Applying Intelligence Control in Factory Automatic Cooling Design

• Main Authors: YI-RUEI JHENG, 鄭宜睿
• Other Authors: Mao-Lin Chen
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/88994953856022817791

碩士 === 建國科技大學 === 自動化工程系暨機電光系統研究所 === 102 === The purpose of this study is to practice an intelligent cooling automatic control in the fuzzy theory integration of medium –sized factories. The system takes a PLC controller as the core. It establishes an intelligent cooling system design which includes a temperature sensor, a water recycling system and a water refilling. It applies a multi-sensor detector technology to act as the input of fuzzy theory. According to the fuzzy control principle, a water recycling control index table is achieved and makes the factory roof with a cooling and energy saving function. By means of actual verification, the intelligent controlled temperature design is stable and has characteristics of simple, fast-responsive and sturdy. The medium-sized factories can achieve the energy-saving purpose and promote the performance effectively. It is free from the influence of high temperature and gets the cooling effect of water recycling by means of fuzzy control.