面向智慧校园节能的多维信息融合方法

(1.西安工业大学 计算机科学与工程学院,西安 710021; 2.西安工业大学 经济管理学院,西安 710021

信息融合; 卡尔曼滤波; 复杂事件处理; 有限状态自动机; 智慧校园

Multi-Dimensional Information Fusionmethod for Energy Saving on Smart Campus
JING Xin,LI Shihao,CHENG Jing,ZHANG Xiaotang

(1.School of Computer Science and Engineering,Xi'an Technological University,Xi'an 710021,China; 2.School of Economics and Management,Xi'an Technological University,Xi'an 710021,China)

information fusion; kalman filtering; complex event processing; finite state machine; smart campus

DOI: 10.16185/j.jxatu.edu.cn.2019.06.013 http://xb.xatu.edu.cn

备注

为解决高校在节能方面对多源数据利用不便与不足的问题,文中提出了一种多维信息融合方法。通过队列处理算法对数据流进行分类、排序与重组,加快数据提取速度,采用卡尔曼滤波法对一维信息进行清洗,消除环境噪声,提升数据可靠性,通过复杂事件处理和有限状态自动机对多维信息进行融合,生成设备控制方案; 以某高校为例,提取了四种情境并进行模拟仿真实验。实验结果表明,本方法能够对多维情境信息进行高效处理并产生高层服务,从而对设备进行智能调节与控制,达到了为师生提供智慧化服务的目的

A multi--dimensional information fusion method is proposed to increase the convenience and effectiveness in the utilization of multi-source data in energy saving,Firstly,the data stream is classified,ranked and reorganized by the queue processing algorithm to speed up data extraction.Kalman filtering is employed to clean one-dimensional information to remove environmental noise and improve data reliability.Then,multi-dimensional information is fused through complex event processing and with a finite state machine to generate a device control scheme.Finally,four contexts are designed and simulated in a university.The experimental results show that this method can efficiently process multi-dimensional contextual information and generate high-level services,enabling the equipment to be adjusted and controlled intelligently and thus providing intellectualized service for teachers and students.