{"title":"Developing a BPMN for assessing the risk of overheating in a cloud-BIM environment","authors":"Nour Samaro, Timo Hartmann","doi":"10.35490/ec3.2023.335","DOIUrl":null,"url":null,"abstract":"In today's data-driven environments, ensuring workflow efficiency and data security are crucial across various processes. The purpose of this study is to introduce a cloud framework based on Business Process Modeling Notation (BPMN) for assessing overheating risk in residential buildings. The framework provides a comprehensive approach, utilizing BPMN modeling to effectively evaluate and optimize risk assessment. By promoting clarity on shared processes and data, the framework enhances data sharing and assessment efficiency. This research significantly advances the field of overheating risk assessment and contributes to the development of cloud-based services for building assessment.","PeriodicalId":7326,"journal":{"name":"Advances in Informatics and Computing in Civil and Construction Engineering","volume":"14 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advances in Informatics and Computing in Civil and Construction Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.35490/ec3.2023.335","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
In today's data-driven environments, ensuring workflow efficiency and data security are crucial across various processes. The purpose of this study is to introduce a cloud framework based on Business Process Modeling Notation (BPMN) for assessing overheating risk in residential buildings. The framework provides a comprehensive approach, utilizing BPMN modeling to effectively evaluate and optimize risk assessment. By promoting clarity on shared processes and data, the framework enhances data sharing and assessment efficiency. This research significantly advances the field of overheating risk assessment and contributes to the development of cloud-based services for building assessment.