : 119 - 126
  • [3] An IoT-based Air Quality Monitoring Platform
    Lucena de Medeiros, Helton Pierre
    Girao, Gustavo
    2020 IEEE INTERNATIONAL SMART CITIES CONFERENCE (ISC2), 2020,
  • [4] An IoT-Based Intelligent Air Quality Monitoring System
    Chetan, K. R.
    COMPUTATIONAL VISION AND BIO-INSPIRED COMPUTING ( ICCVBIC 2021), 2022, 1420 : 367 - 380
  • [5] Development of an IoT-Based Indoor Air Quality Monitoring Platform
    Jo, JunHo
    Jo, ByungWan
    Kim, JungHoon
    Kim, SungJun
    Han, WoonYong
    JOURNAL OF SENSORS, 2020, 2020
  • [6] Smart Air Quality Monitoring IoT-Based Infrastructure for Industrial Environments
    Garcia, Laura
    Garcia-Sanchez, Antonio-Javier
    Asorey-Cacheda, Rafael
    Garcia-Haro, Joan
    Zuniga-Canon, Claudia-Liliana
    SENSORS, 2022, 22 (23)
  • [7] Implementation and Deployment of an Outdoor IoT-based Air Quality Monitoring Testbed
    Tanyingyong, Voravit
    Olsson, Robert
    Hidell, Markus
    Sjodin, Peter
    Ahlgren, Bengt
    2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2018,
  • [8] An IoT-based handheld environmental and air quality
    Aashiq, M. N. M.
    Kurera, W. T. C. C.
    Thilekaratne, M. G. S. P.
    Saja, A. M. A.
    Rouzin, M. R. M.
    Neranjan, Navod
    Yassin, Hayti
    ACTA IMEKO, 2023, 12 (03): : 11 - 11
  • [9] Development and Assessment of an Indoor Air Quality Control IoT-Based System
    Guerrero-Ulloa, Gleiston
    Andrango-Catota, Alex
    Abad-Alay, Martin
    Hornos, Miguel J.
    Rodriguez-Dominguez, Carlos
    ELECTRONICS, 2023, 12 (03)
  • [10] IoT based Air Quality Monitoring
    Setiawan, F. N.
    Kustiawan, I.
    INTERNATIONAL SYMPOSIUM ON MATERIALS AND ELECTRICAL ENGINEERING (ISMEE) 2017, 2018, 384