| Title |
Demo Abstract: Smart City: a real-time environmental monitoring system on green roof |
| ID_Doc |
41462 |
| Authors |
Zhao, ZH; Wang, JH; Fu, CX; Liu, DW; Li, BL |
| Title |
Demo Abstract: Smart City: a real-time environmental monitoring system on green roof |
| Year |
2018 |
| Published |
|
| DOI |
10.1109/IoTDI.2018.00049 |
| Abstract |
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. |
| Author Keywords |
wireless sensor networks; green roof; wind tunnel; stable and flexible architectures; PM2.5 concentration monitoring |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000583888700039 |
| WoS Category |
Computer Science, Theory & Methods; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
|