目前市售家用的直立式電風扇主要功能為定速擺頭吹風、風量模式分成大、中、小三段式，但每種模式皆為固定的風量，大眾需求通常為希望風扇以吹人為主，因此電風扇若能在有人員的位置時，擺頭速度變慢、輸出大風量；在沒有人員的位置時，擺頭速度變快、輸出小風量，使電風扇的吹風效益達到最大的話，將能使電風扇達到更佳節能且符合大眾需求的效果。
本論文多目標人員自動追蹤控制系統在智慧風扇之設計研究，係在習用市售風扇之外觀及功能基礎下，變更風扇擺頭齒輪定速擺動結構，變換成可控速馬達轉動之底盤；而在底盤上方裝置可控制轉速及輸出風量之主馬達，並搭配紅外線測溫及人臉辨識之偵測技術，來控制輸出風量之大小。
本論文系統以ATmega328為主要控制核心，搭配周邊硬體：微控制器、紅外線溫度感測器、兩種微控制器間通訊電路、驅動控制電路、鏡頭等，並藉由微控制器監控視窗可知，可以觀察在四種情況下的人臉辨識及溫度感測之結果。
根據功能測試結果，在有效範圍內，紅外溫度感測和人臉辨識在偵測的結果並無誤判錯誤，確實能根據四種情況進行底盤和風扇之風量的調速，分別進行紅外線測溫系統及人臉辨識系統準確度測試來推估本系統準確度。此外；依照本研究之功能設定，提出風扇之風量節能效益新的評估公式，可有效評估及驗證智慧風扇的節能效益。

There are two main functions of the current commercial vertical electric fans for household use. The first is a fixed-speed swing head in constant speed. And the second is to switch the fan air delivery mode. There are three modes of fan air delivery mode according to human need, thus high speed, medium speed and low speed, but each mode only maintains the same fan air delivery due to constant speed. Generally, the electric fan is mainly blowing air flow to people. If the electric fan can supply different air flow by detecting people position, the electric fan will slow down the head swing speed and meanwhile increase the fan air delivery during passing people area, so that the fan can raise the air flow effectiveness. The electric fan will achieve better energy saving and meet the needs of the public.
In this thesis, the design of the intelligent fan with multiple personnel automatic tracking control system is based on the appearance and function of the conventional commercially available fan. The fixed-speed swing structure of the fan's swing head gear is replaced by auto-rotating chassis that rotated by a controllable speed motor. The main motor that can control the speed and the output of fan air delivery is installed on the top of auto-rotating chassis, and it is equipped with infrared temperature measurement and face recognition detection technology to control the output of the fan air delivery.
According to the results of the function test, it can indeed adjust the speed of auto-rotating chassis and the output of fan air delivery according to the four conditions to meet the expected function settings of this research. According to the accuracy test of the infrared temperature measurement system and the face recognition system respectively, we can estimate the accuracy of the system. Meanwhile, a novel energy efficiency evaluation model for air delivery of electric fan has been proposed based on real effective air delivery to human body in a head swing cycle period. Numerical data verified the new energy efficiency evaluation model is effective and valuable for distinguishing smart electric fan.

[1]Technavio, Electric Fan Market by Product and Geography - Forecast and Analysis 2020-2024, 2019.
[2]https://my-best.tw/16863，電風扇-空氣循環扇。
[3]https://www.bsmi.gov.tw/，金屬工業研究發展中心，台灣家電市場現況剖析，2017年11月。
[4]https://www.books.com.tw/，14吋桌立扇。
[5]https://24h.pchome.com.tw/，箱扇。
[6]https://mamilove.com.tw/，正負零±0 -桌扇。
[7]https://www.energylabel.org.tw/，電扇節能標章能源效率基準與標示方法。
[8]https://members.wto.org/crnattachments/2021/TBT/CHN/21_2512_00_x.pdf，電風扇能效限定值及能效等级(GB 12021.9-2008)。
[9]電扇節能標章專家諮詢會報告，工研院綠能所，108年8月。
[10]https://caesarcomputer.com/，系統風扇。
[11]https://www.searchome.net/，電風扇。
[12]https://www.sphs.hc.edu.tw/，單相感應電動機。
[13]http://www.fulltechtw.com/，AC風扇和DC風扇的區別。
[14]https://www.nidec.com/，無刷馬達。
[15]鄭義威，無感測器三相永磁同步電動機驅控系統於風機濾網積塵監測之應用研究，國立臺灣科技大學電機工程所碩士論文，民國109年7月。
[16]黃勁嘉，國立臺灣科技大學電機工程所碩士論文，民國107年1月。
[17]鄭竹軒，三相永磁同步波浪發電機開發與研製，國立臺灣科技大學電機工程所碩士論文，民國109年7月。
[18]Woongkul Lee, Ju Hyung Kim, Wooyoung Choi, Bulent Sarlioglu, “Torque ripple minimization control technique of high-speed single-phase brushless DC motor for electric turbocharger,” IEEE Transactions on Vehicular Technology, vol.67, Issue 11, pp. 10357-10365, 2018.
