摘要
由於具低功率、廣域網路的無線傳輸功能之空氣品質（AQI）感測器性價比提高，因此小區域或校園範疇的空氣品質監控系統逐漸受到重視。此類AQI的監控資料提供比都市區域級的監控資料更為細緻的資訊，也能提供更精確的AQI傳播擴散模型研究。本研究以元智大學校園中的七館教學大樓為基礎，使用具LoRa傳輸功能的PM_(2.5)、CO_2、CO三種感測器長期監控該建物室內外環境空氣品質，並且開發感測器的安裝設定APP，使新安裝的感測器於安裝完畢後，自動將之後的感測資料加入資料庫，並同時跟新顯示介面的資料。查詢與顯示介面採用即時通訊軟體Line的聊天機器人（Line BOT），讓使用者只要加入Line機器人，即可經由點選聊天室選單按鍵，隨時取得最新的AQI監測資料。所開發的系統以實際運作超過半年，除提供即時AQI資料查詢外，也能提供歷史資料統計，對於空氣品質觀測提供相當程度的方便性。
並列摘要
The air quality index (AQI) monitoring of campus size area becomes much more popular and cheaper thank to the emerging of low power wide-area network (LPWAN) technique including the LoRa and NB-IoT. This AQI information is more precisely related to the health status of the people who live in the area most of the time. In this paper, a convenient AQI query interface is built by using Line Bot which is the most popular instant messaging App in Taiwan. One LoRa base station is installed on the top floor of No. 7 building at Yuan Ze university. The whole campus is basically covered by the station. In the front-end, the LoRa-based AQI sensors of PM_(2.5), CO_2, and CO are deployed in several locations of this building. The sensor data are collected and stored in a database automatically by a node.js program. User send the query from a Line Bot and the most update data are retrieved from the database. In addition, an Android sensor setup App is developed to accomplish the automation of the sensor deployment and data updating on the Line Bot. The developed monitoring system is established and running more than eight months and provides much more convenient accessibility for people in campus.