Development of a Filtering Respirator with a Real-Time Monitoring Device for Pressure Drop
Abstract
Purpose. Development of a filtering respirator with a device for operational pressure drop control.
Method: The development of the filtering respirator with a real-time monitoring device for pressure drop involves the use of the following equipment: the ESP32-C6-LCD-1.47 microcontroller with a video display, and the MPXV7002DP FRS pressure sensor, which enable monitoring of the pressure drop caused by dust accumulation, based on determining the critical filter resistance value.
Findings. A real-time monitoring device for pressure drop in the respirator filter box has been developed. It provides prerequisites for improving worker safety in hazardous conditions and extends the possibilities of personalizing respiratory protective equipment according to specific operational requirements and users’ physiological characteristics. The developed algorithm of the device enhances the protective properties of the filtering respirator by timely informing the user about the pressure drop status of the filter, which is associated with half-mask tightness and battery charge level. A mathematical model has been proposed, correlating filter parameters, breathing mode, and the characteristics of the pressure drop sensor, which allows for determining changes in the pressure drop across the filter element depending on dust accumulation on the filter surface. This makes it possible to control filter service life by comparing it with the critical pressure drop value.
Paper type. Experimental studies of filtering respirator’ performance indicators.
Downloads
References
Cheberyachko, S.I., Yavors’ka, O.O., Morozova, T.I. (2013). Study of mechanical half-mask pressure along obturation bar. Mining of Mineral Deposits, рр. 317-323.
Roberge, R.J., Monaghan, W.D., Palmiero, A.J. et al. (2011). Infrared imaging for leak detection of N95 filtering facepiece respirators: A pilot study. American Journal of Industrial Medicine, Vol. 54, рр. 628-636.
Srijit, D., Sakthiswary, R. (2020). Personal protective equipment (PPE) and its use in COVID-19: important facts. Indian Journal of Surgery, рр. 1-2. DOI: https://doi.org/10.1007/s12262-020-02411-8.
Shin, W. (2022). A Study on the Measurement of Respiratory Rate Using a Respirator Equipped with an Air Pressure Sensor. International Journal of Advanced Smart Convergence, 11(4), рр. 240-246. DOI: https://doi.org/10.7236/IJASC.2022.11.4.240.
Pei, C., Chen, W., Ou, Q., Pui, D.Y.H. (2023). Smart Filter Performance Monitoring System. Aerosol Air Qual, Res. 23, 220416. DOI: https://doi.org/10.4209/aaqr.220416.
Novel Smart N95 Filtering Facepiece Respirator with Real-time Adaptive Fit Functionality and Wireless Humidity Monitoring for Enhanced Wearable Comfort // Kangkyu Kwon and Yoon Jae Lee and Yeong-Tae Jung and Ira Soltis and Chanyeong Choi and Yewon Na and Lissette Romero and Myung Chul Kim and Nathan Rodeheaver and Hodam Kim and Michael S. Lloyd and Ziqing Zhuang and William King and Susan Xu and Seung Hwan Ko and Jinwoo Lee and Woon‐Hong Yeo. Journal ArXiv, 2023, 2309.07152, Available from: https://api.semanticscholar.org/CorpusID:261822598.
Aqueveque P, Díaz M, Gomez B, Osorio R, Pastene F, Radrigan L, Morales A. (2022). Embedded Electronic Sensor for Monitoring of Breathing Activity, Fitting and Filter Clogging in Reusable Industrial Respirators. Biosensors (Basel), Nov 8;12(11):991. DOI: https://doi.org/10.3390/bios12110991. PMID: 36354500; PMCID: PMC9688112.
Roberge, RJ., Kim, J-H., Powell, JB., Shaffer, RE., Ylitalo, CM., Sebastian, JM. (2013) Impact of Low Filter Resistances on Subjective and Physiological Responses to Filtering Facepiece Respirators. PLoS ONE 8(12): e84901. DOI: https://doi.org/10.1371/journal.pone.0084901.
