臺灣博碩士論文加值系統

近年來，空氣汙染成為備受關注的議題，尤其是最近二、三十年來大眾生活型態的改變，使人們每天約有80%的時間處於室內環境，室內空氣品質的好壞，直接影響環境舒適度與人體健康，但現有的空氣品質監測系統，只能提供大區域，而無法提供局部區域，如辨公室的空氣感測資料。
本文以校園環境為場域，以物聯網技術基礎，整合PM2.5、CO2、溫/溼度等感測器、LoRa/WiFi傳輸介面、MQTT/Node Red、Line BOT與Mongo DB等在此系統中，實現校園室內空氣品質監測系統，即時感應各教室之空氣資訊，即時顯示與回傳至雲端資料庫，使用者可藉Line軟體或網頁介面即時掌握相關資訊，除了相關感測外，後續本系統將結合回饋控制，針對場域之空氣品質，自動啟動相對之設施，以提供一個舒適/安全之學習環境。

In recent years, air pollution has become a topic of concern. In particular, changes in the lifestyle of the general public in the past 30 years, make people spend 80% of their time in the indoor environment every day. The quality of indoor air quality directly affects environmental comfort and human health. However, existing air quality monitoring systems can only provide large areas and cannot provide local areas, such as air sensing data of public rooms.
This paper uses the campus environment as the field. Integration of PM2.5, CO2, temperature and humidity sensors, LoRa/WiFi transmission interface, MQTT/Node Red, Line BOT and Mongo DB in this system. Realize campus indoor air quality monitoring system, instantly sense air information in each classroom, instant display and postback to cloud database. Users can use the Line software or web interface to instantly learn relevant information, In addition to the relevant sensing, the subsequent system will incorporate feedback control for air quality in the field. Automatically start relative facilities to provide a comfortable/safe learning environment.

摘要 i
ABSTRACT ii
圖目錄 v
表目錄 vii
1 緒論 1
1.1 研究動機 1
1.2 研究目的 1
1.3 論文架構 1
2 相關研究 2
2.1 Arduino 2
2.2 LoRa無線傳輸模組CW1276SL-915 3
2.3 LinkIt 7697 4
2.4 六合一感測模組 5
2.5 Node-RED 6
2.6 MongoDB 7
2.7 LPWAN 8
2.2 LORA WAN 10
2.3 LORAWAN DEVICE CLASSES[10] 11
2.2 MQTT PROTOCOL 13
2.3 WebSocket&HTTP1.1比較 15
2.4 WebSocket&HTTP protocol stack[12] 18
2.5 WebSocket&HTTP Polling之延遲比較[13] 19
2.6 LINE BOT聊天機器人[14] 20
3 系統架構 21
3.1 Sensor node 22
3.2 Display board 23
3.3 Gateway 24
3.4 Server 25
3.5 User Interface 27
4 實作結果 35
5 結論 37
參考文獻 38

[1] U.S. Environmental Protection Agency (2003) A standardized epa protocol for characterizing indoor air quality in large office building.

[2]Arduino nano -
https://core-electronics.com.au/nano-v3-0-board-arduino-nano-v3-0-compatible.html

[3]AcSiP Technology Corp. Files - CW1276SL-915_SPEC_ver.C

[4]LinkIt 7697 -
https://makerpro.cc/2017/06/introducing-linkit7697-development-environment/

[5]鴻瑞泰電子-六合一傳感氣模塊說明書V1.0

[6]mongoDB - JSON format - https://www.mongodb.com/json-and-bson

[7]LPWAN特性 - https://www.slideshare.net/PeterREgli/lpwan

[8]LPWAN技術比較 - 大和有話說(2018/01/28) 萬物聯網，淺談IoT低功耗廣域網路趨勢：LoRa、SIGFOX、NB-IoT

[9]Lorawan Architecture - http://jensd.be/755/network/lorawan-simply-explained


[10]LORAWAN DEVICE CLASSES - LoRa Alliance™ - A technical overview of LoRa®and LoRaWAN™

[11]MQTT protocol - 網昱多媒體(2017/03/27) - MQTT教學（一）：認識MQTT

[12]WebSocket&HTTP protocol stack - https://www.jianshu.com/p/42260a2575f8

[13]Latency comparison between the polling and WebSocket applications -
http://apress.jensimmons.com/v5/pro-html5-programming/ch7.html

[14]Line bot - Line Developer - Messaging API -
https://developers.line.me/en/docs/messaging-api/overview/

[15]M. Centenaro et al., “Long-range communications in unlicensed bands: the rising stars in the IoT and smart city scenarios,” IEEE Wireless Communications, Vol. 23, no.5, Oct. 2016.

[16]Kang et al., “Room Temperature Control and Fire Alarm/Suppression IoT Service Using MQTT on AWS,” IEEE Platform Technology and Service (PlatCon), 2017 International Conference,March. 2017.

[17] A. Zanella et al., “Internet of Things for Smart Cities,” IEEE Internet Things Journal, vol. 1, no. 1, Feb. 2014.