家用智慧烘豆機設計

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：54

、訪客IP：18.227.102.205

姓名

羅世倫(SHIH-LUN LO) 查詢紙本館藏

畢業系所

通訊工程學系在職專班

論文名稱

家用智慧烘豆機設計
(Design For Smart Home Coffee Roaster)

相關論文

★ 利用手持式手機工具優化行動網路系統於特殊型活動環境	★ 穿戴裝置動態軌跡曲線演算法設計
★ 石英諧振器之電極面設計對振盪頻率擾動之溫度相依性研究	★ 股票開盤價漲跌預測
★ 感知無線電異質網路下以不完美頻譜偵測進行資源配置之探討	★ 大數量且有限天線之多輸入多輸出系統效能分析
★ 具有元學習分類權重轉移網路生成遮罩於少樣本圖像分割技術	★ 具有注意力機制之隱式表示於影像重建三維人體模型
★ 使用對抗式圖形神經網路之物件偵測張榮	★ 基於弱監督式學習可變形模型之三維人臉重建
★ 以非監督式表徵分離學習之邊緣運算裝置低延遲樂曲中人聲轉換架構	★ 基於序列至序列模型之 FMCW雷達估計人體姿勢
★ 基於多層次注意力機制之單目相機語意場景補全技術	★ 應用於3GPP WCDMA-FDD上傳鏈路系統的遞迴最小平方波束合成犛耙式接收機
★ 調適性遠時程瑞雷衰退通道預測演算法設計與性能比較	★ 智慧型天線之複合式到達方位-時間延遲估測演算法及Geo-location應用

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

至系統瀏覽論文 (2026-7-6以後開放)

摘要(中)

在此篇論文裡我們研發設計的家用智慧烘豆機，烘豆程序從放置咖啡豆的鍋爐預
熱、咖啡豆入豆溫度、咖啡豆升溫時產生梅納反應、咖啡豆一爆、烘豆完成、咖啡豆
冷卻，全藉由手機控制，對於沒有烘豆經驗的新手而言，想要烘焙出不同風味的咖啡
豆不再困難，本論文將家用爆米花機電路改裝，Android 手機 APP 透過通訊晶片傳送
與接收資訊，Arduino 使用 Uart 與通訊晶片交握及 I2C、SPI 介面控制周邊裝置。
此家用烘豆機有六種模式;一、秤重模式:咖啡烘焙前須先量測重量，二、一鍵烘
焙模式:點選後即可烘焙，三、雲端菜單模式:可從雲端下載烘焙參數進行烘焙，四、
咖啡豆辨識模式:利用影像辨識，辨識咖啡生豆並烘焙，五、加熱曲線繪製及記憶模
式:繪製烘焙曲線及參數存檔與執行，六、手動模式:設定烘豆參數並執行。
除此之外，加熱系統使用溫度控制演算法控制溫度;偵測環境濕度並自動調整烘
焙參數，在濕度較高環境就不必擔心烘焙咖啡豆如何調整參數的問題。藉由以上系統，
使用者對於烘焙不同種類的咖啡豆，調整烘焙參數烘豆。
關鍵字:家用咖啡烘豆機、溫度控制演算法、Android APP、影像辨識。

摘要(英)

In this paper, we developed and designed a smart home coffee roaster. The roasting process includes preheating the boiler for coffee beans, the temperature of the beans entering the
pot, the Maillard reaction that occurs when the beans are heated, the beans popping, the roasting being completed, and the beans being cooled. All of these processes are controlled by a
mobile phone. For novices without roasting experience, it is no longer difficult to roast coffee
beans with different flavors. This paper modified the circuit of a home popcorn machine and
used an Android phone app to transmit and receive information through a communication
chip. The Arduino uses Uart to communicate with the communication chip and I2C and SPI
interfaces to control peripheral devices.
This home coffee roaster has six modes: 1. Weighing mode: the weight must be measured before coffee roasting. 2. One-click roasting mode: click to roast. 3. Cloud menu mode:
download roasting parameters from the cloud for roasting. 4. Coffee bean recognition mode:
use image recognition to recognize green coffee beans and roast them. 5. Heating curve drawing and memory mode: draw the roasting curve and save and execute the parameters. 6. Manual mode: set the roasting parameters and execute them.
In addition, the heating system uses a temperature control algorithm to control the temperature. It detects the environmental humidity and automatically adjusts the roasting parameters. In a high humidity environment, there is no need to worry about how to adjust the
roasting parameters for coffee beans. With the above system, users can adjust the roasting
parameters for roasting different types of coffee beans.
Keywords: home coffee roaster, temperature control algorithm, Android APP, image recognition

關鍵字(中)

