環保專案成果報告查詢系統

專案計畫編號
經費年度	112
計畫經費	6,700 千元
專案開始日期	2023/07/13
專案結束日期	2023/12/31
專案主持人	陳致任
主辦單位	國環院檢測認證中心
承辦人	陳滄欽
執行單位	環輿科技股份有限公司
專案分類	科技計畫
中文關鍵字	巨量、倉儲、商業智慧
英文關鍵字	Big Data, Data WareHouse, Business Intelligence
協同主持人
共同主持人
計畫聯絡人	林佳玉
計畫聯絡電話	02-27788500#322
計畫聯絡信箱	nora@gi-tech.com.tw

中文摘要	環檢所與環訓所兩大機關組改後升格為國家環境研究院。原環檢所根據不同檢(監)測工作建構各類方法、巨量數據產出，需透過資料庫的彙整，將巨量資料進行有效地盤點與分類，並透過業務訪談會議、蒐整長期環境治理指標等需求，設計巨量倉儲系統等相關應用規劃。本計畫先期建置作業包含蒐整國內相關檢(監)測資料、國內外環境巨量資訊相關解析應用文獻、規劃巨量資訊倉儲系統，中後期導入商業智慧概念(BI)、彙蒐國內外綠色產業現況與淨零政策推動之變化。工作項目執行成果簡述如下：一、辦理環境相關資訊(資料庫)彙整及巨量資訊系統開發先期作業研析國內外環境據解析數據應用、資料庫建置情形之文獻與資料蒐集研讀，作為未來數據分析及環境管理之參考，並以國際經驗反饋檢視我國管理策略並提出調整建議。本計畫優先針對開放資料、檢測機構管理相關資料或業管以外之環境相關資料，與環境相關資訊、市場資訊，針對各系統數據欄位進行盤點。未來可提供時空分析，提供後續政策參考。二、導入商業智慧概念(Business Intelligence, BI)規劃建立或應用長期環境治理指標參考國際間環境治理指標，透過數據資料庫，研提並建立環境治理指標；透過DPSIR架構，提出相關指標來輔助環境管理系統之運作。參考前述指標架構，納入BI工具的設計邏輯，應用演算法尋找隱藏在資訊中的訊息，並透過數據趨勢，檢討數據解析原則，並滾動調整。三、辦理國內（外）綠色產業之現況與因應淨零政策之變化彙蒐因應淨零政策推動之變化，本計畫分階段了解國內外綠色產業之現況，以研析其能源使用、污染排放特徵或溫室氣體排放等資料。參考國內各部會之政策方向，以金管會之永續發展路徑圖，優先針對重要展業，要求編製永續報告書，要求揭露企業在環境、社會及公司治理面上之績效，而其中鋼鐵產業更是最早被列入應加強揭露環境治理績效之產業。故本計畫以鋼鐵業為例，來說明國內外推動綠色產業之現況與後續因應作法。
中文關鍵字	巨量、倉儲、商業智慧

中文摘要

環檢所與環訓所兩大機關組改後升格為國家環境研究院。原環檢所根據不同檢(監)測工作建構各類方法、巨量數據產出，需透過資料庫的彙整，將巨量資料進行有效地盤點與分類，並透過業務訪談會議、蒐整長期環境治理指標等需求，設計巨量倉儲系統等相關應用規劃。本計畫先期建置作業包含蒐整國內相關檢(監)測資料、國內外環境巨量資訊相關解析應用文獻、規劃巨量資訊倉儲系統，中後期導入商業智慧概念(BI)、彙蒐國內外綠色產業現況與淨零政策推動之變化。工作項目執行成果簡述如下：一、辦理環境相關資訊(資料庫)彙整及巨量資訊系統開發先期作業研析國內外環境據解析數據應用、資料庫建置情形之文獻與資料蒐集研讀，作為未來數據分析及環境管理之參考，並以國際經驗反饋檢視我國管理策略並提出調整建議。本計畫優先針對開放資料、檢測機構管理相關資料或業管以外之環境相關資料，與環境相關資訊、市場資訊，針對各系統數據欄位進行盤點。未來可提供時空分析，提供後續政策參考。二、導入商業智慧概念(Business Intelligence, BI)規劃建立或應用長期環境治理指標參考國際間環境治理指標，透過數據資料庫，研提並建立環境治理指標；透過DPSIR架構，提出相關指標來輔助環境管理系統之運作。參考前述指標架構，納入BI工具的設計邏輯，應用演算法尋找隱藏在資訊中的訊息，並透過數據趨勢，檢討數據解析原則，並滾動調整。三、辦理國內（外）綠色產業之現況與因應淨零政策之變化彙蒐因應淨零政策推動之變化，本計畫分階段了解國內外綠色產業之現況，以研析其能源使用、污染排放特徵或溫室氣體排放等資料。參考國內各部會之政策方向，以金管會之永續發展路徑圖，優先針對重要展業，要求編製永續報告書，要求揭露企業在環境、社會及公司治理面上之績效，而其中鋼鐵產業更是最早被列入應加強揭露環境治理績效之產業。故本計畫以鋼鐵業為例，來說明國內外推動綠色產業之現況與後續因應作法。

