{"title":"Application of Artificial Neural Network Approach for Intelligent Building in China","authors":"J. Hang, L. Wan","doi":"10.1109/ICCIT.2009.220","DOIUrl":null,"url":null,"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.","PeriodicalId":112416,"journal":{"name":"2009 Fourth International Conference on Computer Sciences and Convergence Information Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International Conference on Computer Sciences and Convergence Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCIT.2009.220","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.