臺灣博碩士論文加值系統

水生生物最重要的生存要素就是水質，在有限飼養空間下，水質需要密切監控，以模仿原生生物的環境，天氣變化會改變人工環境，生物的排泄物影響水中的pH值，循環給氧幫浦影響水中的溶氧，本研究就是要來探討重要的水質要素。
豬鼻龜為保護類生物，本人領有該項飼養執照，因此本系統使用豬鼻龜來當目標生物。豬鼻龜的食物包含肉類與植物都是很好取得，棲地較佳環境為水溫28～33℃、pH 7.5～8.5以及還要監控水中溶氧量，因為水溫與pH值關係，酸化代表水中有機質與無機值增加讓飽和溶氧量下降，所以豬鼻龜是很好的實驗對象，影響水質狀況變數為每天的餵食殘餌與排泄物及濾材累積的汙物。
本系統透過Arduino整合與監控溫度、pH值、溶氧量等感測器，再利用趨勢預測工作表分析數據，趨勢預測未來狀況，使能源與資本達到最有效利用。達成目標有省水、節電、減少耗材使用及增加生物存活率減少發病率，實現提高效益及增加存活率與節約能源的目標。

The most important survival factor of aquatic organisms is water quality. Under limited breeding space, water quality needs to be closely monitored to mimic the environment of native organisms. Weather changes will change the artificial environment. Biological excreta will affect the pH value of the water. Pu affected the dissolved oxygen in water. This study is to explore important water quality factors.
The Carettochelys Insculpta is a protective creature. I own this license and therefore the system uses the Carettochelys Insculpta as a target creature. The food of the Carettochelys Insculpta is very easy to obtain, including meat and plants. The preferred habitat environment is water temperature of 28-33°C, pH 7.5-8.5, and monitoring of dissolved oxygen in water. Because of the relationship between water temperature and pH value, acidification represents an increase in the organic matter and inorganic value of water, so that the amount of saturated dissolved oxygen decreases, so the Carettochelys Insculpta is a good experimental object. The variables that affect the water quality are daily feeding of waste products and dirt accumulated from excreta and filter materials.
The system uses Arduino to integrate and monitor sensors such as temperature, pH, and dissolved oxygen, and then uses trend prediction worksheets to analyze data and trends to predict future conditions so that energy and capital can be used most efficiently. To achieve the goal of saving water, saving electricity, reducing the use of consumables and increasing the survival rate of organisms to reduce the incidence rate, and to achieve the goal of improving efficiency, increasing survival rate and saving energy.

中文摘要--------------------------------------------------------------- ⅰ
英文摘要--------------------------------------------------------------- ⅱ
誌謝--------------------------------------------------------------------- ⅳ
目錄--------------------------------------------------------------------- ⅴ
圖目錄------------------------------------------------------------------ ⅷ
表目錄------------------------------------------------------------------ ⅻ
第一章緒論------------------------------------------------------------- 1
1.1引言 ----------------------------------------------------------------- 1
1.2研究動機 ----------------------------------------------------------- 2
1.3章節說明 ----------------------------------------------------------- 3
第二章文獻探討 ------------------------------------------------------ 4
2.1什麼是Arduino---------------------------------------------------- 4
2.1.1Arduino UNO--------------------------------------------------- 6
2.1.2ATmega328P--------------------------------------------------- 9
2.2Arduino 開發環境------------------------------------------------ 17
2.2.1Arduino IDE----------------------------------------------------- 17
2.2.2程式編寫--------------------------------------------------------- 21
2.3Arduino擴充套件------------------------------------------------- 23
2.3.1溫度感知器------------------------------------------------------ 23
2.3.2pH感知器-------------------------------------------------------- 26
2.3.3溶氧感知器------------------------------------------------------ 30
2.4ThingSpeak ------------------------------------------------------- 33
2.4.1建立ThingSpeak帳號----------------------------------------- 33
2.5趨勢預測分析------------------------------------------------------ 35
2.5.1預測工作表------------------------------------------------------- 37
2.5.2在Excel中建立預測工作表----------------------------------- 37
2.6豬鼻龜--------------------------------------------------------------- 38
2.6.1特徵--------------------------------------------------------------- 39
2.6.2習性--------------------------------------------------------------- 39
第三章豬鼻龜養殖監控系統---------------------------------------- 41
3.1系統架構------------------------------------------------------------ 42
3.2系統硬體------------------------------------------------------------ 43
3.2.1Arduino----------------------------------------------------------- 43
3.2.2DS18B20溫度感測器------------------------------------------ 48
3.2.3SKU SEN0161 pH meter------------------------------------- 48
3.2.4DO_EZO水氧計------------------------------------------------- 50
3.2.5豬鼻龜養殖監控系統實體照片------------------------------- 51
3.3系統軟體------------------------------------------------------------ 54
3.3.1程式編輯軟體系統---------------------------------------------- 54
3.3.2DS18B20水溫計程式------------------------------------------ 55
3.3.3SEN0161 pH探棒程式----------------------------------------- 56
3.3.4DO_EZO水氧計程式------------------------------------------- 57
第四章系統整合與測試---------------------------------------------- 58
4.1系統整合------------------------------------------------------------ 58
4.1.1硬體架設--------------------------------------------------------- 58
4.1.2確認資料已記錄------------------------------------------------ 60
4.2系統測試------------------------------------------------------------ 61
第五章結果與討論---------------------------------------------------- 65
參考文獻---------------------------------------------------------------- 68