Cao, Q., Pui, D.Y.H., Pui, D.Y.H., Lipiński, W. (2015). A concept of a novel solar-assisted large-scale cleaning system (Salscs) for urban air remediation. Aerosol Air Qual. Res. 15, рр. 1-10. DOI: https://doi.org/10.4209/aaqr.2014.10.0246.
Bazaluk, O., Ennan, A., Cheberiachko, S., Deryugin, O., Cheberiachko, Y., Saik, P., Lozynskyi, V., & Knysh, I. (2021). Research on Regularities of Cyclic Air Motion through a Respirator Filter. Applied Sciences, 11(7), 3157. DOI: https://doi.org/10.3390/app11073157.
Cheberiachko, S., Cheberiachko, Y., Deryugin, O., Kravchenko, B., Nehrii, T., Nehrii, S., & Zolotarova, O. (2023). Increasing the insulation properties of filter respirators to protect miners’ respiratory organs from dust. Rudarsko-geološko-Naftni Zbornik, 38(4), рр. 27-40. DOI: https://doi.org/10.17794/rgn.2023.4.3.
Diekman, C.O., Thomas, P.J., & Wilson, C.G. (2017). Eupnea, tachypnea, and autoresuscitation in a closed-loop respiratory control model. Journal of Neurophysiology, 118, рр. 2194-2215. DOI: https://doi.org/10.1152/jn.00170.2017.
Bergman, M., Basu, R., Lei, Z., Niezgoda, G., & Zhuang, Z. (2017). Development of a Manikin-Based Performance Evaluation Method for Loose-Fitting Powered Air-Purifying Respirators. Journal of The International Society for Respiratory Protection, 34, рр. 40-57. Available from: https://pubmed.ncbi.nlm.nih.gov/30498287/
Stafford, R. G., Ettinger, H.J., & Rowland, T.J. (1973). Respirator Cartridge Filter Efficiency under Cyclic- and Steady-Flow Conditions. American Industrial Hygiene Association Journal, 34(5), рр. 182-192. DOI: https://doi.org/10.1080/0002889738506832.
Yao BG, Wang YX, Ye XY, Zhang F, Peng YL. (2019). Impact of structural features on dynamic breathing resistance of healthcare face mask. Sci Total Environ. Nov 1;689:743-753. DOI: https://doi.org/10.1016/j.scitotenv.2019.06.463. Epub 2019 Jun 28. PMID: 31280156.
Qiang Li, Zhichao Wang, Shuangquan Shao, Zhiqiang Niu, Yalu Xin, Dan Zhao, Yinyan Hou, Zhaowei Xu. (2022). Experimental study on the synthetic dust loading characteristics of air filters, Separation and Purification Technology, Volume 284, 120209, DOI: https://doi.org/10.1016/j.seppur.2021.120209.
Abstract views: 83 PDF Downloads: 36
Copyright (c) 2026 Yurii Cheberiachko, Dmytro Radchuk, Serhii Cheberiachko, Dmytro Slavinskyi, Bohdan Kravchenko

This work is licensed under a Creative Commons Attribution 4.0 International License.
The authors agree with the following conditions:
1. Authors retain copyright and grant the journal right of first publication (Download agreement) with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
2. Authors have the right to complete individual additional agreements for the non-exclusive spreading of the journal’s published version of the work (for example, to post work in the electronic repository of the institution or to publish it as part of a monograph), with the reference to the first publication of the work in this journal.
3. Journal’s politics allows and encourages the placement on the Internet (for example, in the repositories of institutions, personal websites, SSRN, ResearchGate, MPRA, SSOAR, etc.) manuscript of the work by the authors, before and during the process of viewing it by this journal, because it can lead to a productive research discussion and positively affect the efficiency and dynamics of citing the published work (see The Effect of Open Access).












