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
相关论文
共 50 条
  • [41] Public Cultural Big Data Analysis Platform
    Zhang, Guigang
    Yang, Yi
    Zhai, Xiaoshuang
    Huang, Weixing
    Wang, Jian
    2016 IEEE SECOND INTERNATIONAL CONFERENCE ON MULTIMEDIA BIG DATA (BIGMM), 2016, : 398 - 403
  • [42] Web-based Collaborative Big Data Analytics on Big Data as a Service Platform
    Park, Kyounghyun
    Minh Chau Nguyen
    Won, Heesun
    2015 17TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT), 2015, : 564 - 567
  • [43] A Method of Quality Improvement based on Big Quality Warranty Data Analysis
    Pan, Xing
    Zhang, Manli
    Chen, Xi
    2018 IEEE 18TH INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY COMPANION (QRS-C), 2018, : 643 - 644
  • [44] An empirical analysis of industrial technology innovation based on big data platform
    Cui, Xiong (13805151079@139.com), 2017, Universidad Central de Venezuela (55):
  • [45] RAMS Analysis of Train Air Braking System Based on GO-Bayes Method and Big Data Platform
    Cai, Guoqiang
    Wang, Yaofei
    Song, Qiong
    Yang, Chen
    COMPLEXITY, 2018,
  • [46] KAFKA: The Modern Platform for Data Management and Analysis in Big Data Domain
    Shree, Rishika
    Choudhury, Anupriya
    Gupta, Subhash Chand
    Kumar, Praveen
    2017 2ND INTERNATIONAL CONFERENCE ON TELECOMMUNICATION AND NETWORKS (TEL-NET), 2017, : 542 - 546
  • [47] Data Science and Big Data in Energy Forecasting
    Martinez-Alvarez, Francisco
    Troncoso, Alicia
    Riquelme, Jose C.
    ENERGIES, 2018, 11 (11)
  • [48] Big Data Analysis of Massive PMU Datasets: A Data Platform Perspective
    Kumar, Vijay S.
    Wang, Tianyi
    Aggour, Kareem S.
    Wang, Pengyuan
    Hart, Philip J.
    Yan, Weizhong
    2021 IEEE POWER & ENERGY SOCIETY INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE (ISGT), 2021,
  • [49] Recursive modelling and adaptive forecasting of air quality data
    Ng, CN
    Yan, TL
    AIR POLLUTION VI, 1998, 6 : 869 - 877
  • [50] Optimal statistical model for forecasting air quality data
    Abdollahian, M
    Foroghi, R
    METMBS '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON MATHEMATICS AND ENGINEERING TECHNIQUES IN MEDICINE AND BIOLOGICAL SCIENCES, 2004, : 436 - 442