台灣中南部雞隻養殖的業者大致上分為兩類，一個是蛋雞，一個是肉雞飼養。但這兩種雞隻在飼養上有很大的差別，肉雞只需要放入雞舍內養殖約40天左右的成長期就可以上市出貨；但是蛋雞方面成長期約有125天，125天之後才會開始產蛋，蛋雞的成長環境以及產蛋率十分需要注意，產蛋率受到溫度、濕度、氨氣等等環境因素影響，因此想設計出一個App可以遠端監控跟紀錄蛋雞出生至淘汰的數據。
設計出一套App系統以便養殖業者管理農場、養殖場將環境變數建構在手機平台以及雲端，內部含有即時監控系統，可以遠端監控雞舍內部的環境變數，以及生產週期表、遠端控制風扇。可以記錄蛋雞出生到淘汰的過程中所有的環境變數以及產蛋量，藉此交叉比對出哪個環境因素會對產蛋率影響最多。不僅可以使農場、養殖場的管理更加方便，也因為場域的環境變數以及資訊統整在平台上方，能使年輕人口更能快速有效的融入傳統農業和畜牧業，不再因為世代的隔閡導致人口老化而缺少人力造成的損失，達到智慧管控使的蛋雞飼養更加的智慧以及有效率的便利性。

In Southern and Central areas of Taiwan, the regional chicken farming industry operates under two objectives- breeding chickens as either layers or broilers. These two types of poultry, however, follow two rather different breeding methods. For broilers, it requires a 40-day nurturing period before going into market. For layers, it takes approximately 125 days for chicks to reach laying stage. Regarding the latter, it has many factors to consider. Breeding environment and laying rate can be affected by variables such as temperature, humidity, ammonia gas level and many other environmental factors/ etc. For this reason, I plan to design a phone software to monitor and record the weight of the layers and the number of eggs laid from afar.
This software model will allow breeders to gain access of relevant information to better manage breeding farms while having variable data installed onto both phone and Cloud platforms. It also has instant monitoring function that can keep track of the internal environmental variables of target chicken farms. In addition, it can also be used as a ventilation remote control and laying cycle reference. These will be carried out by keeping record of the growing cycle of a chick from hatchling until the end of its laying stage; crosschecking to identify the affecting environmental variables. In sum, this software will benefit the existing poultry farmers by enhancing a smoother management and bridging the generation gap amongst this field by attracting new blood.

目錄
致謝	I
中文摘要	II
ABSTRACT	III
目錄	IV
圖目錄	VII
表目錄	X
第一章 緒論	1
1.1 研究動機	1
1.2 研究目的	2
1.3 章節介紹	2
第二章 研究背景	3
2.1 雞舍養殖環境介紹	3
2.1.1 開放式雞舍	3
2.1.2 密閉水簾式雞舍	4
2.2 蛋雞全生產週期	5
2.3 雞舍的環境參數	5
2.3.1 溫度	5
2.3.2 濕度	5
2.3.3 氨氣	5
2.3.4 二氧化碳	6
2.4 文獻回顧	6
第三章 研究方法	10
3.1 系統架構與流程	10
3.1.1 系統架構	10
3.1.2 感測器模組硬體流程圖	11
3.1.3 遠端控制模組硬體流程圖	12
3.1.4 軟體流程圖	13
3.2 硬體設備介紹	14
3.2.1 Arduino D1開發版	14
3.2.2 DHT22溫濕度感測器	15
3.2.3 MG811 CO2 二氧化碳感測器	15
3.2.4 MQ137 氨氣感測器	16
3.3 軟體介紹	17
3.3.1 硬體開發平台	17
3.3.2 雲端資料庫開發平台	17
3.3.3 手機應用程式開發平台	19
3.4 資料傳輸方法	19
3.5 室內模擬環境	20
3.6 蛋雞實測環境	23
第四章 研究結果	24
4.1 網頁場域即時資訊	24
4.1.1 實驗室場域	25
4.1.2 蛋雞實測場域	27
4.2 手機場域資訊顯示介面	29
4.2.1 室內模擬場域	35
4.2.2 蛋雞實測場域	40
4.2.3 其他功能	47
第五章 結論與未來展望	49
5.1 結論	49
5.2 未來展望	49
參考文獻	50
 
圖目錄
圖 1 開放式雞舍	3
圖 2 場域介紹	4
圖 3 感測流程圖	8
圖 4 感測器架構方塊圖	8
圖 5 感測器接法	9
圖 6 系統架構圖	10
圖 7 硬體流程圖	11
圖 8 遠端控制流程圖	12
圖 9 軟體流程圖	13
圖 10 Arduino D1開發版	14
圖 11 DHT22感測器	15
圖 12 MG811實體圖	16
圖 13 MG811電路圖	16
圖 14 MQ137感測器	17
圖 15 簡易PHP程式	18
圖 16  MySQL資料庫	18
圖 17 開發板與資料庫連結	19
圖 18 室內模擬場域平面圖	20
圖 19 模擬場域A	21
圖 20 模擬場域B	21
圖 21 模擬場域C	22
圖 22 模擬場域D	22
圖 23 蛋雞實測環境	23
圖 24 網頁首頁介面	24
圖 25 模擬場域資料顯示(1天)	25
圖 26 模擬場域資料顯示(7天)	26
圖 27 模擬場域資料顯示(30天)	26
圖 28 蛋雞實測場域資料顯示(1天)	27
圖 29 蛋雞實測場域資料顯示(7天)	28
圖 30 蛋雞實測場域資料顯示(30天)	28
圖 31 首頁與即時觀測頁面	29
圖 32 報表操作頁面	30
圖 33 應用程式首頁	31
圖 34 輸入體重與產蛋量頁面	31
圖 35 微生物檢測	32
圖 36 生理指數頁面	32
圖 37 AI智慧雲頁面	33
圖 38 遠端控制開啟	34
圖 39 遠端控制關閉	34
圖 40 即時觀測顯示頁面	36
圖 41 天報表顯示頁面	37
圖 42 7天報表顯示頁面	38
圖 43 30天報表顯示頁面	39
圖 44 蛋雞實測場域網頁資料顯示(1天)	41
圖 45 蛋雞實測場域網頁資料顯示(7天)	41
圖 46 蛋雞實測場域網頁資料顯示(30天)	42
圖 47 實測場域即時觀測頁面	43
圖 48 天報表顯示頁面	44
圖 49 7天報表顯示頁面	45
圖 50 30天報表顯示畫面	46
圖 51體重與產蛋量頁面	47
圖 52 錯誤日期處理	48
表目錄
表 1 四季對雞隻的影響	7
表 2 環境因素對雞隻的影響	7

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