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研究生:黃錫泉
研究生(外文):shyi chyuan Hwang
論文名稱:模糊邏輯應用於循環水之養鰻池之水質監控系統
論文名稱(外文):APPLICATION OF FUZZY LOGIC ON WATER QUALITY MONITORING AND CONTROLLING SYSTEM:WATER-REUSE EEL PONDS
指導教授:陳俊明、余廷基
指導教授(外文):jiunn ming Chen、ting chi YU
學位類別:碩士
校院名稱:國立中興大學
系所名稱:農業機械工程學系
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:1995
畢業學年度:83
語文別:中文
論文頁數:163
中文關鍵詞:模糊邏輯模糊知識庫模糊規則庫模糊推導解模糊化
外文關鍵詞:FUZZY LOGICFUZZY KNOWLEDGE BASEFUZZY RULE
相關次數:
  • 被引用被引用:1
  • 點閱點閱:180
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  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
本論文乃應用模糊邏輯理論,以循環水養鰻池為試驗對象進膍s,由於水
溫、溶氧量與酸鹼值等三個水因子為影響水質最 之因素,因此本文先以
此三個水因子作為主要探討對象。本研究首先建立興大型循環水養鰻試驗
系統,再以此系統進 期試養、蒐集水質數據及實際養鰻試驗,試驗結果
顯示系統隤洩p良好。本研究另在水試所鹿港分所養鰻池蒐集相關養鰻頛
ⅹ琚C依據所得之數據及配合專家經驗,據以建立安全養殖井袎筆暀帡物
袎筆棫奶T個模糊邏輯監控範圍等級。本論文分袘P實際模糊邏輯推導,兩
種推導模式均個別定義七條規則庫 z論模糊邏輯推導之前件部採梯形歸屬
函數三個模糊分割,後§臚T角形歸屬函數二個模糊分割,而實際模糊邏
輯推導之前◆P後件部,均採用三角形歸屬函數七分割,推導後之解模糊
§艦帡物蛌k。本論文經理論與實際的模糊邏輯推導,並經模擬驗證其結
果 @致,而傳統監控軟體與模糊邏輯監控軟體系統測試之比較結 A顯示模
糊邏輯監控系統較能反應實際養鰻池之水質狀況。

This work uses fuzzy logic theory to monitor and controlwater
conditions in aquaculture. We demonstrated this m-d in a water
re-use eel pond. The most important factorsaquaculture are
water's temperature, oxygen content andevel. These three
factors are used as the control param-s in our study. We first
build a water re-use aquaculturefor eel in the university.
Through the initial trial runta collection for water, and
actual cultivation, the pondroven to have good water quality.
We also collected ther data from a real eel pond in Lu-Kang
branch of Fisheryarch Institute. Combined with our data and
experience f-experts, three different fuzzy control/monitor
levels canstablished- safe, medium warning and high warning
levels. This research uses both theoretical and experimental fu-
logic deductions. Both deduction methods define seven r-data
base. The antecedent of theoretical fuzzy logic d-tion uses
trapezoidal function with three fuzzy partiti-The consequent
uses triangular function with two fuzzyitions. As for the
experimental fuzzy logic deduction,triangular function with
seven partitions is used for b-antecedent and consequent. The
mean of maxima method isfor defuzzificating the fuzzy logic,
and both methodssame results in the simulation. We have
demonstrated t-uzzy logic monitor/control system can better
reflect theal water conditions in an eel pond when compared to
theitional monitor/control system.

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