Research Article
Design of Urban Air Quality Monitoring System Based on Big Data and UAV
@INPROCEEDINGS{10.1007/978-3-030-67871-5_15, author={Ying Zhao and Peng-yao Shi and Wen-hao Guo}, title={Design of Urban Air Quality Monitoring System Based on Big Data and UAV}, proceedings={Advanced Hybrid Information Processing. 4th EAI International Conference, ADHIP 2020, Binzhou, China, September 26-27, 2020, Proceedings, Part I}, proceedings_a={ADHIP}, year={2021}, month={2}, keywords={Big data Drone Air quality Monitoring}, doi={10.1007/978-3-030-67871-5_15} }- Ying Zhao
Peng-yao Shi
Wen-hao Guo
Year: 2021
Design of Urban Air Quality Monitoring System Based on Big Data and UAV
ADHIP
Springer
DOI: 10.1007/978-3-030-67871-5_15
Abstract
In order to effectively evaluate China’s air quality and provide technical support for maintaining a good atmospheric environment, the design scheme of urban air quality monitoring system based on big data and drone is studied. In the research process, a system hardware environment including a drone platform, an air quality sensor and anti-jamming equipment was constructed, which provided the basis and support for the development of system software. In the software design, the monitoring terminal program and the air quality information acquisition module are designed according to the system requirements, and the data received by the drone is restored, analyzed and stored and managed by the data multi-thread receiving module. The experimental results prove the effectiveness of the urban air quality monitoring system based on big data and drone. Applying the system to actual monitoring is beneficial to better analysis of the atmospheric environment and better maintenance of the atmospheric environment.