[19]N. Tadrist, H. Zeroug, “Development of brushless DC motor drive system for teaching purposes using various PWM control techniques for speed control,” IEEE 15th Workshop on Control and Modeling for Power Electronics, 2014.
[20]Livinti Petru, Ghandour Mazen, “PWM control of a DC motor used to drive a conveyor belt,” Procedia Engineering, vol.100, pp. 299-304, 2015.
[21]A. Bellini, C. Concari, G. Franceschini and A. Toscani, “Mixed-mode PWM for high-performance stepping motors,” in IEEE Transactions on Industrial Electronics, vol. 54, no. 6, pp. 3167-3177, Dec. 2007.
[22]Paul C. Krause, Oleg Wasynczuk, Scott D. Sudhoff, “Analysis of electric machinery and drive systems,” Procedia Engineering, 2002.
[23]Lin Hai, Kwon Byung-il, Oleg Wasynczuk, Scott D. Sudhoff, “New PWM technique for two-phase brushless DC motor drives,” Journal of Electrical Engineering and Technology, vol. 8, Issue 5, pp. 1107-1115, 2013.
[24]坂本正文，步進馬達使用法，2005。
[25]Mohammadreza Hojati, Amir Baktash, “Design and fabrication of a new hybrid stepper motor with significant improvements in torque density,” Engineering Science and Technology, an International Journal, vol.24, Issue 5, pp. 1116-1122, 2021.
[26]https://slidesplayer.com/，第25章特殊電機。
[27]http://ming-shian.blogspot.com/，步進馬達的介紹。
[28]M.F. Rahman, D. Patterson, A. Cheok, R. Betz, “34 - Motor Drives,” in Power Electronics Handbook (Third Edition), pp. 915-991, 2011.
[29]徐偉傑，測微器結合小型步進馬達結構開發，國立勤益科技大學機械工程系碩士論文，民國一百零四年七月。
[30]林柏瑋，以FPGA實現兩相混合型步進馬達之位置/速度可變結構控制器設計，國立勤益科技大學電機工程系碩士論文，民國一百零九年八月。
[31]https://www.orientalmotor.com.tw/，微步級驅動的動作原理。
[32]黃正杰，二相步進馬達多軸同動控制系統設計與研製，國立交通大學電控工程研究所碩士論文，民國一百零五年十二月。
[33]http://romeofan.synology.me/mainhome.files/motor/servo&stepper.html，工業用馬達。
[34]https://medium.com/，第一次使用MCU-微控制器基本架構。
[35]https://archive.eettaiwan.com/www.eettaiwan.com/，EET電子工程專輯 MCU 架構介紹。
[36]https://robotworkshop9.com/，了解微控制器。
[37]https://kknews.cc/zh-tw/digital/pkeanr2.html，微處理器與微控制器的差別。
[38]L.Svilainis, “LED PWM dimming linearity investigation,” Procedia Engineering, vol.29, Issue 3, pp. 243-249, 2008.
[39]Thenmozhi T, Hariharan Muralidharan, Prabakaran Kandasamy, “Control of brushless DC motor by voice command implementing machine learning,” Materials Today: Proceedings, vol.46, pp. 3841-3844, 2021.
[40]陳源林，Holtek微控制器應用簡單上手:C語言實例說明，2008。
[41]Chung-Wen Hung, Shi-Xuan Zeng, Ching-Hung Lee, Wei-Ting Li, “End-to-end deep learning by MCU implementation: an intelligent gripper for shape identification,” Sensors, vol.21, Issue 3, 2021.
