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Title page for etd-0712118-131244


URN etd-0712118-131244 Statistics This thesis had been viewed 106 times. Download 0 times.
Author Shih-Hsin Chen
Author's Email Address No Public.
Department Electrical Engineering
Year 2017 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 49
Title Green House Auto Control Functional Analysis
Keyword
  • Green House
  • Nutrition
  • Nutrition
  • Green House
  • Abstract This thesis is dedicated to mainly apply industrial specifications of control components, for development of agricultural automation systems, including agricultural water cultivation systems for the automatic control of water quality EC (electrical conductivity) / pH (pH) adjustment. By integrating logic program and electrical circui with Taiwan made equipment product , the proposed system achieved power saving effectively, maintaince easily, price econonically and quality acceptable for real market level.
      The first step for Agriculture 4.0 integration , is to convert signals of whole system into digital data for procerssing and storage by using stable control and sensing elements. Hence the Industrial components in agricultural production control adopts the most available products in market, include module coverting EC/pH signals to data flow. The digital data stream can also provide to agricultural professionals with an efficient analysis of production systems.
      In this study, modules of Industrial specification like RTU (Remote Transfer Unit) controller, HMI(Human Manufacture Interface), Peristaltic pump and other components , integrated with software programs into HMI( human-machine interface) to achieve unattended automatic water automatically control. Above all; noman operation of nutrient pH & EC is also achieved.
      In addition to the running efficiently for system, program modify and on line program upgrade are also built into system simultaneously, as that is general market requirement. With the satisfaction of end user, a matured control system to serve for various factory is presented here.
    Advisor Committee
  • Prof. Chau-Yun Hsu - advisor
  • Files indicate in-campus access only
    Date of Defense 2018-06-29 Date of Submission 2018-07-12


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