不同的室內活動會有對應的活動情境設計，包括布景擺飾、背景音樂和燈光照明等等，好的活動情境設計會讓人更加投入在活動中。
本研究主要探討活動情境中燈光照明的部分，並將室內光照分成眩光、照度和色調來討論。
在設計照明時自然光的引入可以讓人充滿活力與朝氣，另外生活中還有許多常見的燈光照明控制，例如，辦公室常用明亮的白強光使人精神振奮，咖啡廳或飯店等場景則使用偏暗柔和的光使人放鬆心情。
但是，自然光中太陽反射造成的眩光卻會造成不適甚至傷害人眼。
本研究利用光線模擬系統，控制室內的光源和百葉窗達到最符合室內活動情境的照明。
傳統的感測器迴路控制，需要透過經驗才能安裝在適合的位置，且大多僅能測試單點的光照度，因此需要較多的感測器才能完成，也不符合室內光照均齊的概念。
而對整個場景生成渲染的模擬方法，單一控制結果需要數小時的計算時間，不適合實務上使用；且考慮的多為整體的光照數值，容易造成區域間的亮度有很大的差異，也無法做到不同區域的個別光照控制。
本研究輸入三維場景模型、百葉窗位置及室內光源位置，標註活動區域、室內觀測位置和觀測方向，透過預計算靜態的室內燈光和自然光等資訊，加快渲染模擬的流程。
之後從場景中觀察者視角渲染影像，本研究根據光照在室內場景的分布、色調和眩光來設計目標函數。
預先對場景區域做分類，根據活動情境設計各區域的照度和色調，來計算光照在室內場景分布的成本及色調的成本；並利用全視域成像以進行眩光分析。
之後使用最佳化計算，達成活動情境的開窗及燈光最佳化控制系統。
最後本研究進行可靠性研究來驗證系統，確認目標函數的設計是合理有效的，讓系統能根據不同的活動情境計算出適合的百葉窗及室內光源控制參數。

Different indoor activities will need corresponding active scenario design, including decorations, background music, lighting, etc.
A good active scenario design will make people more involved in it.
In this work, we mainly discuss the lighting part in the active scenario, and divide it into glare, illuminance and color.
When design active scenario lighting, introduce natural light can make people full of energy.
In addition, there are many lighting design in life.
For example, bright white light is often used in the office to inspire people.
%Scenes such as cafes or hotels use warm and soft light to make people relax.
But, the glare caused by the reflection of the sun can cause discomfort and even hurt eyes.
Our work uses a light simulation system to control indoor light sources and blinds to achieve the most suitable illuminance for indoor active scenario.
Traditional lighting sensor requires experience to be installed in a suitable position.
And most of them can only sense the illuminance of a single point, which does not conform to the concept of uniform indoor lighting.
It cannot achieve that by adding more sensors.
On the other hand, the physical-based rendering method takes several hours to render a single control result, which is not properly for practical use.
And most of them only consider the average global illuminance, and cannot achieve different regions lighting control.
Our system inputs the 3D scene model, the position of the blinds and the position of the indoor light source.
Then mark the focus region, set indoor observation location ,and set observation direction.
We precompute static indoor lighting and daylight to speed up the process of rendering simulation.
Finally, we render the image from the observer's view to analyze the scene illuminance.
Our system designs the objective function according to the light distribution, glare and color.
We design each region's target value of the illuminance and color according to the active scenario.
Then, calculate the cost of light distribution, glare and color based on the rendered image.
Afterwards, we use optimization algorithm to achieve the most properly illuminance for indoor active scenario.
Furthermore, we conduct a reliability study to show that our objective function is reasonable and effective.

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