Alireza Jaribion, Siavash H. Khajavi, J. Holmström
{"title":"IoT-Enabled Workplaces: A Case Study of Energy Management and Data Analytics","authors":"Alireza Jaribion, Siavash H. Khajavi, J. Holmström","doi":"10.1109/IECON.2019.8927003","DOIUrl":null,"url":null,"abstract":"In this paper, a use case related to smart buildings is presented to illustrate the application of IoT-enabled workplaces. The data collected from two office spaces are compared using efficient data analytics method. For this comparison, the environmental factors considered are temperature, humidity, air quality, and workplace particle numbers. This paper demonstrates how to build IoT-enabled workplaces and illustrates its actual benefits to energy management and remote systems monitoring and control. A survey was conducted by the Department of Industrial Engineering and Management at Aalto University, and responses were submitted from 50 unique users to illustrate the incentives regarding IoT-enabled workplaces and to study occupants' preferences. Moreover, the research results contribute to the facility management of companies and organizations by suggesting novel methods for providing more efficient and effective IoT-enabled workplaces.","PeriodicalId":187719,"journal":{"name":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IECON.2019.8927003","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In this paper, a use case related to smart buildings is presented to illustrate the application of IoT-enabled workplaces. The data collected from two office spaces are compared using efficient data analytics method. For this comparison, the environmental factors considered are temperature, humidity, air quality, and workplace particle numbers. This paper demonstrates how to build IoT-enabled workplaces and illustrates its actual benefits to energy management and remote systems monitoring and control. A survey was conducted by the Department of Industrial Engineering and Management at Aalto University, and responses were submitted from 50 unique users to illustrate the incentives regarding IoT-enabled workplaces and to study occupants' preferences. Moreover, the research results contribute to the facility management of companies and organizations by suggesting novel methods for providing more efficient and effective IoT-enabled workplaces.