一种基于数据融合的电能耗奖惩系统  

Power Rewards System Based on Data Fusion

作　　者：刘玉苹[1] 罗安[1] 孟金岭[1] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082

出　　处：《计算机系统应用》2011年第9期178-181,138,共5页Computer Systems & Applications

基　　金：国家自然科学基金(60774043);国家高技术研究发展计划(863)(2004AA001032)

摘　　要：提出了一种基于数据融合的电能耗奖惩系统。该系统采用灰色系统方法建立GM(1,1)预测模型对历史数据缺失值进行补救,并引入聚类融合方法,定义了欧式距离矩阵,通过最小距离聚类方法确定各传感器之间的融合次序,提高融合结果的客观性。以融合后的数据为基础确定用电单耗定额后,采用引入分级奖惩制度的电能耗奖惩模型对企业各车间进行节奖超罚。工程应用结果表明该系统实用性强,可靠性高。A power rewards system based on data fusion is proposed in this paper. In this system, a grey dynamic model is used to compensate the missing data by building a GM（1,1） forecast model. And a method of clustering fusion for multi-sensors data is introduced to improve the objectivity of data fusion, the method defines the Euclidean distance matrix and determines the orders of sensor fusion according to the minimum distance clustering. The standard value of the unit electricity consumption is obtained on the basis of data fusion, then the power consumption rewards model is used to give rewards or punishment to the corporation workshops. The application results indicate that the system is effective and reliable.

关 键 词：分级奖惩 数据融合 最小距离聚类 缺失数据补救 

分 类 号：TM73[电气工程—电力系统及自动化] TP202[自动化与计算机技术—检测技术与自动化装置]