Estimation of adjustment density elastomeric half-mask to the face
DOI:
https://doi.org/10.33271/crpnmu/62.100Keywords:
Half mask, thermogram, obturator, tightness factor.Abstract
Purpose. Development of a method for estimating the tightness of the elastomeric half-mask to the face of workers according to the thermographic image of the obturator. Methodology. The estimation is based on the application of a static approach to the estimation of thermographic images of the half-mask obturation band using built-in functions in the MATLAB mathematical environment using the integrative algorithm of nearest points - the ICP method. Findings. A method for estimating the tightness of the half-mask to the face by thermographic imaging of the obturator surface, elastomeric half-mask of the respirator, which allows by processing and comparing the image with the reference image of the obturation strip to calculate the coefficient of tightness of the half-mask to the face. The iterative approach is based on solving the problem of minimizing the occurrence of leaks in the obturation band of the filter respirator that will reduce errors in the design of its geometric dimensions and avoid algebraic errors in their evaluation. Scientificvalue. A method for measuring the surface temperature of the obturator with a thermal imager based on the processing of output signals has been developed, which allows for operational control of gaps along the obturation strip, detects deterioration of insulating properties of dust respirator and calculates its protection factor Practical value. The proposed method allows you to quickly determine the conformity of the half mask to the face of the employee when performing various production operations. Provides control of the clamping forces of the elastomeric half mask of the respirator to the person's face when choosing it and will help reduce the suction of unfiltered air into the mask space.References
EN 529:2005. Respiratory protective devices. Recommendations for selection, use, care and maintenance
Миронов, Л. А. (2002). Значение подсоса загрязненного воздуха в подмасочное пространство фильтрующих респираторов и методы его обнаружения. Рабочая одежда , (3), 15-21
Bollinger, N. J. (2004). NIOSH respirator selection logic . US Department of Health and Human Services, Public Health Service, Centers for Disease Control, National Institute for Occupational Safety and Health
Janssen, L., Luinenburg, M. D., Mullins, H. E., Danisch, S. G., & Nelson, T. J. (2003). Evaluation of a quantitative fit testing method for N95 filtering facepiece respirators. AIHA Journal , 64 (4), 480-486. https://doi.org/10.1080/15428110308984843
Coffey, C. C., Lawrence, R. B., Zhuang, Z., Campbell, D. L., Jensen, P. A., & Myers, W. R. (2002). Comparison of five methods for fit-testing N95 filtering-facepiece respirators. Applied occupational and environmental hygiene , 17 (10), 723-730. https://doi.org/10.1080/10473220290107002
Janssen, L., Luinenburg, M. D., Mullins, H. E., Danisch, S. G., & Nelson, T. J. (2003). Evaluation of a quantitative fit testing method for N95 filtering facepiece respirators. AIHA Journal , 64 (4), 480-486. https://doi.org/10.1080/15428110308984843
Han, D., Xu, M., Foo, S., Pilacinski, W., & Willeke, K. (1991). Simplified pressure method for respirator fit testing. American Industrial Hygiene Association Journal , 52 (8), 305-308. https://doi.org/10.1080/15298669191364776
Janssen, L. L., Luinenburg, M. D., Mullins, H. E., & Nelson, T. J. (2002). Comparison of three commercially available fit-test methods. AIHA Journal , 63 (6), 762-767. https://doi.org/10.1080/15428110208984767
Гансалес, Р., Вудс, Р., & Эддинс, С. (2006). Цифровая обработка изображений в среде MATLAB . Техносфера
Besl, P., & Mckay, N. (1992). A method for registration of 3-D shapes. IEEE transactions on pattern analysis and machine intelligence , 14 (2), 239-256. https://www.cvl.iis.u-tokyo.ac.jp/class2004/wedenesday/report/besl.pdf
Lei, Z., Yang, J., Zhuang, Z., & Roberge, R. (2013). Simulation and evaluation of respirator faceseal leaks using computational fluid dynamics and infrared imaging. Annals of occupational hygiene , 57 (4), 493-506. https://doi.org/10.1093/annhyg/mes085
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