113

11,200 千元

強化全國環境檢測-強化全國環境檢測智慧轉型

2024/02/23

2024/12/31

余政剛

國環院環境治理研究中心

米姿蓉

環輿科技股份有限公司

環境資訊系統、科技計畫、大氣空氣

巨量、治理指標、商業智慧、綠色產業、淨零

Big Data, BI, Green Industry, Net Zero, Environmental governance indicators

陳怡柔

(02)27788500#323

rou@gi-tech.com.tw

國家環境研究院藉由環境相關巨量資料的盤點及蒐整，並針對環境巨量資料進行解析應用，透過資訊蒐整、產業解析、模式分析、儀表板建置、統計圖表分析、污染溯源等方式進行數據整合應用，以解析與驗證相關數據代表意涵，提供環境治理實際應用參考。 本計畫主要執行內容包括產業綠色化解析、行動實驗室數據分析，以及環境巨量資訊系統的開發。首先，針對石化業的產業解析，建立石化業的環境指標項目。透過蒐整石化產業上市公司之公開資料及排放量，進行環境指標項目訂定及級距的試算，並召開專家諮詢會議，進一步完善指標內容，提供未來環境政策推動及管理參考。 在行動實驗室數據分析方面，團隊運用正矩陣因子法(Positive Matrix Fac-torization, PMF)對行動實驗室的斗六地區監測資料，進行非事件日以及事件日的污染源解析，並針對嘉義地區的監測資料，進行事件日的污染源分析。 在環境巨量資訊系統開發方面，已完成行動實驗室資料的介接及即時、歷史資料的分析功能，具備多項圖表分析功能，並包含資料檢核、異常通報及儀表板等功能，也蒐整過去環檢所及國環院的資料建置環境資料庫。此外，已將環境部78處空品測站資料及中央氣象署地面天氣圖介接於系統中，進行綜合分析。 同時，配合計畫成果推廣，辦理1場次成果發表研討會，以及完成2式圖卡製作推廣。綜合上述，本計畫希望能有效結合巨量資料解析研擬與行動實驗室的數據應用，強化環境監控及污染治理目標。

巨量、治理指標、商業智慧、綠色產業、淨零

113年度建置綠色產業2之四_成果報告(定稿)全.pdf

20MB

2025/2/7 上午 12:00:00

The National Environmental Research Institute has conducted an invento-ry and collection of environmental big data, and applies the data through in-formation collection, industry analysis, pattern analysis, dashboard construc-tion, statistical chart analysis, and pollution traceability, and then analyzes and validates the practical application of long-term environmental manage-ment indexes, and combines the application of the concept of business intelli-gence, so as to make the inventoried resources effective and efficient in envi-ronmental management and establish of environmental indicators to achieve the effect of assisting environmental management. The main contents of this project include industry analysis, mobile labor-atory data analysis, and the development of an environmental big data infor-mation system. Firstly, for industry analysis, we have established environ-mental indicator projects for the petrochemical industry by collecting public information and emissions data from publicly listed companies. We conducted preliminary calculations of the environmental indicators and their classifica-tions, followed by an expert consultation meeting to refine the content, providing a basis for future environmental policy development and manage-ment. For the analysis of data from mobile laboratory, the project used Positive Matrix Factorization (PMF) method to analyze the pollution sources on non-event days and high-value event days for the monitoring data of the Douliu area, as well as to analyze the pollution sources on event days for the moni-toring data of the Chiayi area. Regarding the environmental big data information system development, the project have connected mobile laboratory data to the system, which now supports real-time and historical data analysis with various charting features. The system includes data verification, abnormal alerts, geographic infor-mation system integration, and dashboards. the project have also collected the data form Environmental Inspection Agency and the Environmental Training Institute to build an environmental database. Additionally, the 78 air quality measurement stations of the Ministry of the Environment and the ground weather maps of the Central Weather Administration have been connected to the system for comprehensive analysis. In conclusion, this project aims to effectively integrate big data analysis technologies with the application of mobile laboratory to enhancing the effi-ciency of environmental monitoring and pollution control.

Big Data, BI, Green Industry, Net Zero, Environmental governance indicators