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題名 | Relationship between Probability and Differential Models of Airborne Dust Dynamic in Ventilated Livestock Housing=通風畜舍中氣懸粉塵動態之機率與微分模式關係 |
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作者 | 廖中明; |
期刊 | 農業工程學報 |
出版日期 | 19951200 |
卷期 | 41:4 1995.12[民84.12] |
頁次 | 頁53-64 |
分類號 | 437.12 |
語文 | eng |
關鍵詞 | 氣懸粉塵; 機率模式; 微分模式; 停留時間; 通風畜舍; Airbome dust; Probability model; Differential model; Residence time; Ventilated livestock housing; |
中文摘要 | 本文顯示描述通風畜舍中氣懸粉塵動態行為之微分模式與一機率模式相一致。系統模式可藉一以系統傳輸矩陣特性化之微分方程表示,亦可藉一以時變轉換機率矩陣特性化之機率公式表達。由此兩者模式間關係可導得一結構式鑑定演算法則。此演算法則不僅可檢視一多空間系統其輸入/輸出量測之內在結構並可決定需何種實驗以獲取其內在關聯性。由機率模式之物理及數學分析可導出通風空間中氣懸粉塵之停留時間模式。因此,應用一微分方程式一機率公式對參數鑑定或物理定義之解釋皆為最適用途。最後舉一典型通風畜舍中氣懸粉塵分佈之模擬例以說明此演算法則之應用。 |
英文摘要 | This paper shows the differential model describes the dynamics of airborne dust in ventilated livestock housing is consistent with a probability description. The system model can be represented either by a differential equation characterized by a system transport matrix or a probability formulation characterized by a time-dependence transition probability matrix. A structural identification algorithm is derived from the relationship between both models. The algorithm is useful not only to get insight into the internal structure of a multi-airspace system from input/ output measurements but to determine what experiments are necessary to obtain uniquely the internal couplings. From the physical and mathematical analysis of the probability model leads to a residence time model of airborne dusts in a ventilated airspace. Therefore, either a differential equation or a probability formulation for parameter identification or for physical interpretation can suit the purpose. To illustrate this procedure, the algorithm is applied to simulate the airborne dust distribution in typical ventilated livestock housing. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。