110

10,400 千元

數位建設-建構開放政府及智慧城鄉服務

2021/03/22

2022/03/10

蔡佩芸

監資處

王士榮

卡米爾股份有限公司

環境資訊系統

空氣網(aiR網)、地理資訊系統、物聯網、大數據、人工智慧、AQI預測

Geographic Information System, Internet of Things, Big Data, Artificial Intelligence, Air Quality Forecast

賴佳敏

03-5727778#

chiamin76@cameo.tw

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。 計畫中包含發展全新環境感測數據污染溯源方法、整合署內署外異質資料、建置自動化環境分析報告、強化演算法偵測感測器時空異常現象、精進AQI未來12小時預測AI演算模型以及強化移動式感測裝置數據展示模組等，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。

空氣網(aiR網)、地理資訊系統、物聯網、大數據、人工智慧、AQI預測

EPA-110A147_結案報告公開版.pdf

27MB

公開版

2022/5/1 上午 12:00:00

This project is built based on Web-GIS, which provides Environmental Protection Administration to integrate environmental IoT sensors management and support decision making, and to assist environmental inspection for local environmental protection bureaus where IoT sensors are distributed. And it’s also open to the public for checking PM2.5 real-time data. Overall, it meets different requirements for users from different categories in the sensor data of management supervision and also in public service and information for supportive decision systems. The project includes the development of new pollution traceability method for environmental sensing data, integration of heterogeneous data, building automated environmental analysis reports, enhanced algorithms to detect spatio-temporal anomalies in sensors, and advancement of the AQI prediction AI algorithm model for the next 12 hours, enhanced data display model for mobile sensing devices, etc., using cloud computing technology to continuously improve system performance, and provide stable and complete data quality for inquiries and the best value-added service. In addition, in cooperation with the Environmental Protection Department's Environmental Sensing Data Storage Center, in response to relevant basic software and hardware facilities and emerging service trends, the project leads in the software tools or technologies for smart environmental decision-making applications. Through machine learning, human-computer interaction, data visualization, big data computing and other technologies to build more intelligent applications, assist decision-making analysis applications, strengthen the government's digital governance, intelligent inspection capabilities, and expand the public services related to environmental sensing analysis data. Moreover, to make good use of the power of the public to improve the quality of environmental governance and public services. It is hoped that through the diversified and wide-ranging work items of this project, it can provide an innovative and integrated platform and service of environmental sensing management and environmental governance decision support to the Environmental Protection Agency, and move towards the next stage of smart environmental governance.

Geographic Information System, Internet of Things, Big Data, Artificial Intelligence, Air Quality Forecast