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6. Conclusion
This research work is an attempt of high potentials to make use of computerized control methodology and technology for integrating a new conceptual design for human thermal comfort to the mechanical air-conditioning unit. The embedded system through a standard control-intensive microcontroller available in the market is designed to perform real-time computing functions, which acquire measurements of air temperature from the transducers and control the air-conditioning unit accordingly. The embedded knowledge is deduced by experimental evaluation on the thermal comfort from the actual occupants' responses where it is briefly inferred that the indoor comfort temperature can be obtained by adjusting the indoor air temperature as a function of the outdoor air temperature. In turn, the adaptive comfort model together with a grey prediction model is developed for grey computing of an adaptive control algorithm for temperature set-point control in the embedded system. In the field study, the subjects are questioned on satisfaction of thermal comfort. The theoretical and field studies in this work are systematically implemented to demonstrate first concrete prospect of technical and practical advancements in an embedded control system for adaptive thermal comfort. Finally, the simulated results and the experimental results have good agreement to theoretical study, showing the high viability of the proposed methodology in integrating the knowledge of the adaptive comfort to the embedded system, in maintaining human thermal comfort for subjects in service use.
For future work, relative humidity might be regarded as a controlled variable to fulfill thermal comfort more strictly. Experimental investigations under such controlled conditions are interesting in terms of thermal comfort satisfaction, energy efficiency, and effectiveness of implementation practices.
摘要：通过计算机实现环境控制策略，是对一种机械空调机组进行人体热舒适研究方面的新的先进的知识进行整合的最有效方法之一。最近，设计空调系统的一种新概念的发展已经表明，室内舒适温度强烈地依赖于室外空气温度的变化而不是传统的固定温度设定点。这解释是由于居住者在动态环境中的衣服和活动所体现出的热舒适适应性，当室外温度可以明确地使用作为对室内舒适温度的经验功能的这种变化的最终指示器。在本文中，第一个嵌入式系统的原型是为了模拟这种自适应算法，在数值上确定空调系统中的实时控制室内舒适温度。从理论的角度来看，一个适应性模型与灰色预测模型提出了以一个单一的空调空间的舒适温度的实际应用为基础的控制研究，以模拟结果表明所提出的方法的可行性。研究了对图书馆阅览室的空调的热舒适满意度调查，证实所提出的实时计算机化自适应室内舒适温度的可行性，通过在实际使用常规空调机组的嵌入式系统。
关键词： 自适应控制；空调机组；嵌入式系统；室内舒适温度
1 简介
热舒适性空调空间内影响居住者的生产力和健康。泰国的气候是热带的炎热和潮湿的。与其他国家一样，全年的温度和湿度范围广泛的变化，对在空调空间里有效地保持适应居住者的热舒适性是个挑战。目前，控制方法和计算技术是能量转换的所有步骤中，提高系统效率的关键成功要素。反过来说，研究者的目光已经被吸引到室内环境得热可接受度上，尤其是在对空调系统的能源密集型环境控制策略上 [ 1 ]。这意着空调控制系统的替代方案在整个运行的时间里，是紧密地来保证满足大多数使用者的人体舒适的，以致能量可以被有序的有效的消耗掉。如果热舒适性和空气质量都是令人满意的，那么能量能被空调系统有效的消耗，通过在工作时间里为空调空间提供补充空气。通常，一个空调空间的空气质量可以通过空气通风的需求驱动从室外环境获取一个合适的新鲜空气进风量如图1.