不确定环境下智能大厦空调系统调度策略评估

发布时间：2018-01-03 00:32

本文关键词：不确定环境下智能大厦空调系统调度策略评估　出处：《软件学报》2016年03期 　论文类型：期刊论文

【摘要】：近年来,智能大厦的概念在国内外受到了高度的关注.相比于传统的建筑,智能大厦更加节能、舒适、易维护,已成为未来建筑的发展趋势.作为智能大厦空调通风系统的关键部分,空调系统及其调度策略决定了大厦整体的节能效果以及大厦中用户的舒适度.然而,由于智能大厦所处的环境具有许多不确定因素,极大地增加了空调系统调度策略设计与评估的复杂程度.因此,如何设计与评估不确定环境下空调系统的调度策略成为了智能大厦设计者面临的一大挑战.已有的方法主要针对智能大厦空调系统进行能耗与性能等方面的分析,但尚未有方法针对调度策略本身进行分析与评估.提出一种基于价格时间自动机的调度策略评估框架,支持对不确定环境下的智能大厦进行精确建模与定量评估.该框架使用UPPAAL-SMC作为属性查询引擎对模型进行随机模拟运行,根据模拟结果对不同调度策略下大厦的能耗及用户的舒适度进行定量分析.实验结果表明,该方法能够有效地帮助设计者进行策略的制定和选取.
[Abstract]:In recent years, the concept of Intelligent Building has received great attention at home and abroad. Compared to the traditional building, Intelligent Building, more energy-efficient, comfortable, easy to maintain, has become the trend of future construction. As a key part of Intelligent Building air-conditioning ventilation system, air conditioning system and its scheduling strategy determines the energy saving effect of the building as a whole and users in the building comfort. However, because the Intelligent Building environment has many uncertainties, greatly increases the complexity of the design and evaluation of scheduling strategy for air conditioning system. Therefore, how to design and evaluate the uncertainty of air conditioning system under the environment of the scheduling strategy has become a major challenge facing the Intelligent Building designers. The existing methods mainly carries on the analysis energy consumption and performance aspects of the air conditioning system for the Intelligent Building, but no method of analysis and evaluation of the scheduling strategy itself. A framework to evaluate the price time automaton based scheduling policy, support for accurate modeling and quantitative evaluation of uncertainty under the environment of Intelligent Building. The framework uses UPPAAL-SMC as the attribute query engine to stochastic simulation operation of the model, according to the simulation results, the energy consumption of different scheduling strategy building and user comfort experiment were quantitatively analyzed. The results show that this method can effectively help designers to carry out the strategy formulation and selection.

【作者单位】：上海市高可信计算重点实验室(华东师范大学);
【基金】：国家自然科学基金(91418203,61202103,61202104) 上海市教委创新项目(14ZZ047) 上海市知识服务平台(ZF1213)~~
【分类号】：TU83
【正文快照】： 智能大厦作为智能电网(smart grid)技术[1]的重要组成部分逐渐在国内外兴起.智能大厦依赖于现代建筑科技、计算机技术、控制技术以及通信技术的发展,能够根据不断变化的内外部环境进行调整,内部系统高度集成,资源管理更加高效,同时也更加节能舒适,是未来建筑的发展趋势.在智能

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