臺灣博碩士論文加值系統

本論文將利用集中式物聯網架構來設計一個室內火災預警系統，以紅外線溫度感測器量測目標物的溫度。並在量測目標物超過預先設定的警戒閾值時，由事先安裝於手機通訊軟體的機器人，即刻對使用者通知火災預警。
本系統可分成感測端、伺服端以及應用端三個部分。感測端是由本論文所設計的感測平台所組成，使用非接觸式的紅外線溫度感測器MLX90614_BCH進行量測，並設計由兩顆馬達所組成的感測平台，來改變溫度感測器的量測方向，以提高室內空間量測範圍。量測到的溫度數值經由樹莓派進行讀取與分析，再將資料透過網際網路傳於伺服端。伺服端是由資料庫型伺服器所組成，主要執行應用端指令與儲存感測端的數據。應用端主要是使用手機上所安裝的初始化APP與Telegram通訊軟體所組成。初始化APP則是使用Android Studio撰寫可延伸標記式語言(Extensible Markup Language, XML)和JavaScript兩種語言進行程式設計，主要是透過藍芽連接的方式對感測平台進行參數設定。Telegram通訊軟體是讓使用者對預警設備進行註冊，如果設備感測到火災，會對所有已註冊此設備的使用者發出通知。
將感測平台架設於室內空間，並藉由初始化APP完成設定後，每隔一段固定時間就會進行室內溫度掃描，再將資料傳送至伺服端進行數據儲存。當室內溫度偵測到異常時，感測平台會發出警報，同時會使用通訊軟體機器人，發出警告訊息並傳送室內影像給使用者。預先提醒遠端監控環境火警可能發生，以爭取提早逃生的時間。

This paper will use a centralized IoT architecture to design an indoor fire early warning system and use an infrared temperature sensor to measure the temperature and wavelength of the target. And when the measured target exceeds the pre-set warning temperature threshold, the robot installed in the mobile phone communication software will immediately notify the user of the fire warning.
The system can be divided into three parts: sensing end, servo end, and application end. The sensing end is composed of the sensing platform designed in this paper. The non-contact infrared temperature sensor MLX90614_BCH is used for measurement, and a rotating platform composed of two-stepping motors is designed to change the temperature sensor. To increase the measuring range of indoor temperature. The measured temperature value is read and analyzed by the Raspberry Pi, and the data is transmitted to the server through the Internet. The server is composed of a database-type server, which mainly executes application-side commands and stores sensor-side data. The application terminal is mainly composed of the initialization APP installed on the mobile phone and the Telegram communication software. To initialize the APP, use Android Studio to write Extensible Markup Language (XML) and JavaScript for programming. The main method is to set the parameters of the sensing platform through the Bluetooth connection. Telegram communication software allows users to register early warning equipment. If the registered equipment detects a fire, it will notify all registered users.
Set up the sensing platform in the indoor space, and complete the settings by initializing the APP, and then scan the indoor temperature at regular intervals, and then send the data to the server for data storage. When an abnormal indoor temperature is detected, the sensing platform will emit a sound reminder, and at the same time, a communication software robot will be used to issue a warning message and send indoor images to the user. Pre-remind the possible occurrence of fire alarms in the remote monitoring environment, to fight for early escape time.

摘要......i
Abstract......ii
誌謝......iv
目錄......v
表目錄......vii
圖目錄......viii
第一章 緒論......1
1.1 研究動機與目的......1
1.2 研究方法......3
1.3 論文架構......4
第二章 相關研究......5
2.1 火災偵測方式......5
2.1.1 煙霧感測原理......6
2.1.2 氣體感測原理......6
2.1.3 溫度感測原理......7
2.2 物聯網架構......9
2.3 通訊方法......11
2.3.1 TCP/IP......11
2.3.2 藍芽RFCOMM......12
2.3.3 Socket......13
第三章 系統架構與設計......15
3.1 系統架構......15
3.2 感測端設計......16
3.3 伺服端設計......26
3.4 應用端設計......30
3.5 系統流程......33
第四章 系統實作與成果展示......34
4.1 系統操作說明......34
4.2 即時手機預警......37
第五章 結論與未來展望......42
參考文獻......43
Extended Abstract......45

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