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研究生:林浩穎
研究生(外文):Hao-Ying Lin
論文名稱:運用物聯網與資料探勘對小麥草進行數據分析
論文名稱(外文):Data Analysis of Wheatgrass Growing Using Internet of Things and Data Mining
指導教授:余政杰余政杰引用關係
指導教授(外文):Cheng-Chieh Yu
口試委員:曾德樟鄭群星
口試委員(外文):Der-Chang TsengChyun-Shin Cheng
口試日期:2018-07-17
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:電子工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:中文
論文頁數:124
中文關鍵詞:集群演算法資料探勘植物工廠物聯網
外文關鍵詞:Cluster AlgorithmData ExplorationPlant FactoryInternet of Things
相關次數:
  • 被引用被引用:9
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  • 下載下載:220
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  隨著物聯網時代的快速發展,許多產業也漸漸轉型,而農業也不例外。目前,國內傳統農場大多是透過長期的種植經驗而成為農業知識,而這樣永遠逃不出「看天吃飯」的隨機性。不過隨著物聯網技術與數據處理速度的提升,農業開始慢慢變得更加複雜、更加有預測性,進而誕生了植物工廠。本論文將設計一個低成本的微氣象系統收集環境資料,利用物聯網的技術,將資料收集至雲端,以利農民能夠及時觀測環境目前的變化,而資料探勘技術(Data Mining)在於能由大量資料庫中分析並歸納出具有意義的資訊,並將其資訊透過演算法來找出作物的生長環境,並且得到模型。
  硬體方面使用NodeMCU微控器,以及三種感測器DHT11、BH1750、DS18B20,利用基於C/C++的Arduino語法開發設計。運用ESP8266無線網路晶片透過Wi-Fi與MQTTlens伺服器做連結,將資料透過伺服器做推送,在ThingSpeak上做資料的即時呈現以及視覺化。軟體方面採用R語言去做資料探勘方面的分析處理,並透過資料探勘中的集群演算法,將資料分群建立模型來了解小麥草生長的品質與環境。
With the rapid development of the Internet of Things era, many industries are gradually transformed, and agriculture was not exception. At present, most of the traditional farms have become agricultural knowledge through long-term planting experience, which will never escape the randomness of “Depend on heaven for food”. But as the Internet of things technology and data processing speeds up, agriculture is slowly becoming more complex and predictable, and creating the Plant Factories. This thesis will design a low-cost micro-meteorological system to collect environmental data, and use the technology of the Internet of Things to collect data to the cloud so that farmers can observe the current changes in the environment in a timely manner. Data mining technology can analyze and summarize the meaningful information. Using the algorithm to find out the growth environment of the crop and obtain the model.
The hardware uses the NodeMCU microcontroller as well as the three sensors DHT11, BH1750, and DS18B20 to develop and design using the Arduino syntax based on C/C++. The ESP8266 wireless network chip is used to connect to the MQTTlens server through Wi-Fi, push the data through the server, and instantly present and visualize the data on the ThingSpeak. In terms of software, R language is used to analyze and process data exploration, and through the cluster algorithm in data exploration, the data is grouped and modeled to understand the quality and environment of wheatgrass growth.
摘要 i
ABSTRACT ii
誌謝 iv
目錄 v
表目錄 ix
圖目錄 xi
第一章 緒論 1
1.1 研究動機與目的 1
1.2 研究方法 4
1.4 論文架構 5
第二章 植物工廠組成架構 7
2.1 植物工廠介紹 7
2.2 植物工廠與傳統耕作比較 8
2.3 國外發展現況 10
2.4 國內發展現況 14
2.5 植物工廠優點與缺點 16
第三章 物聯網之探討 18
3.1 物聯網概述 18
3.2 物聯網架構 20
3.3 感知層 22
3.4 網路層 24
3.4.1 Zigbee 25
3.4.2 Bluetooth 26
3.4.3 Wi-Fi 27
3.4.4 通訊技術比較 28
3.5 應用層 30
3.5.1 通訊協定 31
3.5.1.1 HTTP 31
3.5.1.2 MQTT 34
3.5.1.3 HTTP與MQTT比較 38
3.5.2 雲端運算技術 41
第四章 資料探勘之探討 43
4.1 資料探勘 43
4.1.1知識發掘與資料探勘之概念 44
4.1.2資料探勘架構 45
4.1.3資料探勘流程 46
4.1.4敘述統計 48
4.1.5皮爾森相關係數 53
4.2 資料探勘方法 55
4.2.1回歸 (Regression Analysis) 56
4.3.2類神經網路 (Neural Network) 56
4.2.3決策樹 (Decision Tree) 58
4.2.4關聯規則分析 (Association Rule Learning) 59
4.2.5集群分析 (Cluster Analysis) 60
4.2.6資料探勘方法比較 63
第五章 系統硬體架構與開發環境 65
5.1 硬體架構 66
5.1.1 NodeMCU 66
5.1.1.1 ESP8266簡介 66
5.1.1.2 ESP8266硬體規格與應用 67
5.1.1.3 NodeMCU基本介紹 67
5.1.1.4 NodeMCU特點 71
5.1.2 DHT11溫濕度感測器 72
5.1.3 BH1750光強度感測器 73
5.1.4 DS18B20探頭式防水溫度感測器 74
5.2 開發環境 75
5.2.1 Arduino IDE開發環境 75
5.2.2 MQTTlens伺服器 76
5.2.3 ThingSpeak雲端平台 77
5.2.4 Rstudio開發環境 78
第六章 實驗結果與驗證 80
6.1 實驗流程 82
6.1.1 建置實驗環境設定 84
6.1.2 資料預先處理 85
6.1.3 集群演算法 89
6.2 驗證 99
第七章 結論與未來展望 103
7.1 結論 103
7.2 未來規劃 104
參考文獻 105
附錄 110
物聯網氣象站開發相關程式 110
資料探勘R語言相關程式 114
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