112

13,930 千元

科技發展-淨零排放科技

2023/02/23

2023/11/30

倪雅惠

循環署再利用推動組

鄧丕信

環資國際有限公司

科技計畫

數據資料科學，申報資料分析，申報流向分析

Data science, Application data analysis, Declaration flow analysis

王偉仲

02-23142007#203

web1798@eri.com.tw

依工作屬性遂區分為包含建置數據資料科學應用分析工具、分析廢棄物與產業循環量能、建置具資源循環流向數據分析平台、研提開放資料與提供學界分析運用等四項。 本計畫優先對目前現有事業廢棄物相關系統做盤點，並針對各個系統中有事業廢棄物申報相關的資料作研究，利用統計方法分析與統整，完善整體資料的內容。透過資料清洗與系統介接，建置知識資料庫和模式資料庫，提供數據資料科學應用分析，將過往的經驗納入系統開發中，再針對相關新聞或案例，規劃智慧勾稽模組，進行各種樣態的分析。並將這些結果再進行數據分析，找出離群值，做更進一步的分析。 以事廢系統資料為基礎，建立趨勢分析與預測工具，一方面協助環境部深入瞭解廢棄物的產生和處理情況，並掌握整體廢棄物資源循環量能；另一方面，本計畫進一步發展進階應用主題，提供不同面向、尺度的資料分析與速查。 為使資源循環署可掌握整體資源化物質流向，以及分析更多資源物質循環之可能性，並透過資料視覺化驅動展示其分析結果，將繁雜的數據資料以圖像化方式呈現，亦能更快速理解其大量資訊與資料，因此本計畫將建置具資源循環流向數據分析平台，將事業廢棄物相關申報數據整合並加以分析，同時導入商業智慧軟體或運用資料分析軟體，將資料轉化為更有利用價值之資訊，強化資源循環之推動。

數據資料科學，申報資料分析，申報流向分析

@結案定稿本all.pdf

21MB

期末報告定稿本

2024/1/31 上午 12:00:00

According to the nature of the work, the project is divided into four categories as: building data scientific application analysis tools, analyzing waste and industrial circulation capacity, building a resource circulaiton flow data analysis platform, developing open data and providing for academic analysis and application. This project gives priority to survey current industrial waste-related systems, and to research the data related to industrial waste reporting in each system, using statistical methods to analyze and integrate, and to improve the content of the overall data. Through data cleaning and system interface, the project has built a knowledge database and model database, to provide scientific application analysis of data, incorporating past experience into system development, and planning smart audit modules for relevant news or cases to carry out various types of analysis. The project then performed data analysis on these results to find outliers and conduct further analysis. Based on the waste system data, a trend analysis and forecasting tool was established to assist the Ministry of Environmental Protection to gain an in-depth understanding of the generation and processing of waste and to grasp the overall waste resource recycling capacity; on the other hand, the project further developed the application to provide different aspects and scales for data analysis and quick searching. In order to facilitate the Resource Circulation Administration to predominate the overall flow of resource materials, and to analyze the possibility for more resource materials circulation, to display the analysis results through data visualization, that the complex data can be presented in a graphical manner and can be more accurately displayed, and quickly understood from the large amount of information and data, the project will build a resource circulation data analysis platform to integrate and analyze the reported data related to industrial waste. At the same time, business intelligence software or data analysis software will be introduced and applied to convert the data into more valuable information that can be used to strengthen the promotion of resource circulation.

Data science, Application data analysis, Declaration flow analysis