建筑管理环境下能源监测的可视化分析

Arnaud Prouzeau, B. DharshiniM., Manivannan Balasubramaniam, Joshua Henry, Ngoc Hoang, Tim Dwyer
{"title":"建筑管理环境下能源监测的可视化分析","authors":"Arnaud Prouzeau, B. DharshiniM., Manivannan Balasubramaniam, Joshua Henry, Ngoc Hoang, Tim Dwyer","doi":"10.1109/BDVA.2018.8534026","DOIUrl":null,"url":null,"abstract":"Building management systems (BMS) provide monitoring and control of most large-building assets (heating, ventilation, air conditioning, lighting, security systems, and so on). With the recent advancement of the Internet of Things and data management systems, BMS must gather and manage increasingly detailed data coming from a greater number and diversity of sources. The availability of such data should help building managers optimise the energy consumption of buildings. However, current BMS don't allow efficient visualisation of such data, which means that even if the data is available, it is not used to its full potential. In this paper, we describe a prototype BMS interface providing interactive visualisations of traditional building data (temperature, energy consumption), as well as more novel data (comfort feedback from occupants and live occupancy). We evaluate this prototype by first showing how it could be used to plan a long- term energy saving strategy, and then in a feedback session involving facility managers at a university.","PeriodicalId":92742,"journal":{"name":"2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany)","volume":"34 1","pages":"1-9"},"PeriodicalIF":0.0000,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Visual Analytics for Energy Monitoring in the Context of Building Management\",\"authors\":\"Arnaud Prouzeau, B. DharshiniM., Manivannan Balasubramaniam, Joshua Henry, Ngoc Hoang, Tim Dwyer\",\"doi\":\"10.1109/BDVA.2018.8534026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Building management systems (BMS) provide monitoring and control of most large-building assets (heating, ventilation, air conditioning, lighting, security systems, and so on). With the recent advancement of the Internet of Things and data management systems, BMS must gather and manage increasingly detailed data coming from a greater number and diversity of sources. The availability of such data should help building managers optimise the energy consumption of buildings. However, current BMS don't allow efficient visualisation of such data, which means that even if the data is available, it is not used to its full potential. In this paper, we describe a prototype BMS interface providing interactive visualisations of traditional building data (temperature, energy consumption), as well as more novel data (comfort feedback from occupants and live occupancy). We evaluate this prototype by first showing how it could be used to plan a long- term energy saving strategy, and then in a feedback session involving facility managers at a university.\",\"PeriodicalId\":92742,\"journal\":{\"name\":\"2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany)\",\"volume\":\"34 1\",\"pages\":\"1-9\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BDVA.2018.8534026\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Symposium on Big Data Visual and Immersive Analytics (BDVA) : Konstanz, Germany, October 17 -19, 2018. IEEE International Symposium on Big Data Visual and Immersive Analytics (4th : 2018 : Konstanz, Germany)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BDVA.2018.8534026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

楼宇管理系统(BMS)提供对大多数大型楼宇资产(供暖、通风、空调、照明、安全系统等)的监视和控制。随着物联网和数据管理系统的发展,BMS必须收集和管理来自更多和更多样化来源的越来越详细的数据。这些数据的可用性应该有助于建筑物管理人员优化建筑物的能源消耗。然而,目前的BMS不允许对这些数据进行有效的可视化,这意味着即使数据可用,也没有充分利用它的潜力。在本文中,我们描述了一个原型BMS界面,提供传统建筑数据(温度,能耗)的交互式可视化,以及更新颖的数据(居住者的舒适度反馈和居住占用)。我们首先通过展示如何将其用于规划长期节能战略来评估这个原型,然后在一个涉及大学设施管理人员的反馈会议中对其进行评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Visual Analytics for Energy Monitoring in the Context of Building Management
Building management systems (BMS) provide monitoring and control of most large-building assets (heating, ventilation, air conditioning, lighting, security systems, and so on). With the recent advancement of the Internet of Things and data management systems, BMS must gather and manage increasingly detailed data coming from a greater number and diversity of sources. The availability of such data should help building managers optimise the energy consumption of buildings. However, current BMS don't allow efficient visualisation of such data, which means that even if the data is available, it is not used to its full potential. In this paper, we describe a prototype BMS interface providing interactive visualisations of traditional building data (temperature, energy consumption), as well as more novel data (comfort feedback from occupants and live occupancy). We evaluate this prototype by first showing how it could be used to plan a long- term energy saving strategy, and then in a feedback session involving facility managers at a university.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Collaborative Immersive Analytics Multisensory Immersive Analytics Immersive Analytics Applications in Life and Health Sciences Immersive Analytics: An Introduction Immersive Human-Centered Computational Analytics
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1