Test Chamber for PM Monitoring Devices with a Python-Based GUI and Control System Using Wireless Connectivity
Particulate matter (PM) is one of the most dangerous air pollutants which consists of particles containing microscopic solid or liquid droplets of various sizes and shapes of different chemicals [1], [2]. These particles are usually divided into two basic particle metrics, PM 10 (aerodynamic diamete...
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| Veröffentlicht in: | Pan American Health Care Exchanges (Online) S. 1 |
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| Hauptverfasser: | , , , , , , |
| Format: | Tagungsbericht |
| Sprache: | Englisch |
| Veröffentlicht: |
IEEE
07.04.2025
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| Schlagworte: | |
| ISSN: | 2327-817X |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Particulate matter (PM) is one of the most dangerous air pollutants which consists of particles containing microscopic solid or liquid droplets of various sizes and shapes of different chemicals [1], [2]. These particles are usually divided into two basic particle metrics, PM 10 (aerodynamic diameter ≤ 10 micrometers) and PM 2.5 (aerodynamic diameter ≤ 2.5 micrometers) and is directly associated with the potential to cause health problems in people who are exposed [1], [3], [4]. PM can cause problems such as eye, nose and throat irritation, impact the central nervous system, cause obstructive pulmonary disease, impact the reproductive system, develop cardiovascular problems and develop lung cancer [5], [6]. The health impact produced by air pollutants has generated a trend in the design and manufacture of portable, personal and fixed PM monitoring systems to prevent exposure to air pollutants. However, these devices still need to address some issues, such as calibration, which is expensive and often takes a long time to perform, and some PM sensors need to be properly evaluated to compete with environmental monitors on the market. In this work, a portable test chamber with controlled environmental conditions and a wireless connectivity, to avoid exposure to PM, has been developed for the calibration and evaluation of low cost portable and personal PM sensors. The dimensions of the test chamber are: 66cm base, 39cm height and 33cm depth. To interface with air monitoring devices, environmental sensors and control tools (e.g., fans, motors, air extraction devices, etc.) an air quality monitoring control software Python-based with a graphical user interface (GUI) was developed using an Arduino Uno in each device to communicate via Bluetooth using a HC-06 device, while the pDR-1500 particle monitoring devices were interfaced and communicated via Wi-Fi (2.4GHz or 5GHz) using a Raspberry Pi 5 for each device. Two tests of 100 PM 2.5 measurements were performed, taking measurements every three seconds for 5 minutes, using incense as the source of pollution, of which the first test was between two calibrated pDR-1500 particle monitoring devices, while the second test was between a calibrated and an uncalibrated pDR-1500 particle monitoring device. During the tests, the relative humidity ranged from 33 to 35%, which indicates that the majority of the PM inside the test chamber was not affected by humidity, as mentioned in the work of [7]. In these tests, Pearson correlation analysis (r) was performed, which resulted with an r of 0.9947 in the first test between the calibrated devices, and an r of 0.9698 in the second test between the calibrated and non-calibrated devices. Moreover, a test was performed to corroborate the robustness of the performance and data transfer in which records were taken for 24 hours (1 sample per second), resulting in an average of 99.98% of successfully measured data for the GY-39 sensor and 100% for the pDR-1500 devices. This work contributes to the problems associated with personal and portable PM monitors by addressing the costly and time-consuming calibration process of commercial monitors. Furthermore, with the increasing demand for the development of new portable or low-cost PM sensors, it contributes to the validation and evaluation of these new devices. Another advantage of our prototype is the elimination of the risk of user exposure to PM during testing thanks to its wireless connectivity. For future work, adapting the test chamber to monitor other gases such as ozone (O 3 ), carbon monoxide (CO), nitrogen dioxide (NO 2 ), etc., is considered. Additionally, test with particles of known size and monodisperser will be used to introduce only particles of a specific size to increase the stringency of the process and prevent contamination with other particles. |
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| ISSN: | 2327-817X |
| DOI: | 10.1109/GMEPE/PAHCE65777.2025.11002796 |