TY - GEN
T1 - Demo abstract
T2 - 3rd ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2018
AU - Zhao, Zhihe
AU - Wang, Jiaheng
AU - Fu, Chenxu
AU - Liu, Dawei
AU - Li, Bailiang
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/25
Y1 - 2018/5/25
N2 - The research on the green roof is of great importance in the field of urban beautification and improving ecological effect. According to the previous research, plants have shown a significant impact on the absorption of PM2.5. Therefore, it is justified that the appropriate planting design or some particular combinations of plants can be considered as a solution, dealing with the urban fine particulate matter (PM2.5). This paper presented a work in progress on developing wireless sensor networks (WSN) system based on a prototype wind tunnel, which is used for the simulation of the green roof. Several data collection processes are handled by this system, where the concentration of PM2.5, wind speed, temperature & relative humidity are obtained and stored in the database simultaneously. Additionally, users are able to real-timely define their commands in details, controlling the sensor's height through a GUI on the website. Experimental and simulation results and measurements have verified the validity of the wind tunnel module as well as the reliability of the sensor network. The system can be operated on thousands of devices when the packet delay maintained in a low level.
AB - The research on the green roof is of great importance in the field of urban beautification and improving ecological effect. According to the previous research, plants have shown a significant impact on the absorption of PM2.5. Therefore, it is justified that the appropriate planting design or some particular combinations of plants can be considered as a solution, dealing with the urban fine particulate matter (PM2.5). This paper presented a work in progress on developing wireless sensor networks (WSN) system based on a prototype wind tunnel, which is used for the simulation of the green roof. Several data collection processes are handled by this system, where the concentration of PM2.5, wind speed, temperature & relative humidity are obtained and stored in the database simultaneously. Additionally, users are able to real-timely define their commands in details, controlling the sensor's height through a GUI on the website. Experimental and simulation results and measurements have verified the validity of the wind tunnel module as well as the reliability of the sensor network. The system can be operated on thousands of devices when the packet delay maintained in a low level.
KW - Green roof
KW - PM2.5 concentration monitoring
KW - Stable and flexible architectures
KW - Wind tunnel
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=85048474367&partnerID=8YFLogxK
U2 - 10.1109/IoTDI.2018.00049
DO - 10.1109/IoTDI.2018.00049
M3 - Conference Proceeding
AN - SCOPUS:85048474367
T3 - Proceedings - ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2018
SP - 300
EP - 301
BT - Proceedings - ACM/IEEE International Conference on Internet of Things Design and Implementation, IoTDI 2018
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 17 April 2018 through 20 April 2018
ER -
