Application of Artificial Neural Network Approach for Intelligent Building in China

J. Hang, L. Wan
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引用次数: 2

Abstract

Intelligent Buildings (IB) has not been adopted as quickly and widely as expected in China. One of the reasons for this is the lack of information and technology support to IB subsystem involved. This paper redefines the concept and connotation of IB, introduces the essential key element of the intelligent building (IB), analyzes the influence of ANN on the development of IB, elaborates on many subsystems of IB which are time-variant nonlinearity complex system, discusses the role of learning in IB control systems, and further analyzes the application of ANN in the construction of system model, designing control, and the intelligent air-conditioning. Based on the above issues, this paper constructs a system model of IB. Some applications of ANN technology and fuzzy control in IB and the design of intelligent controlling system are discussed. The proposed model will be helpful to solve the existing problems of intelligent building in construction industry.
人工神经网络方法在中国智能建筑中的应用
智能建筑(IB)在中国并没有像预期的那样迅速和广泛地被采用。其中一个原因是缺乏对IB子系统的信息和技术支持。本文重新定义了智能建筑的概念和内涵,介绍了智能建筑的关键要素,分析了人工神经网络对智能建筑发展的影响,阐述了智能建筑的许多时变非线性复杂系统子系统,讨论了学习在智能建筑控制系统中的作用,并进一步分析了人工神经网络在系统模型构建、控制设计、智能空调等方面的应用。在此基础上,本文建立了智能集输系统模型,讨论了人工神经网络技术和模糊控制在智能集输系统中的应用以及智能控制系统的设计。该模型将有助于解决建筑行业智能建筑存在的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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