110年視覺化智慧勾稽高風險污染事業環境督察工作計畫
| 中文摘要 | 本計畫透過異質資料整合及建置自動化數據分析模組，並且比對異質資料：水污染、廢棄物、空氣污染資料，並自動串接整合與分析後的資料進行視覺化智慧分析交叉比對，產出高風險污染對象勾稽報告，將成果以視覺化方式呈現，以強化勾稽結果直覺性瀏覽，縮短稽查人員資料調閱時間、提升勾稽比對效率。 本計畫整體成效如以下所述： 1. 彙整資料包含環保署環保稽查處分管制系統、環境保護許可管理資訊系統、事業及污水下水道系統廢（污）水管理系統、事業廢棄物申報及管理資訊系統、固定污染源管理資訊系統、公害污染陳情系統、毒性化學物質許可管理系統，作整合性資料分析，整合清洗逾300萬筆跨系統異質申報資料，產出可運用分析之標準化資料。 2. 建構水、空氣、廢棄物資料及潛勢地區污染風險評估機制，視覺化智慧分析交叉比對，產出十五家高風險污染對象勾稽報告。 3. 辦理視覺化軟體分析課程，以體驗設計、數據分析、視覺化工具技巧，精進督察人員數據研析調查能力，增進環保犯罪案查緝效率。 | ||
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| 中文關鍵字 | 智慧勾稽、視覺化資料分析、廢棄物清運GPS軌跡分析 | ||
基本資訊
| 專案計畫編號 | 經費年度 | 110 | 計畫經費 | 3738.914 千元 | |
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| 專案開始日期 | 2021/03/16 | 專案結束日期 | 2021/11/30 | 專案主持人 | 楊雅晴 |
| 主辦單位 | 北區環境督察大隊 | 承辦人 | 郭庭赫 | 執行單位 | 卡米爾股份有限公司 |
成果下載
| 類型 | 檔名 | 檔案大小 | 說明 |
|---|---|---|---|
| 期末報告 | 110年視覺化智慧勾稽高風險污染事業環境督察工作計畫_期末報告.pdf | 39MB |
The 2021 Environmental Audit Project for High-Risk Pollution Industries Using Visual and Artificial Intelligence Analytics
| 英文摘要 | This project generated audit reports on high-risk industries by integrating heterogeneous data and building automated data analysis modules; comparing the heterogeneous data of water, air, and waste; and automatically connecting the integrated and analyzed data for cross-comparison using visual and artificial intelligence analytics. Visual reporting was delivered to strengthen intuitive browsing for audit results, to shorten the time for auditors to review data, and to improve the efficiency of audit comparisons. The overall effectiveness of this project as indicated below: 1. Data was integrated and analyzed from Environmental Protection Administration’s Environmental Enforcement Management System (EEMS), Environmental Management System (EMS), Water Pollution Source Control Information Management System, Industrial Waste Report and Management System, Stationary Pollution Source Management Information Management, Public Nuisance Pollution Reporting System, Toxic Chemical Substances Registration and Declaration System. Data integration and data cleaning were completed on more than 3 million cross-system heterogeneous data records, which generated standardized data available for analysis. 2. A pollution risk assessment mechanism was established based on data of water, air, waste and potential areas. Through cross-comparison of the data using visual and artificial intelligence analytics, audit reports of 15 high-risk pollution industries were created. 3. Courses for visual analytics software that feature experience design, data analysis, and techniques of using visual analytics tools were offered to enhance inspectors’ data analysis and investigation capabilities, and improve the efficiency of investigating environmental crime. | ||
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| 英文關鍵字 | Audit Using Artificial Intelligence, Visual Analytics, GPS Trajectory Analysis of Disposing and Transporting Waste | ||