楼宇自动化
计算机科学
商业智能
楼宇管理系统
数据仓库
建筑物管理
数据质量
决策支持系统
设施管理
过程管理
数据管理
钥匙(锁)
自动化
管理制度
工程管理
数据库
数据科学
系统工程
工程类
数据挖掘
运营管理
计算机安全
业务
人工智能
机械工程
公制(单位)
物理
控制(管理)
营销
热力学
作者
Yong Cao,Chen Wang,Jingshu Wei,Xiao Pan
出处
期刊:Journal of physics
[IOP Publishing]
日期:2018-07-01
卷期号:1060: 012011-012011
被引量:1
标识
DOI:10.1088/1742-6596/1060/1/012011
摘要
Huge account of building performance data are generated, collected and preserved in Building Automation Systems (BASs), which have been widely implemented with the development of smart building technology. Based on the key information which under covered in these data, building performance management plan can be created and improved. As a technology complex which concludes data warehouse, online analysis and data mining, business intelligence (BI) can extract, collect, and analyse large amounts of data to support decision-makers in making business decisions. With the assistance of BI based Decision Support System (DSS), desired information from massive building operation data can be found, which upgraded BAS as smart Building Management System. A business intelligence-based health building management system is introduced in this paper which can collect and store various performance data such as indoor environment quality (IEQ), water quality and energy consumption into one database. After processed with a predefined procedure, all preserved data can be processed and displayed with a user-friendly graphic interface. With the assistant of this BI based system, operating managers can make building management decision or revise management plan much more accurately as well as quickly according to real-time online monitoring data.
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