摘要
针对现有分析平台存在分析结果的确定系数低、方根误差的变异系数高、平台分析精度低的问题,引入Web Service技术,开展了绿色建筑能耗数据分析平台的设计研究。首先,基于平台的浏览器/服务器(Browser/Server,B/S)架构,完成绿色建筑能耗数据分析平台的硬件框架设计。其次,利用Web Service技术实现绿色建筑能耗数据采集与存储。最后,引入Spark Streaming和Apriori算法,完成数据流聚类与关联分析。实验结果证明,新的平台可以显著提升分析结果的确定系数,有效控制方根误差变异系数,平台分析精度更高。
In response to the problems of low determination coefficient of analysis results and high variation coefficient of square root error in existing analysis platforms,in order to improve the accuracy of platform analysis,Web Service technology is introduced to carry out research on the design of green building energy consumption data analysis platform.Firstly,based on the platform's Browser/Server(B/S)architecture,complete the hardware framework design of the green building energy consumption data analysis platform.Secondly,utilize Web Service technology to collect and store energy consumption data for green buildings.Finally.introduce Spark Streaming and Apriori algorithms to complete data stream clustering and association analysis.The experimental results demonstrate that the determination coefficient of the new platform analysis results is significantly improved,the root square error variation coefficient is effectively controlled,and the platform analysis accuracy is higher.
作者
赵丹
ZHAO Dan(Changchun University of Architecture,Jilin Changchun 130000,China)
出处
《信息与电脑》
2023年第13期135-137,共3页
Information & Computer
