{"title":"Geometric optimization of mechanical electrical and plumbing (MEP) information models","authors":"Zhen-Zhong Hu, Shuang Yuan, M. Kassem","doi":"10.35490/EC3.2019.230","DOIUrl":null,"url":null,"abstract":"Building information models of Mechanical, Electrical and Plumbing (MEP) systems are generally characterized by redundant information and a high density of components with irregular shapes. MEP information models, compared with those of other disciplines such architectural and structural, have (i) an extremely larger number of components, (ii) more complex and significant interrelations with other engineering domains, and (iii) more spatial constraints in general, especially when addressing design changes due to restrictions by other systems. Consequently, they require large storage spaces and are not conducive for exchange and interchange purposes. The geometric optimization of MEP information models can play a significant role in facilitating model exchange and handover by increasing the efficiency of their storage, transmission and display. To date, the body of knowledge on geometric optimization of MEP information models is still very limited. This paper aims to address this knowledge and technical gap as follows.","PeriodicalId":126601,"journal":{"name":"Proceedings of the 2019 European Conference on Computing in Construction","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2019 European Conference on Computing in Construction","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35490/EC3.2019.230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Building information models of Mechanical, Electrical and Plumbing (MEP) systems are generally characterized by redundant information and a high density of components with irregular shapes. MEP information models, compared with those of other disciplines such architectural and structural, have (i) an extremely larger number of components, (ii) more complex and significant interrelations with other engineering domains, and (iii) more spatial constraints in general, especially when addressing design changes due to restrictions by other systems. Consequently, they require large storage spaces and are not conducive for exchange and interchange purposes. The geometric optimization of MEP information models can play a significant role in facilitating model exchange and handover by increasing the efficiency of their storage, transmission and display. To date, the body of knowledge on geometric optimization of MEP information models is still very limited. This paper aims to address this knowledge and technical gap as follows.