環保專案成果報告查詢系統

專案計畫編號
經費年度	108
計畫經費	9,450 千元
預算科目	環境監測資訊-規劃設計環境保護資訊系統
專案開始日期	2019/02/01
專案結束日期	2020/09/30
專案主持人	齊世華
主辦單位	監資處
承辦人	郭偉齡
執行單位	精誠科技整合股份有限公司
專案分類	環境資訊系統
中文關鍵字	原始數據蒐整、視覺化圖示、資料品質檢核
英文關鍵字	Collection of raw data、Visual charts, Data quality check
協同主持人	陳彥吉
共同主持人
計畫聯絡人	黃筱琦
計畫聯絡電話	02-87986668#5255
計畫聯絡信箱	jocelynhuang@xsolutions.com.tw

中文摘要	為確保環保署及地方環保局各業務單位原始數據資料皆能妥善完整的被保存與應用，於108年建置「原始數據共享倉儲（RDSW）」，遵循前期專案計畫資料蒐集標準作業，滾動式優化原始數據分類、定義及範本，持續推廣與輔導各單位上傳數據資料，提升整體蒐整完整性及確保資料保存持續性。爰此，為推廣「原始數據共享倉儲（RDSW）」，計畫期間橫跨北、中、南區辦理多場教育訓練，透過說明及實機操作，提升各單位蒐整數據資料流程E化；除蒐整各專案原始數據外，本期針對數據資料精進多樣化圖表，如單測項或多測項趨勢圖、成分比例疊圖等，使用者能依照自身需求下載，提供一目了然的視覺化圖示服務。此外，RDSW系統首度創新河川水質流域功能，運用GIS地圖整合時間空間展示，讓使用者透過功能有效掌握河川流域上各測項污染分布，同時強化資料品質檢核機制，增加座標地理精確度檢核，確保數據合理性，以期達到數據收好、收滿並用好、用滿之理念。
中文關鍵字	原始數據蒐整、視覺化圖示、資料品質檢核

中文摘要

為確保環保署及地方環保局各業務單位原始數據資料皆能妥善完整的被保存與應用，於108年建置「原始數據共享倉儲（RDSW）」，遵循前期專案計畫資料蒐集標準作業，滾動式優化原始數據分類、定義及範本，持續推廣與輔導各單位上傳數據資料，提升整體蒐整完整性及確保資料保存持續性。爰此，為推廣「原始數據共享倉儲（RDSW）」，計畫期間橫跨北、中、南區辦理多場教育訓練，透過說明及實機操作，提升各單位蒐整數據資料流程E化；除蒐整各專案原始數據外，本期針對數據資料精進多樣化圖表，如單測項或多測項趨勢圖、成分比例疊圖等，使用者能依照自身需求下載，提供一目了然的視覺化圖示服務。此外，RDSW系統首度創新河川水質流域功能，運用GIS地圖整合時間空間展示，讓使用者透過功能有效掌握河川流域上各測項污染分布，同時強化資料品質檢核機制，增加座標地理精確度檢核，確保數據合理性，以期達到數據收好、收滿並用好、用滿之理念。

中文關鍵字

原始數據蒐整、視覺化圖示、資料品質檢核

類型	檔名	檔案大小	說明	最新版公開日期
期末報告	「108-109年原始數據共享倉儲系統功能擴充與推廣計畫」委辦案_結案報告(公開版).pdf	15MB		2020/11/1 上午 12:00:00

摘要	To ensure that the project raw data collected from every business unit of the EPA and EPB, established the "Raw Data Shared Warehouse (RDSW)" in 108. Follow the standard operating procedure of collecting data from the preliminary project plan, rolling optimization of raw data classification, definition and templates, and continuous promotion and guidance of various units to upload data materials. Improve overall collect integrity and make sure the continuity of data preservation. In order to promote the RDSW, a number of educational training sessions conducted across the North, Central and South districts during the project period. Through instructions and real machine operation, it is expected to improve the e-commerce process of data collection in all units. In addition to collecting the raw data of each project, this issue refines diversified charts for data, such as temporal trend and visualized plots for single and multiple components of air and water samples, component ratio overlays, etc., so that users can download according to their own needs, and provide a clear visual service. Moreover, the RDSW system is the first to innovate river water quality basin functions, using GIS maps to integrate time and space display, allow users to effectively grasp the pollution distribution of various measurement items in the river basin through functions. It also strengthens the data quality check mechanism and increases the coordinate geographic accuracy check to ensure the rationality of the data, expect data collection is complete and good quality, so that the data recombined to generate value in the future.
英文關鍵字	Collection of raw data、Visual charts, Data quality check

摘要

To ensure that the project raw data collected from every business unit of the EPA and EPB, established the "Raw Data Shared Warehouse (RDSW)" in 108. Follow the standard operating procedure of collecting data from the preliminary project plan, rolling optimization of raw data classification, definition and templates, and continuous promotion and guidance of various units to upload data materials. Improve overall collect integrity and make sure the continuity of data preservation. In order to promote the RDSW, a number of educational training sessions conducted across the North, Central and South districts during the project period. Through instructions and real machine operation, it is expected to improve the e-commerce process of data collection in all units. In addition to collecting the raw data of each project, this issue refines diversified charts for data, such as temporal trend and visualized plots for single and multiple components of air and water samples, component ratio overlays, etc., so that users can download according to their own needs, and provide a clear visual service. Moreover, the RDSW system is the first to innovate river water quality basin functions, using GIS maps to integrate time and space display, allow users to effectively grasp the pollution distribution of various measurement items in the river basin through functions. It also strengthens the data quality check mechanism and increases the coordinate geographic accuracy check to ensure the rationality of the data, expect data collection is complete and good quality, so that the data recombined to generate value in the future.

英文關鍵字

Collection of raw data、Visual charts, Data quality check