Air quality data analysis and forecasting platform based on big data

被引:0
|
作者
Wang, Jinghan [1 ]
Zhang, Jinnan [1 ]
Yuan, XueGuang [1 ]
Tang, Yu [1 ]
Hao, Hongyu [1 ]
Zuo, Yong [1 ]
Tan, Zebin [1 ]
Qiao, Min [1 ]
Cao, Yang Hua [1 ]
Ai, Lingmei [1 ]
Wan, Yihang [1 ]
Chen, Hao [1 ]
机构
[1] Beijing Univ Posts & Telecommun, Informat Photon & Opt Commun Lab, Beijing, Peoples R China
关键词
Air quality; Big data; Data mining; Data visualization;
D O I
10.1109/cac48633.2019.8996332
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Nowadays, with the continuous development of big data technology, various industries use big data technology to process and mine massive data, and realize the value of data efficiently. In terms of air quality data processing, big data technology can also play a certain advantage. The platform is based on big data technology to design an air quality data analysis and prediction platform including data layer, business layer, interaction layer and visualization platform. Data is cleaned, calibrated, and stored in the data layer to ensure data consistency, integrity, and security. The air quality data is analyzed and predicted at the business layer. The interaction layer includes the functions of algorithm management, data query, and the data visualization platform provides intuitive information display. This design is a significant application for fully exploiting environmental data information. It has powerful data processing functions and scalability, which is a reliable data analysis and prediction platform.
引用
收藏
页码:2042 / 2046
页数:5
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