面向智慧校园节能的多维信息融合方法  

Multi-Dimensional Information Fusionmethod for Energy Saving on Smart Campus

作　　者：荆心 李世豪 成静[1] 张晓棠[2] JING Xin;LI Shihao;CHENG Jing;ZHANG Xiaotang(School of Computer Science and Engineering,Xi’an Technological University,Xi’an 710021,China;School of Economics and Management,Xi’an Technological University,Xi’an 710021,China)

机构地区：[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

出　　处：《西安工业大学学报》2019年第6期703-711,共9页Journal of Xi’an Technological University

基　　金：陕西省教育厅专项科研计划(17JK0376);陕西省自然科学基础研究计划(2019JM-484)

摘　　要：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.

关 键 词：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 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]