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iothings:proiecte:2021:iotairquality [2022/01/27 20:05] sabin.olaru |
iothings:proiecte:2021:iotairquality [2022/01/27 20:29] (current) sabin.olaru |
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| The measurements were carried out outdoors, placing the sensor box outside the window of their own house, located on the fifth floor of a ten-story building. An important aspect to note is that the part of the block from which the measurements were made is not oriented towards the boulevard, so the impact of traffic on the measured air quality is lower. had a duration of seven weeks, being performed daily in a number of almost 7000 measurements, totaling a number of 47016 measurements. temperature and humidity: | The measurements were carried out outdoors, placing the sensor box outside the window of their own house, located on the fifth floor of a ten-story building. An important aspect to note is that the part of the block from which the measurements were made is not oriented towards the boulevard, so the impact of traffic on the measured air quality is lower. had a duration of seven weeks, being performed daily in a number of almost 7000 measurements, totaling a number of 47016 measurements. temperature and humidity: | ||
| - | {{https://ocw.cs.pub.ro/courses/_media/iothings/proiecte/2021/sabinTabelMasuratori.png?900x500}} | + | During the sampling period, there were precipitations, atmospheric phenomena which are reflected in the high percentage of measured humidity. The measured daily average concentrations of the pollutants and shown in the following table: |
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| + | {{https://ocw.cs.pub.ro/courses/_media/iothings/proiecte/2021/sabintabelmasuratori.png?450x250}} | ||
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| + | Based on the measured concentrations, the AQI indices were calculated for each monitored pollutant, and then the maxima were designated as the total AQI indices measured. The values of these indices are listed in the following table. | ||
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| + | {{https://ocw.cs.pub.ro/courses/_media/iothings/proiecte/2021/sabintabelaqi.png?450x250}} | ||
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| + | These measurements show a phenomenon that was to be expected in the environment in which the measurements were performed, namely that the main pollutant and the one that gives value of the total AQI mostly is PM2.5 (i.e dust particles in suspension). In the open air, in an urban environment, the phenomenon was to be expected, being a proven subject and brought into discussion by numerous scientific researches. It can also be seen that on Wednesday, the AQI calculated on the basis of the concentration of PM2.5 is significantly lower than in the other days. This result is marked in the table with the symbol * to highlight its particularity. This observation led to the verification of the sampled data and an interval was identified during which the sensor did not work value 0. By removing the erroneous measurements, a new AQI value corresponding to PM2.5 of 42.69 was obtained. This newly obtained value was also considered as the value of the total AQI for the day in question. | ||
| + | == Comparison to existing models == | ||
| + | In order to compare the performance of the designed system with existing models, two reference sources were used for the air quality index: | ||
| + | * **waqi.info** - An online source that monitors air quality in more than 100 Countries with over 30,000 measuring states in 1,000 major cities, which base their AQI calculation on the following pollutants: PM2.5 particulate matter and PM10, ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide. | ||
| + | * **iqair.com** - A source available online of Swiss origin, which provides information on global air quality, and which provides data from four locations located in Bucharest. | ||
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| + | The process of taking data from each source was made differently, due to the different distribution of their measurement stations. Source waqi.info has multiple stations nearby the location where our own measurements were made, but none close enough to be chosen to the detriment of others. Thus, the solution was chosen to take the data from the nearby stations and to average them, obtaining an average index that will be later compared to the data obtained by its own system. The second source, iqair.com, provides a measurement point located close to the location where the measurements were made, and thus being chosen as a reference. | ||
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| + | The data collected from these references were collected daily and tried to be as frequent as possible | ||
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| + | {{https://ocw.cs.pub.ro/courses/_media/iothings/proiecte/2021/sabingraficaqi.png?450x300}} | ||
| == 5. Conclusions and perspectives for further development == | == 5. Conclusions and perspectives for further development == | ||
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| In case of need, the assembly could be relocated to any area of interest, taking into account the portability of the measurement system and the mobility of drones. | In case of need, the assembly could be relocated to any area of interest, taking into account the portability of the measurement system and the mobility of drones. | ||
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| + | == 6. Bibliography == | ||
| + | [[https://www.who.int/health-topics/air-pollution/]] | ||
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| + | [[https://medium.com/datadriveninvestor/4-stages-of-iot-architecture-explained-in-simple-words-b2ea8b4f777/]] | ||
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| + | [[https://www.gsma.com/iot/wp-content/uploads/2018/08/Air-Quality-Monitoring-ReportIoT-Big-Data0818.pdf]] | ||
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| + | [[Perry Lea.”IoT and Edge Computing for Architects - Second Edition”. 2020]] | ||
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| + | [[David Hanes Rob Barton, Gonzalo Salgueiro.”IoT Fundamentals: Networking Technologies, Protocols, and Use Cases for the Internet of Things”. 2017.]] | ||
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| + | [[https://www.eea.europa.eu/themes/air/air-quality-index]] | ||
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| + | == 7. Demo== | ||