★ 家用咖啡烘豆機
★ 溫度控制演算法
★ Android APP
★ 影像辨識

關鍵字(英)

★ home coffee roaster
★ temperature control algorithm
★ Android APP
★ image recognition

論文目次

目錄
摘要....................................................................................................................................i
Abstract ............................................................................................................................. ii
致謝.................................................................................................................................. iii
圖目錄............................................................................................................................... v
表目錄............................................................................................................................. vii
第一章緒論.....................................................................................................................1
1.1 咖啡烘豆機發展歷史........................................................................................1
1.2 研究背景與動機................................................................................................1
1.3 文獻回顧............................................................................................................2
1.4 論文目標............................................................................................................3
1.5 論文架構............................................................................................................3
第二章系統架構與軟、硬體介紹.................................................................................4
2.1 硬體架構............................................................................................................4
2.2 硬體介紹............................................................................................................4
2.3 系統架構 ..........................................................................................................13
第三章家用智慧烘豆機關鍵設計方法.......................................................................14
3.1 溫度控制演算法...............................................................................................14
3.2 影像辨識 ..........................................................................................................19
3.3 手機應用程式設計...........................................................................................22
第四章模式介紹與執行流程.......................................................................................23
4.1 程式執行流程...................................................................................................23
4.2 重量量測模式...................................................................................................24
4.3 一鍵烘焙模式...................................................................................................25
4.4 雲端菜單模式...................................................................................................26
4.5 咖啡豆辨識模式...............................................................................................27
4.6 繪製加熱曲線與記憶模式 ...............................................................................28
4.7 手動模式 ..........................................................................................................29
4.8Android App 操作畫面介紹 .............................................................................31
第五章實驗結果...........................................................................................................35
5.1 一鍵烘焙模式與繪製加熱曲線功能測試........................................................35
5.1.1 一鍵烘焙模式-淺烘焙 .........................................................................36
5.1.3 一鍵烘焙模式-深烘焙 .........................................................................39
5.2 影像辨識模式:.................................................................................................41
第六章結論...................................................................................................................45
參考文獻.........................................................................................................................46

參考文獻

[1] Sam Koh,Discover The History of The Coffee Roaster.2019 [Online]. Available:
https://perfectdailygrind.com/2019/09/discover-the-history-of-the-coffee-roaster/
[2] Rubasse,2020 [Online].Available: https://rubasseroasters.com/zh/blog/post/8
[3] Sandbox smart,2019 [Online].Available: https://www.sandboxsmart.com/
[4] BeanBon,2020, [Online].Available: https://beanbonroaster.com/beanbon-roaster
[5] Wake up,2020, [Online].Available: https://www.zeczec.com/projects/wake-up
[6] Nicholas Brenn, "Controllable Home Coffee Roaster from a Modified Popcorn Pop
per",Union College–Schenectady,NY,Bachelor of Science,2014.
[7] Cameron Kelly, "The Art of Coffee Roasting: Investigations into Sensor Development
for the Application of Controlling Coffee Roasting", The University of Waikato,Doctor
of Philosophy (PhD) Thesis,2018.
[8] MIT AppInventor,2022,[Online].Available: https://appinventor.mit.edu/
[9] 楊明豐，Arduino 物聯網最佳入門與應用-打造智慧家庭輕鬆學，初版，碁峰，台
北市，民國 107 年
[10] FOTEK SSR 40DA,2020,[Online].Available: https://www.fotek.com.tw/zh-tw/
[11] ZenFone Max Pro ZB602KL 32GB,2019,[Online].Available:
https://www.asus.com/tw/mobile/phones/all-series/zenfone-max-pro-zb602kl/
[12] Arduino IDE,2020,[Online].Available: https://www.arduino.cc/en/software
[13] Karmen Yoong,2022,[Online].Available:https://mtpak.coffee/2022/02/how-does-
weather-affect-coffee-roasting-process/
[14] 黃東榕, 2020,[Online].Available:https://vocus.cc/coffee/5fd30855fd89780001465cb8
[15] Personal Image Classifier,2019 [Online].Available: Personal Image Classifier
(mit.edu)
[16] 勝曼咖啡,2016,[Online].Available: https://www.srimalacoffee.com.tw/ad
min/news/front/index2.php?id=11
[17] ASIA COMMODITIES,2017,[Online].Available:http://asiacom.vn/purchasing-green-
coffee-beans-in-bulk-should-pay-attention-to-what/
[18] S. Koskie,Zoran Gajic," Optimal SIR-based power control in 3G wireless CDMA net
works" , IEEE February 2003.

指導教授

陳永芳(Yung-Fang Chen)

審核日期

2023-7-13

推文