111-112年環境感測數據分析及展示服務整合計畫
| 中文摘要 | 本計畫以Web-GIS平台建置，提供環保署整合性環境感測管理及決策支援，也 提供感測器建置相關縣市之環保稽查功能，以及一般民眾全臺灣PM2.5即時數據查詢 需求，分眾提供感測資訊監控與管理、公眾應用服務與查詢及決策支援與分析所需 資訊服務及功能。 計畫中包含持續優化空污感測器告警事件演算法與污染潛勢區域等污染溯源分 析功能、整合異質資料、持續優化空氣網資料分析自動化功能模組、精進AQI未來1 2小時預測AI演算模型、移動感測網路(MoT)展示平台介面優化及分析功能建置，以 及水科技物聯網(WIoT)平台介面優化及分析功能強化與建置等，利用雲端運算技 術，不斷精進系統效能，提供穩定完整的資料品質供查詢及各項加值服務。此外， 配合環保署環境感測數據儲存中心，因應相關基礎軟硬體設施與新興服務趨勢，導 入智慧環境決策應用所需軟體工具或技術。 透過機器學習、人機互動、資料視覺化、大數據運算等技術建立更多智慧化應用，輔助決策分析應用，強化政府數位治理、智慧稽查之能力，並擴大環境感測分析數據相關公開服務，並善用民眾群眾力量，提升環境治理及公眾服務品質。期許能透過本計畫多元廣泛工作項目提供環保署一創新整合式環境感測管理及環境治理決策支援平台與服務，邁向智慧環境治理的下一階段。 | ||
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| 中文關鍵字 | 空氣網(aiR網)、地理資訊系統、物聯網、大數據、人工智慧、AQI預測 | ||
基本資訊
| 專案計畫編號 | 經費年度 | 111 | 計畫經費 | 11120 千元 | |
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| 專案開始日期 | 2022/04/14 | 專案結束日期 | 2023/03/10 | 專案主持人 | 劉姿嘉 |
| 主辦單位 | 監資處 | 承辦人 | 王士榮 | 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 | 10_EPA_111A165_結案報告書(公開).pdf | 67MB |
Environmental IoT Data Analysis Application and Services
| 英文摘要 | This project aims to establish a Web-GIS platform that provides integrated environmental sensing management and decision support for the Environmental Protection Administration (EPA). The platform also offers environmental inspection functions for counties and cities that deploy sensors, as well as real-time PM2.5 data query services for the general public across Taiwan. The platform provides services and functions such as sensor information monitoring and management, public application services and queries, and information services and functions required for decision support and analysis. The project includes continuous optimization of air pollution sensor alert event algorithms and pollution source analysis functions for pollution-prone areas, integration of heterogeneous data, continuous optimization of air network data analysis automation module, improved AI models for future 12-hour AQI predictions, optimization of mobile sensing network (MoT) display platform interface and analysis function development, and enhancement of water technology Internet of Things (WIOT) platform interface and analysis function development. Utilizing cloud computing technology, the system continuously improves its performance and provides stable and complete data quality for queries and value-added services. In addition, in coordination with the EPA's environmental sensing data storage center, software tools or technologies required for smart environmental decision-making applications are introduced to keep up with related infrastructure and emerging service trends. Through machine learning, human-computer interaction, data visualization, big data computing, and other technologies, more intelligent applications are developed to assist decision analysis applications, strengthen government digital governance and smart inspection capabilities, expand environmental sensing analysis data-related public services, and make good use of the power of the public to enhance environmental governance and public service quality. This project hopes to provide the EPA with an innovative integrated environmental sensing management and environmental governance decision support platform and services through a wide range of work items, paving the way for the next stage of smart environmental governance. | ||
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| 英文關鍵字 | Geographic Information System, Internet of Things, Big Data, Artificial Intelligence, Air Quality Forecast | ||