Study and Implementation of PM2.5 Data Download Service Based on Python

Abstract:

Aiming at the present situation of research institutions attaching great importance to air pollution control but air quality data acquisition is not convenient, solutions based on Python and Django to provide the service of the air quality data downloading such as PM2.5 is proposed along with their detailed implementation process in Web system design and development. The results indicate that, these techniques enhanced the developing efficiency, the system's service of data downloading can provide comprehensive monitoring data which can be used directly by researchers and improve their efficiency. Accumulated historical data storage is also very important to the study of air quality changing and the pollution prevention.

• Periodical: Applied Mechanics and Materials (Volumes 411-414)
• Pages: 555-558
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.411-414.555
• Online since: September 2013
• Authors: Kun Cao, Fei Wang, Jin Gang Liu
• Keywords: Air Pollution, CSV, Data Download, Django, Python

References

[1] Xuhua Miao, Liqun Bao, Ying Li: Computer Application and Software. Vol. 30 (2013), p.128.

[2] Dongmei Huang, Huan Qiao: Computer Application and Software. Vol. 30 (2013), p.180.

[3] Jeff. Forcier: Python Web development with Django(Addison-Wesley Professional, 2008).

[4] Mark Pilgrim: Dive into Python(Appress, 2004).

[5] Paul Barry: Head First Python(O'Reilly Media, 2010).

[6] Wesley J. Chun: Core Python Programming(Prentice Hall PTR, 2006).

[7] Information on http: /djangobook. py3k. cn/2. 0.