[42]Han Dawoon, Jang You-Cheol, Oh Sung-Nam, Chand Rohit, Lim Ki-Tae, Kim Kab-Il, Kim Yong-Sang, “MCU based real-time temperature control system for universal microfluidic PCR chip,” Microsystem Technologies-micro-and Nanosystems-information Storage And Processing Systems, vol. 20, Issue 3, pp. 471-476, 2021.
[43]Sudipta Chatterje, Sahadev Roy, “A low-cost assistive wheelchair for handicapped & elderly people,” Ain Shams Engineering Journal, 2021.
[44]https://www.digitimes.com.tw/，邊緣運算勢在必行-微控制器成要角。
[45]曹永忠、許智誠、蔡英德，Arduino步進馬達控制，2014年。
[46]Ali Abdyaseer Kadhum, Munther Mohammed Abdulhussein, “Implementation dc motor as servomotor by using arduino and optical rotary encoder,” Materials Today: Proceedings, 2021.
[47]S. Sai Sri Vastava, B. Vandana, Macha Bhavana, Rashmitha Gongati, “Automatic movable road divider using Arduino UNO with Node Micro Controller Unit (MCU),” Materials Today: Proceedings, 2021.
[48]https://www.bit.com.au/, Ten projects you can try with a Raspberry Pi.
[49]Ali Farouk Khalifa, Eman Badr, Hesham N. Elmahdy, “A survey on human detection surveillance systems for Raspberry Pi,” Image and Vision Computing, vol.85, Issue 4, pp. 1-13, 2019.
[50]V. Bharathi, M. Karpagam, S. Jeevab, L.K.Kiran, “Smart parking guidance system using RASPBERRY-PI,” Materials Today: Proceedings, 2020.
[51]https://zh.wikipedia.org/wiki/樹莓派。
[52]Pajankar, Ashwin, Practical Linux with Raspberry Pi OS: Quick Start, 2021.
[53]https://www.raspberrypi.com.tw/，台灣樹莓派。
[54]Leila Boussaad, Aldjia Boucetta, “An effective component-based age-invariant face recognition using discriminant correlation analysis,” Journal of King Saud University - Computer and Information Sciences, 2020.
[55]http://ip.csie.ncu.edu.tw/，影像處理簡介。
[56]藍彥鴻，人臉辨識應用於教室點名系統之研究，國立聯合大學機械工程學系碩士班，民國109年7月。
[57]Seiichi Uchida, “Image processing and recognition for biological images,” Development Growth & Differentiation, vol.55, Issue 4, pp. 523-549, 2013.
[58]https://finalfrank.pixnet.net/，彩色轉灰階(全彩轉灰階)。
[59]https://shengyu7697.github.io/，影像平滑模糊化。
[60]https://zh.wikipedia.org/wiki/影像平滑化。
[61]張元翔，數位影像處理-Python程式實作，2020年7月。
[62]https://ayu6628.pixnet.net/，影像銳利化處理。
[63]https://medium.com/，邊緣偵測 - 拉普拉斯算子。
[64]Hershey, Face Recognition in Adverse Conditions, 2014.
[65]Fei Wang, Jingdong Wang, Changshui Zhang, James Kwok, “Face recognition using spectral features,” Pattern Recognition, vol. 40, Issue 10, 2007.
[66]Pranav K B, Manikandan J, “Design and evaluation of a real-time face recognition system using convolutional neural networks,” vol. 171, pp. 1651-1659, 2020.
[67]Ali Sharifara, Mohd Shafry Mohd Rahim, Yasaman Anisi, “A general review of human face detection including a study of neural networks and haar feature-based cascade classifier in face detection,” 2014 International Symposium on Biometrics and Security Technologies (ISBAST), pp. 73-78, Aug. 2014.
[68]M Shujah Islam Sameem, Tehreem Qasim, Khush Bakhat, “Real time recognition of human faces,” International Conference on Open Source Systems and Technologies (ICOSST), pp. 62 - 65, Dec. 2016.
[69]Murat Taskiran, Nihan Kahrman, Cigdem Eroglu Erdem, “Face recognition: past, present and future,” Digital Signal Processing vol. 106, November 2020.
[70]A4988-DMOS Microstepping Driver with Translator and Overcurrent Protection datasheet (2009), Allegro MicroSystems.
[71]MLX90614 datasheet, (2019), Melexis.
[72]https://hugheschung.blogspot.com/，樹莓派控制多個Arduino---使用Python。