中文關鍵字

巨量、倉儲、商業智慧

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	Z999.全文(公開版).pdf	19MB		2024/1/3 上午 12:00:00

摘要	The reorganization of the Environmental Inspection Agency and the Environmental Training Institute into the National Environmental Research Institute involves a comprehensive upgrade. The Environmental Inspection Agency, based on various monitoring tasks, develops various methods and generates a massive amount of data. It requires the consolidation of this extensive data through a database, effectively taking inventory and categorizing the vast information. It also involves designing applications such as massive data warehousing systems to meet the needs of business meetings, gathering long-term environmental governance indicators, among other requirements. The initial phase of this project includes collecting domestic monitoring data, analyzing global environmental big data-related literature, and planning a massive information warehousing system. The later stages involve implementing Business Intelligence (BI) concepts, collecting information on domestic and international green industries, and monitoring the changes related to net-zero policy promotion. Summary of project execution results: 1.Conducting preliminary work on environmental information (database) consolidation and massive information system development: Reviewing literature and data collection on domestic and international environmental data analysis, database construction, serving as references for future data analysis and environmental management. International experiences will be used to assess our country's management strategies and suggest adjustments. The project prioritizes environmental data beyond regulatory management, open data, and market information, inventorying various system data fields for potential spatiotemporal analysis to guide future policies. 2.Implementing Business Intelligence (BI) concepts to plan and establish long-term environmental governance indicators: Referencing international environmental governance indicators, using data databases to propose and establish these indicators. Employing the DPSIR framework to create relevant indicators that aid environmental management systems. Incorporating the design logic of BI tools based on the aforementioned indicator framework, utilizing algorithms to uncover hidden information within data, adjusting data analysis principles based on trends. 3.Gathering information on the current status of domestic (and international) green industries and their responses to net-zero policy changes: In response to changes driven by net-zero policies, this project aims to understand the current status of domestic and international green industries, analyzing data on energy consumption, pollution emissions, and greenhouse gas emissions. Referring to various domestic ministries' policy directions and the Financial Supervisory Commission's sustainable development roadmap, focusing on major industries to compile sustainable reports disclosing environmental, social, and corporate governance performance. Using the steel industry as an example, the project illustrates the current status of promoting green industries domestically and internationally and proposes subsequent response strategies.
英文關鍵字	Big Data, Data WareHouse, Business Intelligence

摘要

The reorganization of the Environmental Inspection Agency and the Environmental Training Institute into the National Environmental Research Institute involves a comprehensive upgrade. The Environmental Inspection Agency, based on various monitoring tasks, develops various methods and generates a massive amount of data. It requires the consolidation of this extensive data through a database, effectively taking inventory and categorizing the vast information. It also involves designing applications such as massive data warehousing systems to meet the needs of business meetings, gathering long-term environmental governance indicators, among other requirements. The initial phase of this project includes collecting domestic monitoring data, analyzing global environmental big data-related literature, and planning a massive information warehousing system. The later stages involve implementing Business Intelligence (BI) concepts, collecting information on domestic and international green industries, and monitoring the changes related to net-zero policy promotion. Summary of project execution results: 1.Conducting preliminary work on environmental information (database) consolidation and massive information system development: Reviewing literature and data collection on domestic and international environmental data analysis, database construction, serving as references for future data analysis and environmental management. International experiences will be used to assess our country's management strategies and suggest adjustments. The project prioritizes environmental data beyond regulatory management, open data, and market information, inventorying various system data fields for potential spatiotemporal analysis to guide future policies. 2.Implementing Business Intelligence (BI) concepts to plan and establish long-term environmental governance indicators: Referencing international environmental governance indicators, using data databases to propose and establish these indicators. Employing the DPSIR framework to create relevant indicators that aid environmental management systems. Incorporating the design logic of BI tools based on the aforementioned indicator framework, utilizing algorithms to uncover hidden information within data, adjusting data analysis principles based on trends. 3.Gathering information on the current status of domestic (and international) green industries and their responses to net-zero policy changes: In response to changes driven by net-zero policies, this project aims to understand the current status of domestic and international green industries, analyzing data on energy consumption, pollution emissions, and greenhouse gas emissions. Referring to various domestic ministries' policy directions and the Financial Supervisory Commission's sustainable development roadmap, focusing on major industries to compile sustainable reports disclosing environmental, social, and corporate governance performance. Using the steel industry as an example, the project illustrates the current status of promoting green industries domestically and internationally and proposes subsequent response strategies.

英文關鍵字

Big Data, Data WareHouse, Business Intelligence