學習中得知電力與通訊網路的距離會影響監測站感測及資料傳輸的速度，本論文的終端感測器係透過 LoRa 低功耗網路傳輸資料，提供我們快速建置監測站，讓我們容易收集詳細環境感測的資料，LoRa 低功耗網路適合在空曠地區與多建築物的區域中使用且蒐集資料傳輸穩定可靠。 實驗規劃於校園設置監測位置，運用 PM2.5 感測器、溫度與濕度感測器，每分鐘回傳資料到Arduino IDE程式序列監控視窗的顯示方式，可以讓我們即時監控校園環境內的監測站與周邊地區的監測站的空氣品質的狀況。 我們同時也收集行政院環境保護署的開放資料，提供環境生活圈空氣品質資料完整性，歷史資料將會與我們所建置的物聯網監測系統之資訊進行比較分析與探討，提供給使用者參考運用。 我們以校園環境為主,規劃 LoRa 物聯網性能的實驗與評估，這一套 LoRa低功耗網路與即時監測系統可容易套用到其它相關環境數據收集的系統與即時的分析與評估。 ;During the study, we learned that the distance between the electricity and the communication network will affect the speed of monitoring station sensing and data transmission. The terminal sensor in this paper transmits data through the LoRa low-power network, which provides us with the rapid construction of monitoring stations. It is easy to collect detailed environmental sensing data. The LoRa low-power network is suitable for use in open areas and areas with multiple buildings, and the data collection and transmission are stable and reliable. The experiment is planned to set up a monitoring location in the campus, using PM2.5 sensors, temperature and humidity sensors, and returning data to the Arduino IDE program sequence monitoring window every minute. The display method allows us to monitor the monitoring stations in the campus environment in real time. The status of air quality with monitoring stations in the surrounding area. We also collect open data from the Environmental Protection Agency of the Executive Yuan to provide the completeness of the air quality data in the environmental life circle. The historical data will be compared and analyzed with the information of the IoT monitoring system we have built for users′ reference use. We focus on the campus environment and plan the experiments and evaluations of LoRa IoT performance. This set of LoRa low-power network and real-time monitoring system can be easily applied to other related environmental data collection systems and real-time analysis and evaluation.
