基于粗糙集理论的中央空调节能评测的研究  

Rough Set Theory Based Evaluation Method of Energy-saving for Central Air-conditioning System

作　　者：李秀娟[1] 纪赖恩[1] 许晓东[1] 

机构地区：[1]河南工业大学电气工程学院,河南郑州450007

出　　处：《控制工程》2010年第3期286-289,共4页Control Engineering of China

基　　金："十一五"国家支撑计划资助项目(2008BADA8B0402);河南省科技攻关资助项目(092102210008)

摘　　要：为提高中央空调节能评测方法的准确性和效率,提出了应用粗糙集理论的中央空调系统节能评测方法,解决了空调节能因素的属性约简问题和决策规则的不确定性问题。对中央空调系统原始参数进行聚类量化处理,构建出中央空调节能决策表;应用差别矩阵的方法计算决策表的核,求出决策表的最优或次优约简,找出影响中央空调节能的确定性因素和不确定性因素;利用确定性因子和覆盖因子确定决策规则集。示例结果表明应用粗糙集理论的空调节能评测方法科学有效、可行。To improve the accuracy and efficiency of the central air-conditioning energy-saving methods,an energy-saving evaluation approach based on rough set theory for central air-conditioning system is proposed,which can solve the uncertainties from attribute reduction and decision rule of the factors.The decision table of central air-conditioning energy-saving is set by quantifying and clustering the original parameters.The core of the table and,the optimal or suboptimal reduction are computed by the discernibility matrix method.And the certainty and uncertainty factors in energy saving are obtained.The set of decision rules is established by the certainty factor and the coverage factor.The examples show that the proposed approach is efficient and feasible.

关 键 词：中央空调节能 粗糙集理论 属性约简 确定性因子 覆盖因子 

分 类 号：TP27[自动化与计算机技术—检测技术与自动化装置]