DOI QR코드

DOI QR Code

Real-time TVOC Monitoring System and Measurement Analysis in Workplaces of Root Industry

뿌리산업 작업장내 총휘발성유기화합물류(TVOC) 실시간 노출감시체계 구축과 농도 분석

  • Jong-Hyeok, Park (Department of Convergence IT Engineering, Pohang University of Science and Technology) ;
  • Beom-Su, Kim (Department of Convergence IT Engineering, Pohang University of Science and Technology) ;
  • Ji-Wook, Kang (Department of Convergence IT Engineering, Pohang University of Science and Technology) ;
  • Soo-Hee, Han (Department of Convergence IT Engineering, Pohang University of Science and Technology) ;
  • Kyung-Jun, Kim (Department of Convergence IT Engineering, Pohang University of Science and Technology)
  • 박종혁 (포항공과대학교 창의IT융합공학과) ;
  • 김범수 (포항공과대학교 창의IT융합공학과) ;
  • 강지욱 (포항공과대학교 창의IT융합공학과) ;
  • 한수희 (포항공과대학교 창의IT융합공학과) ;
  • 김경준 (포항공과대학교 창의IT융합공학과)
  • Received : 2022.12.02
  • Accepted : 2022.12.27
  • Published : 2022.12.30

Abstract

Objectives: This study analyzes TVOC concentrations in root industry workplaces in order to prevent probable occupational disease among workers. Root industry includes all the infrastructure of manufacturing, such as casting and molding. Methods: Real-time TVOC sensors were deployed in three root industry workplaces. We measured TVOC concentrations with these sensors and analyzed the results using a data-analysis tool developed with Python 3.9. Results: During the study period, the mean of the TVOC concentrations remained in an acceptable range, 0.30, 2.15, and 1.63 ppm across three workplaces. However, TVOC concentrations increased significantly at specific times, with respective maximum values of 4.98, 28.35, and 26.65 ppm for the three workplaces. Moreover, the analysis of hourly TVOC concentrations showed that during working hours or night shifts TVOC concentrations increased significantly to higher than twice the daily mean values. These results were scrutinized through classical decomposition results and autocorrelation indices, where seasonal graphs of the corresponding classical decomposition results showed that TVOC concentrations increased at a specific time. Trend graphs showed that TVOC concentrations vary by day. Conclusions: Deploying a real-time TVOC sensor should be considered to reflect irregularly high TVOC concentrations in workplaces in the root industry. It is expected that the real-time TVOC sensor with the presented data analysis methodology can eradicate probable occupational diseases caused by detrimental gases.

Keywords

Acknowledgement

이 논문은 2022년도 정부(과학기술정보통신부)의 재원으로 정보통신기획평가원의 지원((No. 2022-0-00120, 작업장 내 미세먼지 등 공기질의 유해성 및 작업가능여부 판단을 위한 작업자의 통합 웨어러블 디바이스 핵심기술 개발)과 2022년도 정부(교육부)의 재원으로 한국연구재단의 지원을 받아 수행 연구임(No. NRF-2022R1I1A1A01066264, 차세대 AIoT 디바이스 연결성 보장을 위한 6G LiFi 네트워킹 기술 연구).

