“Implementación de un sistema de monitoreo para detectar concentraciones de contaminantes atmosféricos en la Av. Guayaquil de la ciudad de Quevedo, provincia de Los Ríos”
The objective of this research was to design an electronic system that allows detecting the concentration levels of carbon monoxide (CO) and particulate matter (PM2.5) in Av. Guayaquil for a period of 2 months, where embedded systems were used that allowed the collection of data, which were then ana...
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| Формат: | bachelorThesis |
| Язык: | spa |
| Опубликовано: |
2020
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| Предметы: | |
| Online-ссылка: | http://repositorio.uteq.edu.ec/handle/43000/6176 |
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Добавить метку | Итог: | The objective of this research was to design an electronic system that allows detecting the concentration levels of carbon monoxide (CO) and particulate matter (PM2.5) in Av. Guayaquil for a period of 2 months, where embedded systems were used that allowed the collection of data, which were then analyzed with the Air Quality Standard or level of immission Book VI annex 4, in which it determines the alert levels according to the type of pollutant, , the concentration correction equation was applied to correct the obtained value, taking into account the environmental conditions of the study area. The MQ-7 sensor was used to detect CO concentrations, it is analog and easy to implement with any microcontroller, it has an internal heater, this is so that the output values are stable, on the other hand, the PMS3003 sensor output is digitally and the values obtained were sent to the host automatically in real time. All the information obtained by the sensors was stored in the InfluxDB database, which is connected to the Grafana web application, which allowed the information to be displayed through graphics, where the variations that occurred during the normal time with the of confinement carried out by the pandemic. As a final result of the analysis of the concentration levels of carbon monoxide (CO), a maximum value of 49.28 ppm was obtained, however, in particulate matter (PM2.5) it reached a maximum value of 5.35 ppm, whose results are within of the permissible range and do not affect human health. Keywords: carbon monoxide, particulate matter (PM2.5), sensors, arduino, Raspberry Pi, time series, Graphana |
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