物聯控制智動化雲端農場系統之研究-以秀珍菇農場為例

A Study on Cloud Smart Control Farm System - Apply in Oyster Mushroom Farms

劉金昌

農業4.0 ； 智慧農場 ； 物聯網 ； 秀珍菇 ； Agriculture 4.0 ； Smart Farm ； Internet of Things ； Oyster Mushroom

臺中科技大學資訊工程系碩士班學位論文

2017年

碩士

陳同孝;黃健哲

繁體中文

農業必須提升至智慧生產與數位服務的型態，藉由感測技術、智能機器裝置、物聯網、大數據分析等前瞻技術，也就是所謂的農業 4.0。而如何運用物聯網技術於農場，取代原本定時控制器等來控制各項環境條件而提供有利的生長環境，是目前新興的議題。 本研究旨在於建構即時物聯控制智動化雲端農場系統，系統平台以Delphi程式語言開發，結合Arduino及相關物聯網感測元件硬體，採用微軟SQL伺服器為後端資料庫，進而取代原本使用定時控制器或PLC控制器等非即時設備控制方式，故可依據農場中各種環境項目之即時數據而自動調控環境輸出單元，藉以維持或改變環境條件。 其次，在政府推動農業4.0中，農業領航產業的其中一項重點為精緻農產業：菇類全環控智慧化生產，故本研究以秀珍菇農場為例，實務運用於南投地區某一秀珍菇農場，進而控制秀珍菇的生長狀態。此外，因菇類可依温度之控制來掌控採收週期，故亦可透過網路於雲端平台接收訂單，再由平台智能分析需求後，去調控菇房之排程自動控制，實現訂單式批量生產之模式

Agriculture 4.0 which is agriculture must be promoted to intelligent production and digital services model, by sensor technology, intelligent machine devices, Internet of Things, Big Data analysis and other future technologies. And how to use the Internet of Things technology in the farm, to replace the original timing controller to control the environmental conditions and provide a favorable environment for growth, is the emerging issue. The purpose of this study is to construct the real-time control of the intelligent cloud farm system, using Delphi programming language to develop system platform, combined with Arduino and related Internet of Things sensor component hardware, by using Microsoft SQL server as the back-end database, in order to replace the original use of timing controller or PLC controller and other non-real-time device control, so it can be based by variety of environmental real-time data in the farm to control the environment output unit, in order to maintain or change the environmental conditions. Moreover, as the government promoting the Agriculture 4.0, one of the focus for the agricultural pilot project is intelligent mushroom environmental control production, so this study using mushroom farm as example, and apply practical application in the Nantou area mushroom farm, and then control the growth of the mushroom. In addition, the mushroom can be controlled by the temperature in order to control the production cycle, and it can also be through the network platform in the cloud to receive orders, and then by the platform analysis for the demand, to control the automation of the mushroom production room, to achieve order-based batch production model.

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