摘要
针对工业企业能源管理信息系统(EEMIS)建设过程中缺乏能效诊断技术的问题,在传统信息系统和自动化系统的基础上,通过机理建模和机器学习相结合的方法,研究了重点用能设备、耗能工序和能量系统的能效分析模型,提出了一种新型的EEMIS的结构和功能,并开发了软件,弥补了EEMIS在能效分析诊断方面的不足,增强了系统的实用性。
Enterprise energy management information systems(EEMIS) in the industrial field are currently lack of technical about energy efficiency analysis and diagnosis,In this paper,base on traditional IT systems and automatic systems,a new method include mechanism modeling and machine learning is used to study the model of key energy-using equipment,process and energy system.By developing the EEMIS software with a new structure and function,this completes the function of EEMIS in energy efficiency diagnosis,and reinforces the usefulness of the system.
出处
《节能》
2011年第9期59-62,3,共4页
Energy Conservation
关键词
能源管理
能效
信息系统
energy management
energy efficiency
information system