[1] 簡介台灣的水產養殖業？，水產知識淺說，行政院農委會水產試驗所，取自https://goo.gl/fb1LJF。
[2] 張福龍，( 91年) 觀賞魚產業現況與展望，行政院農業委員會全球資訊網 91年11月（第125期），取自https://goo.gl/EmvbZk
[3] 林翌綺(2015)。台灣觀賞魚養殖產業競爭優勢之研究（未出版之碩士論文）。國立高雄第一科技大學，高雄。
[4] Dipti Bawa, et al. (2013). Fuzzy control based solar tracker using Arduino Uno, Department of Instrumentation and Control, College of Engineering, Pune.
[5] Fransiska R.W. et(2013), Electrical Power Measurement Using Arduino Uno Microcontroller and LabVIEW, Department of Physics, Bandung Institute of Technology, Bandung, Indonesia.
[6] A .SHANKAR(2016), IOT Based Smart Garbage alert system using Arduino UNO, Coimbatore, TamilNadu, India Student, Sri Ramakrishna Engineering College.
[7] De Zhang, (2016). Video Monitoring System of Security based on Wi-Fi, 2016 Chinese Control and Decision Conference (CCDC). Yinchuan, China.
[8] Muhammad Mujahidin, (2013). PERANCANGAN SISTEM TELEMETRI WIRELESS UNTUK MENGUKUR SUHU DAN KELEMBABAN BERBASIS ARDUINO UNO R3 ATMEGA328P DAN XBEE PRO, Jurusan Teknik Elektro, Fakultas Teknik, Universitas Maritim Raja Ali Haji Jln. Politeknik, KM 24 Senggarang, Tanjung Pinang, Indonesia.
[9] Deekshith K, et al. (2015. Solar tracking system, International Journal of Scientific & Engineering Research, Volume 6, Issue 9, September-2015.
[10] Kanoria Shubham Anil, et al. (2017). Design and Development of Universal Motor Control Unit using MATLAB and Arduino, National Conference on Emerging Trends, Challenges & Opportunities in Power Sector, March 2017.
[11] Software LOGO, Arduino Official website， 取自 https://goo.gl/7s86TG。
[12] 高玉芹(2005)， 基于AVR单片机和DS18B20的多点温度测量系统，《仪表技术》2005年 第3期 15-17页。
[13] Taufik Ibnu Salim, (2016). Design and Implementation of Water Quality Monitoring for Eel Fish Aquaculture, 2016 International Symposium on Electronics and Smart Devices (ISESD) November 29-30, 2016.
[14] Daniel Ling Ho Chu, et al. (2010). Leptin: Clue to poor appetite in oxygen-starved fish, Molecular and Cellular Endocrinology Volume 319, Issues 1–2, 5 May 2010.
[15] Thingspeak Official website。 取自 https://goo.gl/CUQDsU。
[16] David Huang, (2016). David's Perspective Data Science September 7, 2016 取自 https://goo.gl/fa71ST。
[17] Angle Roh, et al. (2015)。 趨勢預測法- MBA智库百科，取自 https://goo.gl/gojFrQ。
[18] Lynn， (2017)。 "從人工智慧、機器學習到深度學習，不容錯過的人工智慧簡史"， 取自https://goo.gl/GMCLPT。
[19] MARK ROSE, (2008). "Carettochelys insculpta Ramsay 1886 – Pig-Nosed Turtle, Fly River Turtle", Published June 13 2008.
[20] 保育類野生動物名錄（106年5月1日生效），行政院農業委員會林務局，取自https://conservation.forest.gov.tw/0001857。
[21]河川污染指數，水質標準，行政院環竟保護署，取自https://goo.gl/d2eA3V。
[22]林國焱(2017)。基於 LoRa WSN 之物聯網水產養殖監控系統之應用（未出版之碩士論文）。國立勤益科技大學，台中。
[23]吳東馨(2010)。水產養殖用自動化監控系統之研製（未出版之碩士論文）。國立臺北科技大學，台北市。
[23]林熊徵(96)。水產養殖池溶氧遠端監控系統（未出版之碩士論文）。建國科技大學，彰化。
[24]王俞翔(2016) 。養殖漁業的水質監測系統（未出版之碩士論文）。國立臺灣師範大學，台北市。
[25] Kiseon Kim(2014), Aquaculture Monitoring and Control Systems for Seaweed and Fish Farmingn, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
[26] Phillip G. Lee(1994), A Review of Automated Control Systems for Aquaculture and Design Criteria for Their Implementation, Marine Biomedical Institute, University of Texas Medical Branch, 301 University Blvd, Galveston.
[27] Bardach, J. E.; Ryther, J. H.; McLarney, W. O., (1972), Aquaculture. The farming and husbandry of freshwater and marine organisms. UK.
[28] Gabriel de Castro Erzini(2016), Controlo Remoto de um Sistema de Aquacultura, Dissertation presented to the University of Aveiro to fulfil the requirements for obtaining the Master´s degree in Mechanical Engineering, supervised by Prof. Doutor José Paulo Oliveira Santos, Assistant Professor of University of Aveiro.
[29] H.L. Chen, X.Q. Liu, (2015). A Novel Kind of Smart Monitoring System of Aquaculture, Proceedings of the 2015 International Conference on Electrical, Computer Engineering and Electronics.
[30] Gene Barrett, Mauricio I Caniggia, Lorna Read, (2002). " There are More Vets than Doctors in Chiloé ": Social and Community Impact of the Globalization of Aquaculture in Chile, World Development Volume 30, Issue 11, November 2002, Pages 1951-1965.