智慧屋的模擬模型設計與建構，能幫助智慧屋更有彈性的發展、衡量智慧屋的舒適度與規劃智慧屋的佈置。本研究即探討如何發展智慧屋模擬模型之整體架構與設計出智慧屋模擬模型的基本要素。本模擬模型架構主要包含虛擬人、感應器與室溫控制法則三大部份。此模型系統有三個子指標與一總系統總指標。其中三個子指標分別為溫度舒適度感指標、情境感知指標與安全指標，而系統總指標為快樂方程式。本研究的各種實驗包含感知器的位子、人體的移動、人體與環境的溫度、改變活動地點事件的機率、與其他相關條件的參數。本研究的實驗條件利用ANOVA統計方法檢定效果。經由實驗驗證，本研究所發展的室溫控制法則在智慧屋遇到衝擊的環境能彈性調整與回復至平衡狀況。

The purpose of this research is to develop a simulation framework that enables us to simulate and evaluate the performances of a smart house. We define three performance indexes, thermal comfort, context awareness and security, and examine the overall happiness of the humans residing in the smart house. In terms of modeling, we have completed the four building blocks for constructing a basic simulated smart house, that is, a virtual human (its physical movement and physiological status), the smart house environment, sensors and their fuzzy-based characteristics, and an optimization-based intelligence to control room temperature in the smart house. In terms of simulation experiments, this study has examined the impacts of initial room temperatures, human population, decision interval of controlling room temperature, and sensor range. This study has contributed to the development of a smart space for precisely modeling its human behaviors, and the corresponding temperature control rules. We have presented a set of systematic experiments to demonstrate the feasibility and efficiency of the proposed simulation model as evaluating a smart house.

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