環境資源報告成果查詢系統

利用物聯網技術整合環境污染監測之先期研究計畫

中文摘要 本研究之目的期於能夠善用中部地區空氣品質監測站之濃度與氣象監測資料,從中找出空氣品質受氣象因素之影響關係,如此得以探討污染物濃度與大氣傳輸作用之相互關聯性。其中,運用監測站之氣象數據,繪製各種時段或季節之測站所在位置的風花圖,並與污染濃度變化圖結合說明,進一步探討事件期間,區域內污染物之傳輸與分布情形。同時在整合各項系統之資料介接後,依其各數據之特性再針對本市人口、公害陳情案件分布等進行交叉比對,以探討民眾訴求,充分瞭解公害陳情案件發生之時、空特性,以及空氣污染傳輸與主要污染源所在位置之之相互關聯性。 另外,藉由探討與分析市場上各感測裝置,例如:感測裝置原理、偵測範圍、干擾因素、電力需求、通訊傳輸方式、操作使用及應用模式等規格功能及特性;綜合評估未來物聯網之監測系統可能功能及規格。同時進行大數據(Big Data)實例分析:提供實例分析結果與報告,進行資料探勘分析。上述結果進一步用以提供未來環境監測研究方向以及其他資料應用,並包含提供與本案研究相關之國內外研究分析或成功案例分析。做到建構空間資訊以有效管理,並做為改善策略擬定與調適措施推動的依據,同時藉由物聯網技術,提供民眾有興趣之即時監測資訊,達成有效環境管理與保護之目的。
中文關鍵字 物聯網、空間分析、大數據

基本資訊

專案計畫編號 經費年度 107 計畫經費 850 千元
專案開始日期 2017/02/24 專案結束日期 2017/12/10 專案主持人 梁正中
主辦單位 臺中市政府環境保護局 承辦人 洪偉昭 執行單位 逢甲大學

成果下載

類型 檔名 檔案大小 說明
期末報告 利用物聯網技術整合環境污染監測之先期研究計畫-成果報告書.pdf 10MB

Advanced Research Project on Integrating Environmental Pollution Monitoring with IOT Technology

英文摘要 The purpose of this research is to find out the relationship between the air quality and meteorological factors through the concentration and meteorological monitoring data of air quality monitoring stations in Central Taiwan so as to explore the correlation between concentration of contaminant and transmission effect of atmosphere. Also, drawing Wind Rose Chart of the location of monitoring stations for various periods and seasons, explaining the tendency chart of concentration of pollution, and explore the transmission and distribution status of contaminant. Furthermore, after integrating the data from each system, and comparing across local demographics and public nuisance petitions according to the features of different data. Therefore, we can explore people’s demands and fully understand the characteristics when public nuisance petitions occur, and the correlation between the transmissions of air pollution and location of main contaminants. In addition, evaluating the function and specification for the monitoring system of future IOT by exploring and analyzing different features of sensing devices, such as the principle of sensing device, detection range, interference factors, electricity consumption, transmission method, and operation and application mode. Also, providing results and reports of Big Data case study, and conducting data mining. These results could apply in future environment monitoring and other applications, and provide analysis of domestic and international research or successful cases. We expect to construct spatial information for effective management and improve strategy formulation and adjustment measures. With IOT technology, we could provide real-time monitoring information which the public is interested in for environment management and protection.
英文關鍵字 IOT, Spatial Analysis, Big Data