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研究生:陳勇州
研究生(外文):Chen, Yeong-jou
論文名稱:連續式音波稻穀水份計之研究
論文名稱(外文):Research in An Acoustic Moisture Meter of Flowing Rice Grain
指導教授:陳加忠陳加忠引用關係
指導教授(外文):Chia-Chung Chen
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:1997
畢業學年度:85
語文別:中文
論文頁數:133
中文關鍵詞:稻穀音波含水率水份計
外文關鍵詞:rice grainacousticmoisture contentmoisture meter
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稻穀在不同含水率與下落高度之條件時,其流動下落所產生的音壓
強度值 (SPL)也隨之不同。本研究探討稻穀含水率與稻穀下落高度對等量
連續音波位準值 (Leq)之關係,進而求得稻穀含水率對稻穀下落高度及
Leq值間的迴歸方程式,以作為線上﹑即時量測之連續式音波稻穀水份計
之量測基礎。在本研究中,稻穀之實際含水率係以熱風烤箱以 105 C烘
烤72小時以量測稻穀之乾物質重再求得稻穀之實際含水率。 實驗結果
顯示, Leq值與稻穀下落高度及稻穀含水率顯著相關。將實驗所得到之數
據,以Multreg迴歸分析軟體將Leq值對稻穀下落高度及稻穀含水率多重迴
歸分析,以建立兩組模式,一﹑模式A:以 Leq值為他變數,含水率 (MC)
與高度(H)為自變數,建立迴歸方程式再以代數法求得MC之預測公式。二
﹑模式B:直接以MC為他變數,Leq與H為自變數,直接建立預測公式。
此研究之稻穀下落高度範圍為 250mm至 550mm,稻穀含水率範圍
為12.6368(%)至25.3157(%)。在此範圍另以與模式建立之數據以外之獨立
數據對稻穀含水率遇測模式 A﹑B做驗證實驗,得之模式A之平均絕對誤差
值(Dave值)小於模式B,且模式A之平均相對誤差比率(Per值)較模式B趨近
於1。以Dave值與Per值來比較模式 A﹑B之預測性能,模式A優於模式B。
此研究結果顯示利用自行設計的連續式音波稻穀水份計,對台梗一號稻穀
粒進行等量連續音波位準與稻穀之關係實驗,所得稻穀含水率對等量連續
音波位準與稻穀下落高度之含水率預測模式有良好預測能力,Leq值的量
測可運用於線上即時的稻穀含水率量測。關鍵詞:稻穀﹑音波﹑含水率﹑
水份計。

The value of sound pressure level(SPL) result from the
continuousflowing rece grain varies with the moisture content
and the flow droppingheight. The relationship between the
moisture content of rice, the flow dropping height and the
equivalent continuous sound pressure level (Leq) isestablished
by regression analysis technique in this research. The
regression equation then was served as the foundation the
measurement for the on-linereal-time continuous acoustic rice
grain moisture meter. The dry weight of therice grain was
measured under the condition of 105 C,72 hours by the air oven.
The result of the experiment indicated that Leq values have
thesignificant relation with the flow dropping height and
moisture content. By theregression of Leq on the dropping height
and moisture content was established to obtain two predict
models.1.Model A:Indirect model Leq values were serredas
dependent variables, moisture content and dropping height values
were serredas in dependent variables to established
theregression model. The predict equation of M. C. then be
transformed bythe algebra formula from the regression model.2.
Model B:Direct model M. C. values were adopted as dependent
variables, Leq and droping height values were served as
independent variables. The prediction equationof M. C. then be
established directly by regression technique. The values of
the rice grain flow dropping height is ranged from 250mmto
550mm, and the rice grain moisture content is ranged from
12.6368(%) to25.3157(%). The validation data independent with
the data set for modelestablished were used to compare the
predictive performance of two models.The average absolute
errors(Dave) of Model A was lower than those of Model B.The
average relative error percentage values(Per) of Model A was
more close to unity than those of Model B. The predictive
performance of Model A was superior to Model B. By the
continuous acoustic rice grain moisture meter which hasdeveloped
in this reason. The variety of Taikeng No.1 rice grain.
Therelationship of between the equivalent continuous sound
presure level andmoisture content and dropping height was
established the predict models ofmoisture content. They both
have the good predictive performance. Themeasurement of the Leq
for rice grain could be applied on the on-line real-time, in-
situ measurement of the rice grain moisture meter.Keyword:rice
grain, acoustic, moisture content, moisture meter.

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