References

  1. Ahn JJ. Occupational and environmental safety issues in South Korea and their implications for health experts. Korea Occup Safety & Health Agency 2022;48:19-27 (https://doi.org/10.5668/JEHS.2022.48.1.19)
  2. An WJ, Kim KY. A proposal of a smart work environmental management service model for small business. J Korean Soc Occup Environ Hyg 2021;31(2): 128-137 (https://doi.org/10.15269/JKSOEH.2021.31.2.128)
  3. Chae HJ, Kim BG, Kim HC, Lee MY, Leem JH. Multiple chemical sensitivity. Korea J Occup Environ Med 2012; 23(4):328-338
  4. Choi SJ, Jeong JY, Im SG, Lim DS, Koh DH et al. Chung EK. Standardization of work environment mesasurement information for constructing exposeure surveillance system. J Korean Soc Occup Environ Hyg 2019;29(3):322-334 (https://doi.org/10.15269/JKSOEH.2019.29.3.322)
  5. Choi CY, Jung HW, Cho JH. An ensemble method for missing data of environmental sensor considering univariate and multivariate characteristics. Sensors 2021;21(7595):0-22 (https://doi.org/10.3390/s21227595)
  6. Hu G, Wang T, Liu J, Chen Z, Zhong L et al. Serum protein expression profiling and bioinformatics analysis in workers occupationally exposed to chromium (VI). Toxicol Lett 2017;277:76-83 (https://doi.org/10.1016/j.toxlet.2017.05.026)
  7. Hu G, Li P, Cui X, Li Y, Zhang J et al. Cr(VI)-induced methylation and down-regulation of DNA repair genes and its association with markers of genetic damage in workers and 16HBE cells. Environ Pollut 2018;238:833-843 (https://doi.org/10.1016/j.envpol.2018.03.046)
  8. Hu G, Long C, Hu L, Xu BP, Chen T et al. Circulating lead modifies hexavalent chromium-induced genetic damage in a chromate-exposed population: An epidemiological study. Science of the Total Environment 2021;752:14182 (https://doi.org/10.1016/j.scitotenv.2020.141824)
  9. Jeong EG, Ha GC. Development of occupational and industrial health guide and occupational health summary for manufacturing plan. Occupational Safety and Health Research Institute Research.; 2018. p. 190-443
  10. Jia J, Li T, Yao C, Chen J, Feng L et al. Circulating differential miRNAs profiling and expression in hexavalent chromium exposed electroplating workers. Chemosphere 2020;260:127546 (https://doi.org/10.1016/j.chemosphere.2020.127546)
  11. Junaid M, Hashmi MZ, Malik RN. Evaluating levels and health risk of heavy metals in exposed workers from surgical instrument manufacturing industries of Sialkot, Pakistan. Environ Sci Pollut Res Int 2016; 23(18):18010-26 (https://doi.org/10.1007/s11356-016-6849-0)
  12. Kim JM. A study on the improvement of reasonable working environment measurement cycle. Report on korea industrial hygiene association 2007;1:424
  13. Kim W, Kim YK, You YS, Jung KH, Choi WJ et al. Development of an IoT smart sensor for detecting gaseous materials. J Korean Soc Occup Environ Hyg 2022;32(1):78-88 (https://doi.org/10.15269/JKSOEH.2022.32.1.78)
  14. Park SH, Park HD, Jang MY, Ro JW, Cho HU. Development of a GC-MS automatioc analysis program to provide infromation on exposure to chemical substances. J Korean Soc Occup Environ Hyg 2021;31(1):1-12 (https://doi.org/10.15269/JKSOEH.2021.31.1.1)
  15. Phee YG, Kim SW, Ha KC. Comparison of notation items for chemical occupational exposure limits. J Korean Soc Occup Environ Hyg 2021;31(1):1-12 (https://doi.org/10.15269/JKSOEH.2020.30.2.226)
  16. Proctor PM, Suh M, Campleman SL, Thompson CM. Assessment of the mode of action for hexavalent chromium-induced lung cancer following inhalation exposures. Toxicology 2014;325:160-179 (https://doi.org/10.1016/j.tox.2014.08.009)
  17. Urbano AM, Ferreira LM, Alpoim MC. Molecular and cellular mechanisms of hexavalent chromium-induced lung cancer: an updated perspective. Curr Drug Metabol 2012;13:284-305
  18. Joshi R, Gyllensten IC. Changes in daily measures of blood pressure and heart rate improve weight-based detection of heart failure deterioration in patients on telemonitoring. IEEE Journal of Biomedical and Health Informatics, 2019;23(3):1041-1048 (https://doi.org/10.1109/JBHI.2018.2856916)
  19. Sarmah SS. An efficient IoT-based patient monitoring and heart disease prediction system using deep learning modified neural network. IEEE Access, 2020;8:135784-135797 (https://doi.org/10.1109/ACCESS.2020.3007561)
  20. Srigboh RK, Basu N, Stephens J, Asampong E, Perkins M et al. Multiple elemental exposures amongst workers at the Agbogbloshie electronic waste (e-waste) site in Ghana. Chemosphere 2016;164:68-74 (https://doi.org/10.1016/j.chemosphere.2016.08.089)
  21. Su TY, Pan CH, Hsu YT, Lai CH. Effects of heavy metal exposure on shipyard welders: A cautionary note for 8-Hydroxy-2'-Deoxyguanosine. Int J Environ Res Public Health 2019;16(23):4813 (https://doi.org/10.3390/ijerph16234813)
  22. Tsuchiyama T, Tazaki A, Hossain MM, Yajima I, Ahsan N et al. Increased levels of renal damage biomarkers caused by excess exposure totrivalent chromium in workers in tanneries. Environmental Research 2020;188:109770 (https://doi.org/10.1016/j.envres.2020.109770)