{"title":"Vista: Spatial Data Representation for Smart Buildings","authors":"Matilda Kathryn Ferguson, Sudershan Boovaraghavan, Yuvraj Agarwal","doi":"10.1145/3408308.3431112","DOIUrl":null,"url":null,"abstract":"With the increasing prevalence and power of building IoT sensors and devices, there is a growing need for intuitive, accessible, and meaningful data visualization tools that are specific and tailored for building IoT. Existing tools that incorporate spatial contextualization are insulated to specific applications with predefined visualization goals. We present Vista, a front end tool, that presents dynamic data visualizations of building IoT data on an interface that allows for context and deeper evaluation of information. This framework proposes a method to transform any static building floor plan into a dynamic one with which one can create unique and intuitive data representations tailored to their own objectives. The modular design of this tool enables an authoring system flexible to heterogeneous data by separating the visual elements of the floor plan and the relevant data, enabling diverse visual presentations of various types of IoT information and inputs.","PeriodicalId":287030,"journal":{"name":"Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 7th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3408308.3431112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
With the increasing prevalence and power of building IoT sensors and devices, there is a growing need for intuitive, accessible, and meaningful data visualization tools that are specific and tailored for building IoT. Existing tools that incorporate spatial contextualization are insulated to specific applications with predefined visualization goals. We present Vista, a front end tool, that presents dynamic data visualizations of building IoT data on an interface that allows for context and deeper evaluation of information. This framework proposes a method to transform any static building floor plan into a dynamic one with which one can create unique and intuitive data representations tailored to their own objectives. The modular design of this tool enables an authoring system flexible to heterogeneous data by separating the visual elements of the floor plan and the relevant data, enabling diverse visual presentations of various types of IoT information and inputs.