運用物聯網於懸浮微粒檢測之研究

近年來，人類科技及工商業迅速的發展，空氣污染為全球各地最重大且嚴重的環境議題，空汙防制也已成為全民共同守護的活動，各地政府陸續推動許多空汙防制的因應措施。目前全世界中，肺癌為十大死因之首長期處於濃度高汙染環境中與PM10、PM2.5細懸浮微粒指數與肺癌及死亡率提升有著一定的相關。其中PM2.5為徑粒小於或等於2.5µm細懸浮微粒，細懸浮微粒可透過口腔直通到肺部的微小粒子對人體危害相對較大。本論文目的是依據懸浮微粒PM2.5雷射檢測設備，所架構的懸浮微粒偵測系統共分為三大部分，第一部分為攀藤G3 PMS3003雷射懸浮微粒感測器與BME280溫溼度壓力感測器感測數值，第二部分為Arduino端基於開發版NodeMCU透過ESP8266 WiFi晶片上傳至物聯網雲端平台ThingSpeak，第三部分為智慧型行動裝置接收雲端平台ThingSpeak數據分析與通訊軟體LINE APP結合警示系統通知使用者及時狀況，讓使用者可隨時了解室內外自身環境污空氣品質，以及避免活動於高空汙環境當中。

關鍵字

細懸浮微粒

並列摘要

In recent years, with the dramatic advance of the science and technology and the rapid development of the industry and commerce, the air pollution has become the most important and serious environmental issue around the world. The inhibition for the air pollution has also become the first priority and our duty for protecting and defending our earth environment. Governments around the world have also successively promoted many countermeasures for the control of the air pollution. At present, the lung cancer has become the top ten cause of the human death in the world. The long-term exposure to high concentrations of the pollution aerosols PM10 and PM2.5 has been reported to play a key role associated with the lung cancer and then result in an increase of the mortality, in which aerosols PM2.5 is referred to the fine suspended particles with a diameter of less than or equal to 2.5 μm. Furthermore, fine suspended particles can pass through the mouth and then directly to the lungs, therefore, relatively harmful to the human body. Based on the suspended particle PM2.5 laser detection equipment, the purpose of this technical report will be devoted to the detection process of the suspended particles, and then provide the information of the environmental aerosols PM2.5 via the internet of things. The suspended particle detection system is divided into three parts. The first part is with the Panteng G3 PMS3003 laser suspended particle sensor and the BME280 temperature, humidity & pressure sensor. The second part is with the Arduino terminal based on the development version of the NodeMCU for uploading the detected data through the ESP8266 WiFi chip to the Internet of Things which is the cloud platform of the ThingSpeak. The third part is with the smart mobile device receiving the data analyses from the cloud platform ThingSpeak and the communication software LINE APP which are combined with the warning system for notifying the user of the real-time environmental aerosols PM2.5. As a result, the user can keep abreast of the good air quality of the indoor and outdoor environment to avoid any activity in the high contaminated environment.