Abstract
With the rapid development of China’s economy and the increasing level of urbanization, more and more attention has been paid to urban air pollution. Accurate monitoring of air quality at high altitude is always a problem. It is difficult to collect air quality data at high altitude, and the high cost leads to the lack of data collection of air quality at vertical height. It is imperative to combine UAV and traditional environmental monitoring devices to learn from each other when it is necessary to periodically test and compare air quality data at different altitudes. Environment monitoring system based on UAV, environment monitoring device and Internet. The system includes four rotor UAV, environmental monitoring terminal and computer environmental monitoring platform. This paper mainly studies and designs from these three parts.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Song, Z., Fang, W.: Overall design of multi-UAV collaborative air quality monitoring system. Comput. Knowl. Technol. 15(26), 92–93+100 (2019)
Li, G., Shen, Y., Wu, W., Liu, H., Niu, Z.: Design and implementation of indoor air quality monitoring device. Fujian Comput. 35(04), 86–87 (2019)
Yang, G., Zhang, J., Han, F., Liu, T., Yue, Z., He, J.: Integrated design of air quality monitoring system based on BDS. Exp. Technol. Manag. 35(06), 73–76+82 (2008)
Lin, K., Shi, J., Deng, Y., Zeng, Q.: Design and implementation of wearable air quality monitoring products. Guangxi Phys. 39(01), 28–30 (2008)
Qin, C.: Discussion on monitoring methods of ambient air quality in public places. Sci. Technol. Innov. Bull. 18, 127–128 (2009)
Jian, W., Jiansheng, S., Yaxiong, L., et al.: UAV 3D route planning based on artificial immune clone selection algorithm. Syst. Eng. Electron. 40(1), 86–90 (2018)
Gao, Z., Liu, B., Cheng, Z., et al.: Marine mobile wireless channel modeling based on improved spatial partitioning ray tracing. China Commun. 17(3), 1–1 (2020)
Zexuan, J., Kaihua, W., Shuo, W., et al.: Path planning algorithm for obstacle-bearing irregular areas of fully automatic plant protection unmanned aerial vehicles. Jiangsu Agric. Sci. 46(05), 220–223 (2018)
Shuai, L., Liu, G., Zhou, H.: A robust parallel object tracking method for illumination variations. Mob. Netw. Appl. 24(1), 5–17 (2019)
Shuai, L., Gelan, Y.: Advanced Hybrid Information Processing, pp. 1–594. Springer, New York (2019)
Liu, S., Lu, M., Li, H., et al.: Prediction of gene expression patterns with generalized linear regression model. Front. Genet. 10, 120 (2019)
Lu, M., Liu, S.: Nucleosome positioning based on generalized relative entropy. Soft. Comput. 23(19), 9175–9188 (2018). https://doi.org/10.1007/s00500-018-3602-2
Acknowledgements
This work was supported by the National Natural Science Foundation of China (NSFC) (U1731121), by a Project of Shandong Province Key R&D Program Project(2019GSF109105) and Shandong Province Higher Educational Science and Technology Program (J18KB108).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Xiaoyu, S., Yuanhang, L., Ligang, C., Xin, Z., Guoli, M. (2021). Research and Design of UAV Environmental Monitoring System. In: Liu, S., Xia, L. (eds) Advanced Hybrid Information Processing. ADHIP 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 347. Springer, Cham. https://doi.org/10.1007/978-3-030-67871-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-030-67871-5_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-67870-8
Online ISBN: 978-3-030-67871-5
eBook Packages: Computer ScienceComputer Science (R0)