TY - GEN
T1 - Open, IoT powered Environmental Air Pollution Monitoring Framework for Traffic Management
AU - Manchanayaka, M. A.L.S.K.
AU - Wijesekara, J. P.D.
AU - Yang, Chan Yun
AU - Premachandra, C.
AU - Firdhous, M. F.M.
AU - Sudantha, B. H.
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - An IoT-enabled Environmental Ambient Air Pollution Monitoring System was developed using open technologies including open hardware, open software, and open standards. It can detect and measure the concentrations of four major air pollutant gases. The system measures concentrations of air pollutant gases such as NO2, CO, SO2, and O3 using gas sensor modules. The system was developed to comply with IEEE 1451 standard, where the Smart Transducer Interface Module (STIM) was implemented using the Arduino Mega controller. Network Capable Application Processor (NCAP) was implemented using a NodeMCU and ATmega328P controller which is connected to the main board, STIM via the Transducer Independent Interface (TII). The system measures the concentrations of pollutant gases in every 10 seconds and collects all data upto 10 minutes. The measured concentration levels averaged to 10 min intervals and would be sent to the central server with the timestamp and data quality index. For the implementation of a fully open framework, the pollutant data made available free, and anyone can access data and they could be used for a relevant purpose considering the quality index.
AB - An IoT-enabled Environmental Ambient Air Pollution Monitoring System was developed using open technologies including open hardware, open software, and open standards. It can detect and measure the concentrations of four major air pollutant gases. The system measures concentrations of air pollutant gases such as NO2, CO, SO2, and O3 using gas sensor modules. The system was developed to comply with IEEE 1451 standard, where the Smart Transducer Interface Module (STIM) was implemented using the Arduino Mega controller. Network Capable Application Processor (NCAP) was implemented using a NodeMCU and ATmega328P controller which is connected to the main board, STIM via the Transducer Independent Interface (TII). The system measures the concentrations of pollutant gases in every 10 seconds and collects all data upto 10 minutes. The measured concentration levels averaged to 10 min intervals and would be sent to the central server with the timestamp and data quality index. For the implementation of a fully open framework, the pollutant data made available free, and anyone can access data and they could be used for a relevant purpose considering the quality index.
KW - air pollution monitoring
KW - Arduino
KW - electronic data sheet
KW - gas sensors
KW - IEEE 1451 standards
KW - IoT
KW - NodeMCU
KW - smart transducers
KW - STIM
KW - traffic data
UR - http://www.scopus.com/inward/record.url?scp=85124796710&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85124796710&partnerID=8YFLogxK
U2 - 10.1109/ICITR54349.2021.9657315
DO - 10.1109/ICITR54349.2021.9657315
M3 - Conference contribution
AN - SCOPUS:85124796710
T3 - Proceedings of 6th International Conference on Information Technology Research: Digital Resilience and Reinvention, ICITR 2021
BT - Proceedings of 6th International Conference on Information Technology Research
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th International Conference on Information Technology Research, ICITR 2021
Y2 - 1 December 2021 through 3 December 2021
ER -