THE DEVELOPMENT OF PARTICULATE MATTER MONITORING SYSTEM
Airborne particulates with a diameter smaller than 2.5 µm (PM2.5) have a negative impact on human health and the environment, therefore monitoring systems to cope with these impacts is required. The PM2.5 monitoring system requires cheap, compact, and high accuracy sensors. Researchers have devel...
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id-itb.:266292018-08-10T09:52:15ZTHE DEVELOPMENT OF PARTICULATE MATTER MONITORING SYSTEM SYAH MAULANA (NIM : 20216045), DIAN Indonesia Theses INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/26629 Airborne particulates with a diameter smaller than 2.5 µm (PM2.5) have a negative impact on human health and the environment, therefore monitoring systems to cope with these impacts is required. The PM2.5 monitoring system requires cheap, compact, and high accuracy sensors. Researchers have developed sensors that can measure airborne particulates using light scattering methods. However, these sensors require the testing stage before being used in the field so there is a need for a calibration system that can test its performance. Aerosol chamber has been successfully characterized by varying the volume and rate of air flow resulting in the amount of data that depends on the timing, airflow, and volume. This thesis designs a PM2.5 monitoring system using sensors that have been tested in aerosol chambers. The three sensors (Honeywell HPMA115S0-XXX, Winsen ZH03B, and Novafitness SDS011) were successfully tested and Honeywell HPMA115S0-XXX is the most suitable sensor used in the monitoring system because it has great linearity, stability, and precision compared to the other two sensors The monitoring system uses the ATMega328 AVR microcontroller as the data controller of the sensor. Then the data is processed and sent to the internet using a modem. Modems used are ESP-12E and A6 GSM modules. Data that has been sent to the internet can be directly viewed on a computer or smartphone connected to the internet using a standard browser application. Field testing conducted at Car Free Day (CFD) Dago uses an internet communication network with Message Queuing Telemetry Transport (MQTT) protocol. The monitoring results show that CFD can reduce PM concentration by 14,554% from working day. text |
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Airborne particulates with a diameter smaller than 2.5 µm (PM2.5) have a negative impact on human health and the environment, therefore monitoring systems to cope with these impacts is required. The PM2.5 monitoring system requires cheap, compact, and high accuracy sensors. Researchers have developed sensors that can measure airborne particulates using light scattering methods. However, these sensors require the testing stage before being used in the field so there is a need for a calibration system that can test its performance. Aerosol chamber has been successfully characterized by varying the volume and rate of air flow resulting in the amount of data that depends on the timing, airflow, and volume. This thesis designs a PM2.5 monitoring system using sensors that have been tested in aerosol chambers. The three sensors (Honeywell HPMA115S0-XXX, Winsen ZH03B, and Novafitness SDS011) were successfully tested and Honeywell HPMA115S0-XXX is the most suitable sensor used in the monitoring system because it has great linearity, stability, and precision compared to the other two sensors The monitoring system uses the ATMega328 AVR microcontroller as the data controller of the sensor. Then the data is processed and sent to the internet using a modem. Modems used are ESP-12E and A6 GSM modules. Data that has been sent to the internet can be directly viewed on a computer or smartphone connected to the internet using a standard browser application. Field testing conducted at Car Free Day (CFD) Dago uses an internet communication network with Message Queuing Telemetry Transport (MQTT) protocol. The monitoring results show that CFD can reduce PM concentration by 14,554% from working day. |
format |
Theses |
author |
SYAH MAULANA (NIM : 20216045), DIAN |
spellingShingle |
SYAH MAULANA (NIM : 20216045), DIAN THE DEVELOPMENT OF PARTICULATE MATTER MONITORING SYSTEM |
author_facet |
SYAH MAULANA (NIM : 20216045), DIAN |
author_sort |
SYAH MAULANA (NIM : 20216045), DIAN |
title |
THE DEVELOPMENT OF PARTICULATE MATTER MONITORING SYSTEM |
title_short |
THE DEVELOPMENT OF PARTICULATE MATTER MONITORING SYSTEM |
title_full |
THE DEVELOPMENT OF PARTICULATE MATTER MONITORING SYSTEM |
title_fullStr |
THE DEVELOPMENT OF PARTICULATE MATTER MONITORING SYSTEM |
title_full_unstemmed |
THE DEVELOPMENT OF PARTICULATE MATTER MONITORING SYSTEM |
title_sort |
development of particulate matter monitoring system |
url |
https://digilib.itb.ac.id/gdl/view/26629 |
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