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The article discusses the informational and algorithmic support for an atmospheric air quality monitoring system. It describes the system's architecture and individual components, along with a logical data model and two approaches to calculating the Air Quality Index. Research on the use of caching methods, pre-aggregation, and sorting is presented to improve the efficiency of processing large volumes of data (Big Data).

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Algorithmic and Information Support in Atmospheric Air Quality Monitoring Systems

  • 会议论文

  • 发表日期：

    2025年

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  • Bella Holub,
  • Viktor Kyrychenko,
  • Dmytro Nikolaienko,
  • Maryna Lendiel,
  • Dmytro Shevchenko,
  • Andrii Khomenko

摘要

The article discusses the informational and algorithmic support for an atmospheric air quality monitoring system. It describes the system's architecture and individual components, along with a logical data model and two approaches to calculating the Air Quality Index. Research on the use of caching methods, pre-aggregation, and sorting is presented to improve the efficiency of processing large volumes of data (Big Data).