摘要
从信息特性角度出发将建筑能耗监测系统中的能耗数据划分为统计类信息与监测类信息,并结合采样定理分析了常规采样、变频采样及勒贝勒采样方式的优缺点,最后针对不同建筑能耗信息提出了相应的优化采样方法.建筑能耗数据的优化采样方法可以提高建筑能耗监测系统的数据传输效率、节省数据中心服务器的数据库存储空间,为建筑能耗监测系统的进一步推广提供有力的理论基础与技术支撑.
This paper classifies the data of building energy consumption system as statistics data and monitoring data from the information characteristic point of view, and analyzes the advantages and disadvantages of common sampling methods frequency variable sampling and Lebesgue sampling. Finally, it puts forward the optimization sampling method for differ- ent types of energy data, which could enhance the data transmission efficiency of building energy consumption monitoring system, and save the storage of database. This paper offers important theory and technical support for further applicaiton of building energy monitoring system in future.
出处
《西安建筑科技大学学报(自然科学版)》
CSCD
北大核心
2013年第5期688-693,共6页
Journal of Xi'an University of Architecture & Technology(Natural Science Edition)
基金
国家"十二五"科技支撑计划基金资助项目(2011BAJ03B12-3
2013BAJ10B02-03)
中国博士后科学基金面上资助项目(2013M540227)
关键词
建筑节能
能耗数据
采样定理
采样方法优化
building energy saving
energy consumption data
sampling theory
sampling method optimization