System and Method for extracting highly concentrated fine dust cases

The system analyzes fine dust data using sensors and a management server to identify high-concentration cases, addressing the limitations of current methods by providing comprehensive source identification and reducing analysis time and costs.

KR102991290B1Active Publication Date: 2026-07-15KOREA ELECTRIC POWER CORP

Patent Information

Authority / Receiving Office
KR · KR
Patent Type
Patents
Current Assignee / Owner
KOREA ELECTRIC POWER CORP
Filing Date
2020-07-14
Publication Date
2026-07-15

AI Technical Summary

Technical Problem

Current methods for estimating fine dust concentration primarily focus on urban areas and fail to distinguish between various pollutants, lacking comprehensive analysis of fine dust sources and their characteristics.

Method used

A system and method that integrates multiple sensors, collection devices, and a management server to analyze fine dust data, considering seasonal meteorological characteristics and regional pollution, using cluster analysis to identify high-concentration cases and evaluate their causes.

Benefits of technology

Enables quantitative analysis of fine dust causes by region and season, providing scientific evidence for policy development and reducing analysis time and costs by processing data collectively.

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Abstract

A system for extracting high-concentration fine dust cases is disclosed, which can analyze the causes and evaluate characteristics by comprehensively considering fine dust measurement bases, seasonal meteorological characteristics, and regional pollution characteristics. The high-concentration fine dust case extraction system is characterized by comprising a plurality of sensors that generate fine dust information regarding power plants, a plurality of collection devices that collect said fine dust information, and a management server that generates fine dust impact assessment information using said fine dust information collected from the plurality of collection devices via a communication network.
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