本論文主要針對小區域光環境的均勻配光設計需求，設計適合小區域光環境的燈具及配光要求，從而設計非對稱配光的透鏡，藉由軟體模擬來印證透鏡設計的實用性。本論文以運用疊代運算及環帶光通量法，推導出一套設計透鏡的方程式及理論，以TracePro軟體模擬出透鏡元件，並將建立的模擬透鏡元件的光學輸出配光曲線匯出成IES檔，將檔案匯入至DIALux光學空間模擬軟體，進行光環境的配光模擬分析，比較模擬實驗光環境效果與建立的方程式兩者的差異，印證非對稱配光透鏡的設計流程與效果評比。
不同於一般習用的投射燈對稱配光，只能將光通量集中在一點之上；本研究為了能產生狹窄空間的非對稱小角度均勻配光的光型，讓小角度光型的配光曲線能將光通量均勻分配在垂直面積上，需要精確規劃光路在透鏡內的能量轉移，藉由環帶光通量法與疊代運算，設計出滿足小區域均勻配光的LED特殊透鏡結構。本研究先針對LED光源透鏡的折射面透鏡區、一次反射面透鏡區、二次反射面透鏡區這三個區域進行理論及方程式的推導，並套用程式模擬印證透鏡結構的輸出配光，將TracePro程式的IES檔案匯出，利用DIALux建立光環境空間模型，並實際模擬光環境的配光效果，用以確認模擬分析結果能符合理論的要求。研究模擬證明，本研究流程與方法可以針對不對稱配光需求的光環境空間，提供一個新的透鏡設計方式。

The purpose of this thesis is to establish the mathematical models of secondary asymmetrical optical lens based on lighting zonal flux analysis and iteration method. By using the software to verify the practicability of our designed lens for limited area. By the proposed mathematical equations we are able to meet our requirements. The lighting engineering design software DIALux is used to set up a lighting environment for verifying the practicability of the proposed luminaries. Comparing established equation and the result, we can verify the purpose method.
The thesis is aimed to provide a better and even luminous distribution luminarie suitable for narrow spaces illuminating application with asymmetrical candela distribution by utilizing the refraction area, primary-reflection area and secondary-reflection area. The proposed luminaries gives better overall uniformity of the lighting environment compared with the conventional symmetrical project luminaries which were commonly used in various indoors applications. Based on lighting zonal flux analysis and iteration method, one could distribute the correct optimal optical path precisely and determine the better luminaire structure the . The luminous distribution data files, in standard IES format, given by optical tracing software TracePro were applied into lighting design software DIALux to analyze and evaluate the effectiveness and profits for the proposed luminaries, which in turn to verify the applicability of the derived mathematical models.

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